Data Integration Quotes

Cognitive robotics can integrate information from pre-operation medical records with real-time operating metrics to guide and enhance the precision of physicians’ instruments. By processing data from genuine surgical experiences, they’re able to provide new and improved insights and techniques. These kinds of improvements can improve patient outcomes and boost trust in AI throughout the surgery. Robotics can lead to a 21% reduction in length of stay.

This is the most important thing I will ever say to you. The human mind is the ultimate testing device. You can take all the notes you want on the technical data, anything you forget you can look up again, but this must be engraved on your hearts in letters of fire. There is nothing, nothing, nothing, more important to me in the men and women I train than their absolute personal integrity. Whether you function as welders or inspectors, the laws of physics are implacable lie detectors. You may fool men. You will never fool metal. That’s all.

Data observability systems improve customer loyalty. Its just true that transparency builds trust and trust is integral to healthy relationships of every kind.

To supply data is not enough. The data have to be integrated with strategy, they have to test a company’s assumptions, and they must challenge a company’s current outlook. One

Reason functions by integrating perceptual data into concepts.

Change is a more complicated process involving brain integration than is data gathering.

The need for data integration often only becomes apparent if you zoom out and consider the dataflows across an entire organization.

AI won’t replace humans, but people who can use it will.” This sounds reassuring, but it oversimplifies the complex future of work and AI integration. Experts predict a surge in opportunities, but the intricate interplay between cognification, mass automation, and how we work remains uncharted. The net effect of AI on employment is unknown - we have no data on the future.

Pseudoscience is almost always recognizable from a distance, and easy to confirm on close examination. Science is, however, not immune from hubris, and bad science can be tougher to spot. Those of us who make a living from science or science media must display scientific integrity. We must constantly test our assumptions and fight the siren song of consensus when our data tells us to be contrarian. We must remain independent of political or religious bias in evaluating our work. We must admit when we are wrong, and remain willing to evolve when verifiable data demands change. We must admit when we are uncertain, remain humble in advances, and offer courageous and independent advice grounded in science.

One of the main cyber-risks is to think they don’t exist. The other is to try to treat all potential risks. Fix the basics, protect first what matters for your business and be ready to react properly to pertinent threats. Think data, but also business services integrity, awareness, customer experience, compliance, and reputation.

Until now, I've been writing about "now" as if it were literally an instant of time, but of course human faculties are not infinitely precise. It is simplistic to suppose that physical events and mental events march along exactly in step, with the stream of "actual moments" in the outside world and the stream of conscious awareness of them perfectly synchronized. The cinema industry depends on the phenomenon that what seems to us a movie is really a succession of still pictures, running at twenty-five [sic] frames per second. We don't notice the joins. Evidently the "now" of our conscious awareness stretches over at least 1/25 of a second. In fact, psychologists are convinced it can last a lot longer than that. Take he familiar "tick-tock" of the clock. Well, the clock doesn't go "tick-tock" at all; it goes "tick-tick," every tick producing the same sound. It's just that our consciousness runs two successive ticks into a singe "tick-tock" experience—but only if the duration between ticks is less than about three seconds. A really bug pendulum clock just goes "tock . . . tock . . . tock," whereas a bedside clock chatters away: "ticktockticktock..." Two to three seconds seems to be the duration over which our minds integrate sense data into a unitary experience, a fact reflected in the structure of human music and poetry.

as architect of choosing... choose. to. live. awakened. entirely. wholly. wildly powerful,  deeply masterful,  authentically creative, thriving.  this is not a hoped-for possible self. [reminder: this is an immutable Law of your being] needing not to learn the skill of being whole,  the antidote is to unlearn the habit of living incompletely here’s the practice: ‘know thyself‘—its about spirit  righteousness is underrated elevate connection with the changeless essence seek similitude with the will of Source and will of self 'choose thyself'—its about substance sacred. sagacious. spacious. in thought, word and deed— intend to: honor virtue. innovate enthusiastically. master integrity. 'become who you are'—its about style  a human, being an entrepreneur of life experiences a human, being a purveyor of preferences being-well with the known experience of soul, in service your relationship with insecurities, contradictions, & failures? obstacles or...invitations to grow? [mindset forms manifestation] emotions are messengers are gifts data for discernment: dare to deconstruct them your fears a belief renovation: fear.less. & aspire towards ascendance, anyway support your shine lean into the Light be.come. incandescent as architect of choosing, I choose...  to disrupt the energy of the status quo, to eclipse the realms of ordinary, & to live--a life-well lived. w/ spirit, substance & style.

Prior to Y.P.W.c.’s Freedom of Speculation Act, credible sociohistorical data on the origins and evolution of Les Assassins des Fauteuils Rollents from obscure, adolescent, nihilistic Root Cult to one of the most feared cells in the annals of Canadian extremism was regrettably patchy and dependent on the hearsay of sources whose scholarly veracity was of an integrity somewhat less than unimpeachable.

An integrated automation factory should ensure cost savings, stabilisation and reduced turnaround times across all services.

Protecting data is not just about preventing unauthorized access. It also involves ensuring data integrity and availability.

The tech companies are destroying something precious, which is the possibility of contemplation. They have created a world in which we’re constantly watched and always distracted. Through their accumulation of data, they have constructed a portrait of our minds, which they use to invisibly guide mass behavior (and increasingly individual behavior) to further their financial interests. They have eroded the integrity of institutions—media, publishing—that supply the intellectual material that provokes thought and guides democracy. Their most precious asset is our most precious asset, our attention, and they have abused it.

By the 1960s, the electronic computer had become an integral tool of science, technology, and business. Without its capacities for memorizing, calculating, comparing, and displaying astronomical amounts of data, the lunar landing program would have been impossible.

Every computing device today has five basic components: (1) the integrated circuits that do the computing; (2) the memory units that store and retrieve information; (3) the networking systems that enable communications within and across computers; (4) the software applications that enable different computers to perform myriad tasks individually and collectively; and (5) the sensors—cameras and other miniature devices that can detect movement, language, light, heat, moisture, and sound and transform any of them into digitized data that can be mined for insights.

Developing and maintaining integrity require constant attention. John Weston, chairman and CEO of Automatic Data Processing, Inc., says, “I`ve always tried to live with the following simple rule: Don`t do what you wouldn`t feel comfortable reading about in the newspapers the next day.” That`s a good standard all of us should keep.

In the same way, hybrid models of blended learning are not noticeably simpler for teachers than the existing system. On the contrary, in many cases they appear to require all the expertise of the traditional model plus new expertise in managing digital devices and in integrating data across all the supplemental online experiences in the teacher-directed rotation.

The question is no longer whether we use technology or not; it's about working together in a better way. Surrounding technologies like Siri, Alexa, or Cortana are seamlessly integrated into our interactions. We walk into the room, turn on the lights, play songs, change the room temperature, keep track of shopping lists, book a ride at the airport, or remind you to take the right medication on time.

Every change that is made to an application’s configuration, source code, environment, or data, triggers the creation of a new instance of the pipeline. One of the first steps in the pipeline is to create binaries and installers. The rest of the pipeline runs a series of tests on the binaries to prove that they can be released. Each test that the release candidate passes gives us more confidence that this particular combination of binary code, configuration information, environment, and data will work. If the release candidate passes all the tests, it can be released. The deployment pipeline has its foundations in the process of continuous integration and is in essence the principle of continuous integration taken to its logical conclusion. The aim of the deployment pipeline is threefold. First, it makes every part of the process of building, deploying, testing, and releasing software visible to everybody involved, aiding collaboration. Second, it improves feedback so that problems are identified, and so resolved, as early in the process as possible. Finally, it enables teams to deploy and release any version of their software to any environment at will through a fully automated process.

That rarely happens in the other mental modes. In preacher mode, changing our minds is a mark of moral weakness; in scientist mode, it’s a sign of intellectual integrity. In prosecutor mode, allowing ourselves to be persuaded is admitting defeat; in scientist mode, it’s a step toward the truth. In politician mode, we flip-flop in response to carrots and sticks; in scientist mode, we shift in the face of sharper logic and stronger data.

Message traffic indicated that IUSS (Integrated Undersea Surveillance System) had sniffs of a number of the newest operational class of Russian SSNs, the Akula II, heading south from the Sea of Okhotsk area toward the South China Sea—and the numbers did not match naval intelligence’s initial expectations. Satellite imagery of Vladivostok showed three submarines missing, and data from Petropavlosk added another missing sub, for a total of four, but IUSS was picking up seven different Akula class SSNs. New data, however, showed three more missing from the Russian base in the Kola Peninsula. Naval intelligence had been concentrating on the Pacific theater and had missed the departure of the North Fleet Akula II SSNs the week before. These Akulas had completed an under-ice transfer through the Bering Straits before they were detected in the Bering Sea, and had rendezvoused with the PACFLT Akulas east of the Kurile Islands.

Oath of Non-Harm for an Age of Big Data I swear to fulfill, to the best of my ability, the following covenant: I will respect all people for their integrity and wisdom, understanding that they are experts in their own lives, and will gladly share with them all the benefits of my knowledge. I will use my skills and resources to create bridges for human potential, not barriers. I will create tools that remove obstacles between resources and the people who need them. I will not use my technical knowledge to compound the disadvantage created by historic patterns of racism, classism, able-ism, sexism, homophobia, xenophobia, transphobia, religious intolerance, and other forms of oppression. I will design with history in mind. To ignore a four-century-long pattern of punishing the poor is to be complicit in the “unintended” but terribly predictable consequences that arise when equity and good intentions are assumed as initial conditions. I will integrate systems for the needs of people, not data. I will choose system integration as a mechanism to attain human needs, not to facilitate ubiquitous surveillance. I will not collect data for data’s sake, nor keep it just because I can. When informed consent and design convenience come into conflict, informed consent will always prevail. I will design no data-based system that overturns an established legal right of the poor. I will remember that the technologies I design are not aimed at data points, probabilities, or patterns, but at human beings.

What in the world is going on, what is going on? I mean what does it mean to be incarnate in a human body, in a squirrely culture like this, trying to make sense of your heritage, your opportunities the contents of the culture, the contents of your own mind? Is it possible to have an overarching viewpoint that is not somehow canned or cultish or self-limited in its approach, in other words, is it possible to cultivate an open mind and sanity in the kind of society and psychological environment that we all share? And it grows daily and weekly, as you know, harder to do this, weirder to integrate more on your plate, to assimilate and I certainly don’t have final or even merely final answers. I think it all lies in posing the questions in a certain way, in feeling the data in a certain way. And one of the things I try to convince people is it’s not necessary to achieve closure with this stuff. And in fact any ideological or belief system that offers closure, meaning final answers, is sure to be wrong, sure to be self-limiting, sure to be inadequate to the facts. So one of the ideas I’d like to put out is the idea that ideology is not our friend, it is not a matter of choosing from the smartest board of ideologies and rejecting the flawed, the self-contradictory and this over simple, in favor of the un-flawed, the complex enough. Where is it written in adamantine that semi-carnivorous monkeys can or should be capable of understanding reality? That seems to be one of the first delusions, and one of the more prideful illusions of human culture, that a final understanding is possible in the first place. Better, I think, to try and frame questions which can endure, and leave off searching for answers, because answers are like operating systems, they’re being upgraded faster than you can keep up with it.

There are more politics in modern medicine than in modern politics itself. Today's average physician deserves even less trust than today's average politician, as doctors continue their refusal to allow the scientific data on the profound benefits of vitamins and other antioxidant supplements to reach their eyes and brains. And the staunch support of a press, which collectively no longer has a shred of journalistic or scientific integrity, completes the framing of today's colossal medical fraud. Money always rules the day: properly-dosed vitamins would eliminate far too much of the profit of prescription-based medicine.

New high-tech tools allow for more precise measuring and tracking, better sharing of information, and increased visibility of targeted populations. In a system dedicated to supporting poor and working-class people's self-determination, such diligence would guarantee that they attain all the benefits they are entitled to by law. In that context, integrated data and modernized administration would not necessarily result in bad outcomes for poor communities. But automated decision-making in our current welfare system acts a lot like older, atavistic forms of punishment and containment. It filters and diverts. It is a gatekeeper, not a facilitator.

An important attribute of metabolites is their close relationship to both the biological states of interest (i.e. disease status) and relevant genomic, transcriptomic, and proteomic variants causally related to the disease state. As such, metabo-profiles can be viewed as an intermediate measure that links pre-disposing genes and environmental exposures to a resulting disease state. Causal metabolites also typically have a stronger relationship (i.e. larger effect size) to the underlying genetics and the disease phenotype. Thus, the integration of metabolomic data into systems biology approaches may provide a missing link between genes and disease states.

In a remarkable letter to the director of the Vatican Observatory, John Paul II wrote: The church does not propose that science should become religion or religion science. On the contrary, unity always presupposes the diversity and integrity of its elements. Each of these members should become not less itself but more itself in a dynamic interchange, for a unity in which one of the elements is reduced to the other is destructive, false in its promises of harmony, and ruinous of the integrity of its components. We are asked to become one. We are not asked to become each other. . . . Unity involves the drive of the human mind towards understanding and the desire of the human spirit for love. When human beings seek to understand the multiplicities that surround them, when they seek to make sense of experience, they do so by bringing many factors into a common vision. Understanding is achieved when many data are unified by a common structure. The one illuminates the many: it makes sense of the whole. . . . We move towards unity as we move towards meaning in our lives. Unity is also the consequence of love. If love is genuine, it moves not towards the assimilation of the other but towards union with the other. Human community begins in desire when that union has not been achieved, and it is completed in joy when those who have been apart are now united.10

Google had a built-in disadvantage in the social networking sweepstakes. It was happy to gather information about the intricate web of personal and professional connections known as the “social graph” (a term favored by Facebook’s Mark Zuckerberg) and integrate that data as signals in its search engine. But the basic premise of social networking—that a personal recommendation from a friend was more valuable than all of human wisdom, as represented by Google Search—was viewed with horror at Google. Page and Brin had started Google on the premise that the algorithm would provide the only answer. Yet there was evidence to the contrary. One day a Googler, Joe Kraus, was looking for an anniversary gift for his wife. He typed “Sixth Wedding Anniversary Gift Ideas” into Google, but beyond learning that the traditional gift involved either candy or iron, he didn’t see anything creative or inspired. So he decided to change his status message on Google Talk, a line of text seen by his contacts who used Gmail, to “Need ideas for sixth anniversary gift—candy ideas anyone?” Within a few hours, he got several amazing suggestions, including one from a colleague in Europe who pointed him to an artist and baker whose medium was cake and candy. (It turned out that Marissa Mayer was an investor in the company.) It was a sobering revelation for Kraus that sometimes your friends could trump algorithmic search.

Wild animals enjoying one another and taking pleasure in their world is so immediate and so real, yet this reality is utterly absent from textbooks and academic papers about animals and ecology. There is a truth revealed here, absurd in its simplicity. This insight is not that science is wrong or bad. On the contrary: science, done well, deepens our intimacy with the world. But there is a danger in an exclusively scientific way of thinking. The forest is turned into a diagram; animals become mere mechanisms; nature's workings become clever graphs. Today's conviviality of squirrels seems a refutation of such narrowness. Nature is not a machine. These animals feel. They are alive; they are our cousins, with the shared experience kinship implies. And they appear to enjoy the sun, a phenomenon that occurs nowhere in the curriculum of modern biology. Sadly, modern science is too often unable or unwilling to visualize or feel what others experience. Certainly science's "objective" gambit can be helpful in understanding parts of nature and in freeing us from some cultural preconceptions. Our modern scientific taste for dispassion when analyzing animal behaviour formed in reaction to the Victorian naturalists and their predecessors who saw all nature as an allegory confirming their cultural values. But a gambit is just an opening move, not a coherent vision of the whole game. Science's objectivity sheds some assumptions but takes on others that, dressed up in academic rigor, can produce hubris and callousness about the world. The danger comes when we confuse the limited scope of our scientific methods with the true scope of the world. It may be useful or expedient to describe nature as a flow diagram or an animal as a machine, but such utility should not be confused with a confirmation that our limited assumptions reflect the shape of the world. Not coincidentally, the hubris of narrowly applied science serves the needs of the industrial economy. Machines are bought, sold, and discarded; joyful cousins are not. Two days ago, on Christmas Eve, the U.S. Forest Service opened to commercial logging three hundred thousand acres of old growth in the Tongass National Forest, more than a billion square-meter mandalas. Arrows moved on a flowchart, graphs of quantified timber shifted. Modern forest science integrated seamlessly with global commodity markets—language and values needed no translation. Scientific models and metaphors of machines are helpful but limited. They cannot tell us all that we need to know. What lies beyond the theories we impose on nature? This year I have tried to put down scientific tools and to listen: to come to nature without a hypothesis, without a scheme for data extraction, without a lesson plan to convey answers to students, without machines or probes. I have glimpsed how rich science is but simultaneously how limited in scope and in spirit. It is unfortunate that the practice of listening generally has no place in the formal training of scientists. In this absence science needlessly fails. We are poorer for this, and possibly more hurtful. What Christmas Eve gifts might a listening culture give its forests? What was the insight that brushed past me as the squirrels basked? It was not to turn away from science. My experience of animals is richer for knowing their stories, and science is a powerful way to deepen this understanding. Rather, I realized that all stories are partly wrapped in fiction—the fiction of simplifying assumptions, of cultural myopia and of storytellers' pride. I learned to revel in the stories but not to mistake them for the bright, ineffable nature of the world.

I think people use fuzzy verbs when they are afraid that if they make strong statements, someone may challenge them or they may be wrong. If people feel challenged, you have engaged their interest, and that is good. Challenging proposals sometimes get funded; boring ones never do. Also remember, you are a scientist — it is not your job to be right. It is your job to be thoughtful, careful, and analytical; it is your job to challenge your ideas and to try to falsify your hypotheses; it is your job to be open and honest about the uncertainties in your data and conclusions. But if you are doing cutting-edge work, you are not always going to be right. You may have some aspects of the system right but others wrong; your piece of the system may be counterbalanced by others; you may even have misinterpreted your data. As long as you did it with honesty, integrity, and intellect, you did right, even if you weren’t right.

I know that the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer. How can we affect national policy—or even make intelligent decisions in our own lives—if we don’t grasp the underlying issues? As I write, Congress is dissolving its own Office of Technology Assessment—the only organization specifically tasked to provide advice to the House and Senate on science and technology. Its competence and integrity over the years have been exemplary. Of the 535 members of the U.S. Congress, rarely in the twentieth century have as many as one percent had any significant background in science. The last scientifically literate President may have been Thomas Jefferson.* So how do Americans decide these matters? How do they instruct their representatives? Who in fact makes these decisions, and on what basis? —

Saint John Paul II wrote, “when its concepts and conclusions can be integrated into the wider human culture and its concerns for ultimate meaning and value.”7 Religion, too, develops best when its doctrines are not abstract and fixed in an ancient past but integrated into the wider stream of life. Albert Einstein once said that “science without religion is lame and religion without science is blind.”8 So too, John Paul II wrote: “Science can purify religion from error and superstition; religion can purify science from idolatry and false absolutes. Each can draw the other into a wider world, a world in which both can flourish.”9 Teilhard de Chardin saw that dialogue alone between the disciplines is insufficient; what we need is a new synthesis of science and religion, drawing insights from each discipline into a new unity. In a remarkable letter to the director of the Vatican Observatory, John Paul II wrote: The church does not propose that science should become religion or religion science. On the contrary, unity always presupposes the diversity and integrity of its elements. Each of these members should become not less itself but more itself in a dynamic interchange, for a unity in which one of the elements is reduced to the other is destructive, false in its promises of harmony, and ruinous of the integrity of its components. We are asked to become one. We are not asked to become each other. . . . Unity involves the drive of the human mind towards understanding and the desire of the human spirit for love. When human beings seek to understand the multiplicities that surround them, when they seek to make sense of experience, they do so by bringing many factors into a common vision. Understanding is achieved when many data are unified by a common structure. The one illuminates the many: it makes sense of the whole. . . . We move towards unity as we move towards meaning in our lives. Unity is also the consequence of love. If love is genuine, it moves not towards the assimilation of the other but towards union with the other. Human community begins in desire when that union has not been achieved, and it is completed in joy when those who have been apart are now united.10 The words of the late pope highlight the core of catholicity: consciousness of belonging to a whole and unity as a consequence of love.

Due to the various pragmatic obstacles, it is rare for a mission-critical analysis to be done in the “fully Bayesian” manner, i.e., without the use of tried-and-true frequentist tools at the various stages. Philosophy and beauty aside, the reliability and efficiency of the underlying computations required by the Bayesian framework are the main practical issues. A central technical issue at the heart of this is that it is much easier to do optimization (reliably and efficiently) in high dimensions than it is to do integration in high dimensions. Thus the workhorse machine learning methods, while there are ongoing efforts to adapt them to Bayesian framework, are almost all rooted in frequentist methods. A work-around is to perform MAP inference, which is optimization based. Most users of Bayesian estimation methods, in practice, are likely to use a mix of Bayesian and frequentist tools. The reverse is also true—frequentist data analysts, even if they stay formally within the frequentist framework, are often influenced by “Bayesian thinking,” referring to “priors” and “posteriors.” The most advisable position is probably to know both paradigms well, in order to make informed judgments about which tools to apply in which situations.

The motor activities we take for granted—getting out of a chair and walking across a room, picking up a cup and drinking coffee,and so on—require integration of all the muscles and sensory organs working smoothly together to produce coordinated movements that we don't even have to think about. No one has ever explained how the simple code of impulses can do all that. Even more troublesome are the higher processes, such as sight—in which somehow we interpret a constantly changing scene made of innumerable bits of visual data—or the speech patterns, symbol recognition, and grammar of our languages.Heading the list of riddles is the "mind-brain problem" of consciousness, with its recognition, "I am real; I think; I am something special." Then there are abstract thought, memory, personality,creativity, and dreams. The story goes that Otto Loewi had wrestled with the problem of the synapse for a long time without result, when one night he had a dream in which the entire frog-heart experiment was revealed to him. When he awoke, he knew he'd had the dream, but he'd forgotten the details. The next night he had the same dream. This time he remembered the procedure, went to his lab in the morning, did the experiment, and solved the problem. The inspiration that seemed to banish neural electricity forever can't be explained by the theory it supported! How do you convert simple digital messages into these complex phenomena? Latter-day mechanists have simply postulated brain circuitry so intricate that we will probably never figure it out, but some scientists have said there must be other factors.

I sought to accomplish whatever was to be accomplished for anyone in such a manner that the advantage attained for anyone would never be served at the cost of another or others.” This speaks to the integrity of Bucky’s intentions and his desire to put principle before self-gain. “I sought to cope with all humanly unfavorable conditions, customs and afflictions by searching for the family of relevant physical principles involved, and therewith through invention and technological development to solve all problems by physical data and devices that were so much more effective as to be spontaneously adopted by humans and thereby to result in producing more desirable life-styles and thus emancipate humans from the previously unfavorable circumstances. I must always ‘reduce’ my inventions to physically working models and must never talk about the inventions until physically proven— or disproven. The new favorable-to-humans environment constituted by the technological inventions and information must demonstrate that new inanimate technology could now accomplish what heretofore could not be accomplished by social reforms. I sought to reform the environment, not the humans. I determined never to try to persuade humanity to alter its customs and viewpoints.” In this declaration, we find Bucky’s thought that one way to help and change people for the better is not to try to change their thinking, but to change their environment for the better. The change will do the work of allowing others to find their own betterment of thought. He was suggesting that social reform does not always help people because their physical environment is so unimproved.

Moore’s Law, the rule of thumb in the technology industry, tells us that processor chips—the small circuit boards that form the backbone of every computing device—double in speed every eighteen months. That means a computer in 2025 will be sixty-four times faster than it is in 2013. Another predictive law, this one of photonics (regarding the transmission of information), tells us that the amount of data coming out of fiber-optic cables, the fastest form of connectivity, doubles roughly every nine months. Even if these laws have natural limits, the promise of exponential growth unleashes possibilities in graphics and virtual reality that will make the online experience as real as real life, or perhaps even better. Imagine having the holodeck from the world of Star Trek, which was a fully immersive virtual-reality environment for those aboard a ship, but this one is able to both project a beach landscape and re-create a famous Elvis Presley performance in front of your eyes. Indeed, the next moments in our technological evolution promise to turn a host of popular science-fiction concepts into science facts: driverless cars, thought-controlled robotic motion, artificial intelligence (AI) and fully integrated augmented reality, which promises a visual overlay of digital information onto our physical environment. Such developments will join with and enhance elements of our natural world. This is our future, and these remarkable things are already beginning to take shape. That is what makes working in the technology industry so exciting today. It’s not just because we have a chance to invent and build amazing new devices or because of the scale of technological and intellectual challenges we will try to conquer; it’s because of what these developments will mean for the world.

..."facts" properly speaking are always and never more than interpretations of the data... the Gospel accounts are themselves such data or, if you like, hard facts. But the events to which the Gospels refer are not themselves "hard facts"; they are facts only in the sense that we interpret the text, together with such other data as we have, to reach a conclusion regarding the events as best we are able. They are facts in the same way that the verdict of a jury establishes the facts of the case, the interpretation of the evidence that results in the verdict delivered. Here it is as well to remember that historical methodology can only produce probabilities, the probability that some event took place in such circumstances being greater or smaller, depending on the quality of the data and the perspective of the historical enquirer. The jury which decides what is beyond reasonable doubt is determining that the probability is sufficiently high for a clear-cut verdict to be delivered. Those who like "certainty" in matters of faith will always find this uncomfortable. But faith is not knowledge of "hard facts"...; it is rather confidence, assurance, trust in the reliability of the data and in the integrity of the interpretations derived from that data... It does seem important to me that those who speak for evangelical Christians grasp this nettle firmly, even if it stings! – it is important for the intellectual integrity of evangelicals. Of course any Christian (and particularly evangelical Christians) will want to get as close as possible to the Jesus who ministered in Galilee in the late 20s of the first century. If, as they believe, God spoke in and through that man, more definitively and finally than at any other time and by any other medium, then of course Christians will want to hear as clearly as possible what he said, and to see as clearly as possible what he did, to come as close as possible to being an eyewitness and earwitness for themselves. If God revealed himself most definitively in the historical particularity of a Galilean Jew in the earliest decades of the Common Era, then naturally those who believe this will want to inquire as closely into the historical particularity and actuality of that life and of Jesus’ mission. The possibility that later faith has in some degree covered over that historical actuality cannot be dismissed as out of the question. So a genuinely critical historical inquiry is necessary if we are to get as close to the historical actuality as possible. Critical here, and this is the point, should not be taken to mean negatively critical, hermeneutical suspicion, dismissal of any material that has overtones of Easter faith. It means, more straightforwardly, a careful scrutiny of all the relevant data to gain as accurate or as historically responsible a picture as possible. In a day when evangelical, and even Christian, is often identified with a strongly right-wing, conservative and even fundamentalist attitude to the Bible, it is important that responsible evangelical scholars defend and advocate such critical historical inquiry and that their work display its positive outcome and benefits. These include believers growing in maturity • to recognize gray areas and questions to which no clear-cut answer can be given (‘we see in a mirror dimly/a poor reflection’), • to discern what really matters and distinguish them from issues that matter little, • and be able to engage in genuine dialogue with those who share or respect a faith inquiring after truth and seeking deeper understanding. In that way we may hope that evangelical (not to mention Christian) can again become a label that men and women of integrity and good will can respect and hope to learn from more than most seem to do today.

This is not a hypothetical example. In the middle of the nineteenth century Karl Marx reached brilliant economic insights. Based on these insights he predicted an increasingly violent conflict between the proletariat and the capitalists, ending with the inevitable victory of the former and the collapse of the capitalist system. Marx was certain that the revolution would start in countries that spearheaded the Industrial Revolution – such as Britain, France and the USA – and spread to the rest of the world. Marx forgot that capitalists know how to read. At first only a handful of disciples took Marx seriously and read his writings. But as these socialist firebrands gained adherents and power, the capitalists became alarmed. They too perused Das Kapital, adopting many of the tools and insights of Marxist analysis. In the twentieth century everybody from street urchins to presidents embraced a Marxist approach to economics and history. Even diehard capitalists who vehemently resisted the Marxist prognosis still made use of the Marxist diagnosis. When the CIA analysed the situation in Vietnam or Chile in the 1960s, it divided society into classes. When Nixon or Thatcher looked at the globe, they asked themselves who controls the vital means of production. From 1989 to 1991 George Bush oversaw the demise of the Evil Empire of communism, only to be defeated in the 1992 elections by Bill Clinton. Clinton’s winning campaign strategy was summarised in the motto: ‘It’s the economy, stupid.’ Marx could not have said it better. As people adopted the Marxist diagnosis, they changed their behaviour accordingly. Capitalists in countries such as Britain and France strove to better the lot of the workers, strengthen their national consciousness and integrate them into the political system. Consequently when workers began voting in elections and Labour gained power in one country after another, the capitalists could still sleep soundly in their beds. As a result, Marx’s predictions came to naught. Communist revolutions never engulfed the leading industrial powers such as Britain, France and the USA, and the dictatorship of the proletariat was consigned to the dustbin of history. This is the paradox of historical knowledge. Knowledge that does not change behaviour is useless. But knowledge that changes behaviour quickly loses its relevance. The more data we have and the better we understand history, the faster history alters its course, and the faster our knowledge becomes outdated.

A different approach was taken in 1972 by Dr. Walter Mischel, also of Stanford, who analyzed yet another characteristic among children: the ability to delay gratification. He pioneered the use of the “marshmallow test,” that is, would children prefer one marshmallow now, or the prospect of two marsh-mallows twenty minutes later? Six hundred children, aged four to six, participated in this experiment. When Mischel revisited the participants in 1988, he found that those who could delay gratification were more competent than those who could not. In 1990, another study showed a direct correlation between those who could delay gratification and SAT scores. And a study done in 2011 indicated that this characteristic continued throughout a person’s life. The results of these and other studies were eye-opening. The children who exhibited delayed gratification scored higher on almost every measure of success in life: higher-paying jobs, lower rates of drug addiction, higher test scores, higher educational attainment, better social integration, etc. But what was most intriguing was that brain scans of these individuals revealed a definite pattern. They showed a distinct difference in the way the prefrontal cortex interacted with the ventral striatum, a region involved in addiction. (This is not surprising, since the ventral striatum contains the nucleus accumbens, known as the “pleasure center.” So there seems to be a struggle here between the pleasure-seeking part of the brain and the rational part to control temptation, as we saw in Chapter 2.) This difference was no fluke. The result has been tested by many independent groups over the years, with nearly identical results. Other studies have also verified the difference in the frontal-striatal circuitry of the brain, which appears to govern delayed gratification. It seems that the one characteristic most closely correlated with success in life, which has persisted over the decades, is the ability to delay gratification. Although this is a gross simplification, what these brain scans show is that the connection between the prefrontal and parietal lobes seems to be important for mathematical and abstract thought, while the connection between the prefrontal and limbic system (involving the conscious control of our emotions and pleasure center) seems to be essential for success in life. Dr. Richard Davidson, a neuroscientist at the University of Wisconsin–Madison, concludes, “Your grades in school, your scores on the SAT, mean less for life success than your capacity to co-operate, your ability to regulate your emotions, your capacity to delay your gratification, and your capacity to focus your attention. Those skills are far more important—all the data indicate—for life success than your IQ or your grades.

One way of describing the direction in which our own culture is moving is that many of us are starting to adapt what we might call a digital form of life—one which takes life in the infosphere for granted, precisely because the digital is so seamlessly integrated into our lives. The Internet of Things is becoming the Internet of Us, and figuratively, if not yet literally, we are becoming digital humans.

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It now seems clear that a capacity to learn would be an integral feature of the core design of a system intended to attain general intelligence, not something to be tacked on later as an extension or an afterthought. The same holds for the ability to deal effectively with uncertainty and probabilistic information. Some faculty for extracting useful concepts from sensory data and internal states, and for leveraging acquired concepts into flexible combinatorial representations for use in logical and intuitive reasoning, also likely belong among the core design features in a modern AI intended to attain general intelligence.

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More to the point for US intelligence, while it took the Dutch Safety Board more than a year to reach its conclusions, we had the Russians dead to rights in just a few hours, fusing data from our so-called “national technical means satellites,” intercepts, and open-source reporting—particularly social media. For me, our ability to pinpoint attribution for this tragedy to an overly aggressive and trigger-happy Russian military was particularly gratifying, because I’d lived through the downing of Korean Air Lines Flight 007 in 1983. This time we had systems in place that were designed to collect the relevant information, systems that would allow us to show precisely what happened. Not only did those systems work as advertised, but we also had the means in place to integrate data

Imagination is the human faculty that assimilates sensory data into images, upon which the intellect can then act; it is the basis of all reasoned thought as well as all artistic, or what we would call ‘imaginative,’ exercise.

Across the country, poor and working-class people are targeted by new tools of digital poverty management and face life-threatening consequences as a result. Automated eligibility systems discourage them from claiming public resources that they need to survive and thrive. Complex integrated databases collect their most personal information, with few safeguards for privacy or data security, while offering almost nothing in return. Predictive models and algorithms tag them as risky investments and problematic parents. Vast complexes of social service, law enforcement, and neighborhood surveillance make their every move visible and offer up their behavior for government, commercial, and public scrutiny

A company’s revenue engine is a critical success factor. I had seen from my own direct experience how easy it was to get caught in silos: marketing people would just think of marketing, salespeople would just think of sales, and accounting wouldn’t think of itself as part of the revenue engine at all. Furthermore, product and the revenue engine were too often thought of completely independent of each other. The need for a more integrated approach was on my mind from the beginning. The revenue engine is a whole system. It encompasses a diverse set of integrated components, each doing its part to advance the system’s purpose. The engine is not just comprised of marketing and sales— it includes product, accounting, and the underlying technology and data infrastructure required to keep everything flowing. It involves people, tools, workflow, and metrics. Its purpose is to optimize reach, conversion, and expansion of customer spend. I call my revenue engine model “the bowtie schema.” It was the product of continuous iteration. As I interacted with marketing and sales practitioners and waded through the research, the model slowly emerged. The final model conveys not just the product and customer journey across the bowtie, but also the foundational layers that support that journey-- the interaction between people tools, workflow, and metrics that make it all happen. The most basic question a CEO must answer is whether the product has achieved a value breakthrough. Without that, the revenue engine is irrelevant. Once product-market fit is confirmed, the next step is to clearly identify your ideal customer profile (ICP) and your business model. This includes the lifetime value (LTV) profile of your company. Assuming a strong product, a clear ICP, and a solid understanding of the constraints composed by your unit economics, the path forward is clear. Then, the focus will turn to uplifting the maturity of your revenue engine and scaling it efficiently.

By using the case formulation skills in this book, you are committed to scientific principles: keep data separate from speculation, test the validity of hypotheses with data, and treat interventions as experiments.

gather all the points of view, the data, integrate them if possible and present the president with some options, get a decision and develop an implementation plan.

The revenue engine is a whole system. It encompasses a diverse set of integrated components, each doing its part to advance the system’s purpose. The engine is not just comprised of marketing and sales— it includes product, accounting, and the underlying technology and data infrastructure required to keep everything flowing. It involves people, tools, workflow, and metrics. Its purpose is to optimize reach, conversion, and expansion of customer spend.

Understand the requirements for a “clean” database that is “tidy” and ready for use in statistical analysis. Understand the steps of cleaning raw data, integrating data, reducing and reshaping

Data integration is the process of combining data derived from various data sources (such as databases, flat files, etc.) into a consistent dataset. There are a number of issues to consider

Can your leadership team identify your trade-offs? It is often easy to see trade-offs in other companies, but can you articulate your own? There are no optical drives in any Apple Airs or data ports in iPads. Has your enterprise similarly been able to say no to your equivalent of optical drives and data ports? Apple may lose some customers who want an integrated DVD player. They are okay with that. Starbucks may lose some customers on a tight budget who are in a big hurry. They are okay with that.

Here’s something you may not know: every time you go to Facebook or ESPN.com or wherever, you’re unleashing a mad scramble of money, data, and pixels that involves undersea fiber-optic cables, the world’s best database technologies, and everything that is known about you by greedy strangers. Every. Single. Time. The magic of how this happens is called “real-time bidding” (RTB) exchanges, and we’ll get into the technical details before long. For now, imagine that every time you go to CNN.com, it’s as though a new sell order for one share in your brain is transmitted to a stock exchange. Picture it: individual quanta of human attention sold, bit by bit, like so many million shares of General Motors stock, billions of times a day. Remember Spear, Leeds & Kellogg, Goldman Sachs’s old-school brokerage acquisition, and its disappearing (or disappeared) traders? The company went from hundreds of traders and two programmers to twenty programmers and two traders in a few years. That same process was just starting in the media world circa 2009, and is right now, in 2016, kicking into high gear. As part of that shift, one of the final paroxysms of wasted effort at Adchemy was taking place precisely in the RTB space. An engineer named Matthew McEachen, one of Adchemy’s best, and I built an RTB bidding engine that talked to Google’s huge ad exchange, the figurative New York Stock Exchange of media, and submitted bids and ads at speeds of upwards of one hundred thousand requests per second. We had been ordered to do so only to feed some bullshit line Murthy was laying on potential partners that we were a real-time ads-buying company. Like so much at Adchemy, that technology would be a throwaway, but the knowledge I gained there, from poring over Google’s RTB technical documentation and passing Google’s merciless integration tests with our code, would set me light-years ahead of the clueless product team at Facebook years later.

The meaningful design of experiences in physical space now regularly overlaps with the meaningful design of experiences in digital space.

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The logo for this growing professional community [Christian psychotherapy] was the word integration. Through articles and books the integrationist agenda was hammered out. Psychology and theology would mutually stimulate one another. Liberals had simply bowed to psychology as a superior authority. In contrast, integrationist evangelicals sought to interact with psychology in a sophisticated manner, hoping to weed out the tares of error form the wheat of truth. They sought to plunder psychological data and explanatory categories, utilizing a grid of general scriptural themes. The sought to profit from psychology's practices and institutional arrangements, under the guidance of general scriptural principles.

The circuitry of a modern CPU is housed in a single integrated circuit or chip, millions of miniature circuits manufactured in a sliver of silicon. A processor's current instruction and data values are stored temporarily inside the CPU in special high-speed memory locations called registers. Some multiprocessor computers have multiple CPU chips or a multi-core processor (a single chip containing multiple CPUs). These computers are capable of faster speeds because they can process different sets of instructions at the same time.

Our understanding of the sociology of knowledge leads to the conclusion that the sociologies of language and religion cannot be considered peripheral specialties of little interest to sociological theory as such, but have essential contributions to make to it. This insight is not new. Durkheim and his school had it, but it was lost for a variety of theoretically irrelevant reasons. We hope we have made it clear that the sociology of knowledge presupposes a sociology of language, and that a sociology of knowledge without a sociology of religion is impossible (and vice versa). Furthermore, we believe that we have shown how the theoretical positions of Weber and Durkheim can be combined in a comprehensive theory of social action that does not lose the inner logic of either. Finally, we would contend that the linkage we have been led to make here between the sociology of knowledge and the theoretical core of the thought of Mead and his school suggests an interesting possibility for what might be called a sociological psychology, that is, a psychology that derives its fundamental perspectives from a sociological understanding of the human condition. The observations made here point to a program that seems to carry theoretical promise. More generally, we would contend that the analysis of the role of knowledge in the dialectic of individual and society, of personal identity and social structure, provides a crucial complementary perspective for all areas of sociology. This is certainly not to deny that purely structural analyses of social phenomena are fully adequate for wide areas of sociological inquiry, ranging from the study of small groups to that of large institutional complexes, such as the economy or politics. Nothing is further from our intentions than the suggestion that a sociology-of-knowledge “angle” ought somehow to be injected into all such analyses. In many cases this would be unnecessary for the cognitive goal at which these studies aim. We are suggesting, however, that the integration of the findings of such analyses into the body of sociological theory requires more than the casual obeisance that might be paid to the “human factor” behind the uncovered structural data. Such integration requires a systematic accounting of the dialectical relation between the structural realities and the human enterprise of constructing reality—in history. We

When flimsy cyber defense fails, Format Preserving Encryption prevails

Fiscal Numbers (the latter uniquely identifies a particular hospitalization for patients who might have been admitted multiple times), which allowed us to merge information from many different hospital sources. The data were finally organized into a comprehensive relational database. More information on database merger, in particular, how database integrity was ensured, is available at the MIMIC-II web site [1]. The database user guide is also online [2]. An additional task was to convert the patient waveform data from Philips’ proprietary format into an open-source format. With assistance from the medical equipment vendor, the waveforms, trends, and alarms were translated into WFDB, an open data format that is used for publicly available databases on the National Institutes of Health-sponsored PhysioNet web site [3]. All data that were integrated into the MIMIC-II database were de-identified in compliance with Health Insurance Portability and Accountability Act standards to facilitate public access to MIMIC-II. Deletion of protected health information from structured data sources was straightforward (e.g., database fields that provide the patient name, date of birth, etc.). We also removed protected health information from the discharge summaries, diagnostic reports, and the approximately 700,000 free-text nursing and respiratory notes in MIMIC-II using an automated algorithm that has been shown to have superior performance in comparison to clinicians in detecting protected health information [4]. This algorithm accommodates the broad spectrum of writing styles in our data set, including personal variations in syntax, abbreviations, and spelling. We have posted the algorithm in open-source form as a general tool to be used by others for de-identification of free-text notes [5].

It would not be just my OCD patients and their PET scans, or any other data from neuroscience alone, that would drive the final nail in the coffin of materialism. It would be the integration of those data with physics. If there is to be a resolution to the mystery of how mind relates to matter, it will emerge from explaining the data of the human brain in terms of these laws—laws capable of giving rise to a very different view of the causal efficacy of human consciousness. Quantum mechanics makes it feasible to describe a mind capable of exerting effects that neurons alone cannot.

Statistical malfeasance has very little to do with bad math. Judgement an integrity turn out to be surprisingly important. A detailed knowledge of statistics does not deter wrongdoing any more than a detailed knowledge of the law averts criminal behavior.

This book is a compilation of interesting ideas that have strongly influenced my thoughts and I want to share them in a compressed form. That ideas can change your worldview and bring inspiration and the excitement of discovering something new. The emphasis is not on the technology because it is constantly changing. It is much more difficult to change the accompanying circumstances that affect the way technological solutions are realized. The chef did not invent salt, pepper and other spices. He just chooses good ingredients and uses them skilfully, so others can enjoy his art. If I’ve been successful, the book creates a new perspective for which the selection of ingredients is important, as well as the way they are smoothly and efficiently arranged together. In the first part of the book, we follow the natural flow needed to create the stimulating environment necessary for the survival of a modern company. It begins with challenges that corporations are facing, changes they are, more or less successfully, trying to make, and the culture they are trying to establish. After that, we discuss how to be creative, as well as what to look for in the innovation process. The book continues with a chapter that talks about importance of inclusion and purpose. This idea of inclusion – across ages, genders, geographies, cultures, sexual orientation, and all the other areas in which new ways of thinking can manifest – is essential for solving new problems as well as integral in finding new solutions to old problems. Purpose motivates people for reaching their full potential. This is The second and third parts of the book describes the areas that are important to support what is expressed in the first part. A flexible organization is based on IT alignment with business strategy. As a result of acceleration in the rate of innovation and technological changes, markets evolve rapidly, products’ life cycles get shorter and innovation becomes the main source of competitive advantage. Business Process Management (BPM) goes from task-based automation, to process-based automation, so automating a number of tasks in a process, and then to functional automation across multiple processes andeven moves towards automation at the business ecosystem level. Analytics brought us information and insight; AI turns that insight into superhuman knowledge and real-time action, unleashing new business models, new ways to build, dream, and experience the world, and new geniuses to advance humanity faster than ever before. Companies and industries are transforming our everyday experiences and the services we depend upon, from self-driving cars, to healthcare, to personal assistants. It is a central tenet for the disruptive changes of the 4th Industrial Revolution; a revolution that will likely challenge our ideas about what it means to be a human and just might be more transformative than any other industrial revolution we have seen yet. Another important disruptor is the blockchain - a distributed decentralized digital ledger of transactions with the promise of liberating information and making the economy more democratic. You no longer need to trust anyone but an algorithm. It brings reliability, transparency, and security to all manner of data exchanges: financial transactions, contractual and legal agreements, changes of ownership, and certifications. A quantum computer can simulate efficiently any physical process that occurs in Nature. Potential (long-term) applications include pharmaceuticals, solar power collection, efficient power transmission, catalysts for nitrogen fixation, carbon capture, etc. Perhaps we can build quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning. Perhaps a quantum deep learning network can be trained more efficiently, e.g. using a smaller training set. This is still in conceptual research domain.

Project evaluation is a critical task in the management of a project primarily to assess project maximizing outcomes. However systematic collection of data is integrated with the evaluation process that may be conducted at various project phases, and the task of the evaluation-the approach depends upon the type of project, the project vision, the provision, the timeline of the project, and the phase of the project.

Structured methods for learning Method Uses Useful for Organizational climate and employee satisfaction surveys Learning about culture and morale. Many organizations do such surveys regularly, and a database may already be available. If not, consider setting up a regular survey of employee perceptions. Useful for managers at all levels if the analysis is available specifically for your unit or group. Usefulness depends on the granularity of the collection and analysis. This also assumes the survey instrument is a good one and the data have been collected carefully and analyzed rigorously. Structured sets of interviews with slices of the organization or unit Identifying shared and divergent perceptions of opportunities and problems. You can interview people at the same level in different departments (a horizontal slice) or bore down through multiple levels (a vertical slice). Whichever dimension you choose, ask everybody the same questions, and look for similarities and differences in people’s responses. Most useful for managers leading groups of people from different functional backgrounds. Can be useful at lower levels if the unit is experiencing significant problems. Focus groups Probing issues that preoccupy key groups of employees, such as morale issues among frontline production or service workers. Gathering groups of people who work together also lets you see how they interact and identify who displays leadership. Fostering discussion promotes deeper insight. Most useful for managers of large groups of people who perform a similar function, such as sales managers or plant managers. Can be useful for senior managers as a way of getting quick insights into the perceptions of key employee constituencies. Analysis of critical past decisions Illuminating decision-making patterns and sources of power and influence. Select an important recent decision, and look into how it was made. Who exerted influence at each stage? Talk with the people involved, probe their perceptions, and note what is and is not said. Most useful for higher-level managers of business units or project groups. Process analysis Examining interactions among departments or functions and assessing the efficiency of a process. Select an important process, such as delivery of products to customers or distributors, and assign a cross-functional group to chart the process and identify bottlenecks and problems. Most useful for managers of units or groups in which the work of multiple functional specialties must be integrated. Can be useful for lower-level managers as a way of understanding how their groups fit into larger processes. Plant and market tours Learning firsthand from people close to the product. Plant tours let you meet production personnel informally and listen to their concerns. Meetings with sales and production staff help you assess technical capabilities. Market tours can introduce you to customers, whose comments can reveal problems and opportunities. Most useful for managers of business units. Pilot projects Gaining deep insight into technical capabilities, culture, and politics. Although these insights are not the primary purpose of pilot projects, you can learn a lot from how the organization or group responds to your pilot initiatives. Useful for managers at all levels. The size of the pilot projects and their impact will increase as you rise through the organization.

Learning Plan Template Before Entry Find out whatever you can about the organization’s strategy, structure, performance, and people. Look for external assessments of the performance of the organization. You will learn how knowledgeable, fairly unbiased people view it. If you are a manager at a lower level, talk to people who deal with your new group as suppliers or customers. Find external observers who know the organization well, including former employees, recent retirees, and people who have transacted business with the organization. Ask these people open-ended questions about history, politics, and culture. Talk with your predecessor if possible. Talk to your new boss. As you begin to learn about the organization, write down your first impressions and eventually some hypotheses. Compile an initial set of questions to guide your structured inquiry after you arrive. Soon After Entry Review detailed operating plans, performance data, and personnel data. Meet one-on-one with your direct reports and ask them the questions you compiled. You will learn about convergent and divergent views and about your reports as people. Assess how things are going at key interfaces. You will hear how salespeople, purchasing agents, customer service representatives, and others perceive your organization’s dealings with external constituencies. You will also learn about problems they see that others do not. Test strategic alignment from the top down. Ask people at the top what the company’s vision and strategy are. Then see how far down into the organizational hierarchy those beliefs penetrate. You will learn how well the previous leader drove vision and strategy down through the organization. Test awareness of challenges and opportunities from the bottom up. Start by asking frontline people how they view the company’s challenges and opportunities. Then work your way up. You will learn how well the people at the top check the pulse of the organization. Update your questions and hypotheses. Meet with your boss to discuss your hypotheses and findings. By the End of the First Month Gather your team to feed back to them your preliminary findings. You will elicit confirmation and challenges of your assessments and will learn more about the group and its dynamics. Now analyze key interfaces from the outside in. You will learn how people on the outside (suppliers, customers, distributors, and others) perceive your organization and its strengths and weaknesses. Analyze a couple of key processes. Convene representatives of the responsible groups to map out and evaluate the processes you selected. You will learn about productivity, quality, and reliability. Meet with key integrators. You will learn how things work at interfaces among functional areas. What problems do they perceive that others do not? Seek out the natural historians. They can fill you in on the history, culture, and politics of the organization, and they are also potential allies and influencers. Update your questions and hypotheses. Meet with your boss again to discuss your observations.

Measuring replication rates across different experiments requires that research be reviewed in some fashion. Research reviews can be classified into four types. A type 1 review simply identifies and discusses recent developments in a field, usually focusing on a few exemplar experiments. Such reviews are often found in popular-science magazines such as Scientific American. They are also commonly used in skeptical reviews of psi research because one or two carefully selected exemplars can provide easy targets to pick apart. The type 2 review uses a few research results to highlight or illustrate a new theory or to propose a new theoretical framework for understanding a phenomenon. Again, the review is not designed to be comprehensive but only to illustrate a general theme. Type 3 reviews organize and synthesize knowledge from various areas of research. Such narrative reviews are not comprehensive, because the entire pool of combined studies from many disciplines is typically too large to consider individually. So again, a few exemplars of the “best” studies are used to illustrate the point of the synthesis. Type 4 is the integrative review, or meta-analysis, which is a structured technique for exhaustively analyzing a complete body of experiments. It draws generalizations from a set of observations about each experiment.1 Integration Meta-analysis has been described as “a method of statistical analysis wherein the units of analysis are the results of independent studies, rather than the responses of individual subjects.”2 In a single experiment, the raw data points are typically the participants’ individual responses. In meta-analysis, the raw data points are the results of separate experiments.

Unveiling the Benefits of Numerology Certification Courses in Mumbai | Occult Science Numerology Certification Courses in Mumbai, Offer people the chance to study and practice numerology, an old metaphysical science that looks at the meaning of numbers in our life, much like in many other regions of the world. These Courses offer Various Advantages: Awareness of Numerology: The principles of numerology, including the significance of numbers, their vibrations, and how they connect to various facets of life, are covered in a systematic curriculum offered by certification schools. The basis for advanced studies is this understanding. Enhancing your personal growth: journey of self-discovery can be achieved while learning numerology. People can learn more about their own personality traits, strengths, weaknesses, and life path thanks to this. A deeper understanding of oneself and personal improvement can result from this self-awareness. Choosing a career: As a professional numerologist, you may have more employment options after earning a certification in numerology. To clients looking for guidance regarding their lives, relationships, and job decisions, you can provide readings, consultations, and counsel. This can be a fulfilling and possibly lucrative career. Improved Decision-Making: Making vital choices in life can benefit from the use of numerology. By comprehending the energies connected to particular numbers and their compatibility with individual vibrations, it can assist people in making informed decisions about their job, relationships, and other parts of life. Compatibility in relationships: Numerology can be utilized for determining a pair's compatibility in a relationship. Understanding one other's numerical compatibility can enhance communication and reduce tension. Integrative Health: Numerologists who hold this viewpoint consider it to be complementary to other forms of holistic medicine. Based on a person's data, it can offer insights into their health difficulties and possible treatments. Growth spiritually: Numerology has been described as a form of spirituality. It may improve a person's awareness of spirituality and offer a structure for exploring into queries about the soul's journey. The Self-Employed: Numerologists have the option to work for themselves, giving them the freedom to set their own hours. Those looking for independence and a work-life balance may find this particularly appealing. Helping others: Many people find satisfaction in using numerology readings to help others. Giving customers advice and insight can be a satisfying way to make a difference in their life. Personal hobbies and interests: Certification programmes can be an interesting hobby and a way to further your personal development, even if you don't want to follow numerology as a career. It's important to do some research about a numerology certification course's subject matter, an organization or instructor who teaches it, and the certification's standing in the industry before enrolling. Additionally, while numerology can be an original and unique topic of study, think about whether it fits with your personal interests and objectives. For More Details: Click Here

Both science and spirituality are integral to the process of Life. Science helps you to question, seek answers, explore the unknown, examine data and find reason; it enhances knowledge. Spirituality helps you to question, seek answers, explore the unknown, embrace experiences and awaken; it removes ignorance. Both are complementary aha-inducing ways of bringing meaning to an otherwise, apparently, meaningless Life – because you came with nothing and you will go away with nothing!

Enlightenment triggering data needs to be processed by all systems for successful integration. This will cause a period of significant growing pains, which some cultures call “being eaten by the snake.” A rebirth must involve a complete reboot. There is no picking and choosing. - Tyler

Brave applies a two-pronged strategy to this problem. It has created a new browser designed to work seamlessly with its tokens. The browser blocks all ads by default and, with sophisticated analytics, collates and anonymizes data from users that indicate how much time they spend looking at certain content. That way it can come up with a useful record of the amount of time we all spend at Internet sites without identifying us. As a user of the Brave browser, you are offered the potential to earn BATs for selectively turning off the ad blocker to view ads; tokens are delivered to an integrated wallet that you uniquely control. You can in turn use those tokens to reward publishers of content that you appreciate—in effect, tipping them with donations. Meanwhile, to place ads with publishers of content on the system, advertisers must first acquire BATs and then pay those tokens to publishers, with the price for those ads dictated by the attention metrics associated with the latter’s content.

The emotional landscape of leadership is untapped and underdeveloped. Typically, leadership energy focuses on the efficiency of managerial operations. There is ample training on becoming productive but very little on integrating our emotional data toward competency within the landscape of commerce.

Educators’ lives are filled with opportunities to develop their own social awareness during student and adult interactions. They participate in work groups, such as co-teaching, professional learning programs, faculty meetings, team meetings, data analysis teams, developing common assessments, lesson-study groups, and curriculum development committees. The checklist in the figure below can be modified to fit any type of group activity. It can be reviewed by the supervisor or coach and the educator prior to the activity. After the activity, the educator can be asked to confidentially self-assess his or skills, thereby increasing self-awareness of his/her relationship skills and self-management skills.

Simple Fast Funnels may be the new kid on the block when it comes to a complete bumper to bumper CRM system, but it’s a force to be reckoned with! Business owners are switching over right and left and I’m going to outline 10 of the best features of Simple Fast Funnels so you can see what all the buzz is about! Funnel builder: Simple Fast Funnels has easy intuitive software so you can build your own landing pages, funnels, websites, sales pages etc. No developer needed, everything included and simple to use Email Software: Instead of paying hundreds or thousands per month to send emails, this software does it for you! You can have your entire email list automated or send emails on the fly, whatever fits the bill for you, they’ve got you covered and it’s so easy to track your email results so you can modify and make improvements as you go. Online Membership Area: Now, for no additional fees that lot’s of CRM software likes to charge, you can build glorious membership areas for your clients. You can control timing on video releases, give access for certain time periods upset packages… whatever your business looks like, if you can dream it, you can build it in the membership area. Survey and quiz generator: Ramp up your lead capture game to grow your customer list! One of the best ways to get leads is to get your customers talking about themselves. Not only do people love to take surveys and quizzes, but it can help you gather information about your clients to serve them better and grow your sales! SMS Marketing Software: If you’re not messaging your customers, you’re missing out, and if you are messaging your customers you’re probably over paying. Amazing automated intuitive SMS marketing can make your life much easier and allow you to reach your customers in more ways. Being where your customers are more present is always good for business. Simple Fast Funnels helps you get the cheapest SMS rates around and it automatically integrates into the system for your unified messages. Appointment booking: Another expensive thing you used to have to pay for and try to get to work properly with your website AND look decent is also built right in. Now, without leaving Simple Fast Funnels, you’re able to capture the lead, follow up with the lead all over the place, engage with them, build trust, book appointments, schedule calls and even send them automated text reminders. E com Purchases: Directly on your website, you’ll be able to take payments. No more invoices sent from other platforms, everything buttoned up nice and clean. Unified messaging: From now on, whether a client emails, texts, calls etc, it all shows up in one place at your end. This might not seem like a big deal, but it’s a HUGE pain to have to follow customers about and keep track of conversations. Now you see all your communication with customers in a neat little area. Blogs: Blogs these days can really help your marketing efforts across the board, and of course your blogs will be a perfect fit in your simple fast funnel account. Analytics: Data tracking when you’re dealing with features on various platforms is a nightmare. If you capture a lead on a Word press landing page, send it an email software like Keep, mail chimp or whatever, send them to a new website to schedule calls and another to make purchases… How could you possibly expect to get good customer data? Hosting all of your “business” in one location makes tracking flawless. The more customers you have the more data you need to be efficient. Cheers to making it easy. All that software and that’s just the top 10, guys there’s more. Simplefastfunnels.com also lets you have a 2 week free trial. Don’t take anyone word for anything. Go try it for yourself.

If any of the news coverage had drawn blood, Meta wasn’t going to show it. Zuckerberg told the company’s People Planning team to bring him an aggressive hiring target for 2022. When they brought him an unprecedentedly ambitious plan to bring on 40,000 new staffers that year, Zuckerberg took the one-page document—known as “the napkin”—and then passed it back with a handwritten instruction to hire 8,000 more. “If we don’t hit these targets it’s game over,” Recruiting VP Miranda Kalinowski told the managers on her staff. To handle the deluge of hiring, Meta brought on an additional 1,000 recruiters between the last quarter of 2021 and the first quarter of the following year. Few of the new staffers would be slated to go into integrity work. Zuckerberg had declared that the company’s existing products were no longer its future, and Haugen’s document breach had solidified a sense that researchers and data scientists working on societal problems contained a potential corporate fifth column.

In 2018 a group of psychologists led by J. D. W. Clifton published the results of a five-year study, for which they analyzed enormous amounts of internet data looking for major trends in human attitudes. They found that our culture is divided between people who see the universe as dangerous, frightening, and meaningless, and those who see it as “safe, enticing, and alive.” The researchers called these two perspectives “primal world beliefs.” They described how, because perception is selectively screened and interpreted according to belief systems, people in either camp can find abundant evidence to support their worldviews.

IT Infrastructure IT infrastructure encompasses the hardware, software, networks, and services required to operate an organization's information technology environment, supporting its computing needs, data storage, networking, and other essential operations.

High Switching Costs Products that require a significant amount of work to migrate away are said to have high switching costs. High switching costs reduce your churn and create a moat that keeps customers from switching to a competitor simply because that competitor is newer, cheaper, or even builds a better product. Most APIs are difficult to leave because to do so requires expensive developer time to integrate with a new product. Companies like Stripe, Twilio, and SendGrid have a pretty hefty switching cost moat. Tools like Slack are difficult to switch from because of the need to obtain buy-in from every manager in an organization. Also, because of the high number of integrations pushing data, Slack requires effort to recreate. Tools with low switching costs are those in which history is mostly irrelevant, and the time it takes to recreate something you’ve built in the tool is low or nonexistent. For example, a social media scheduling tool is easy to switch from because there is no critical history stored or complex workflows that need to be recreated using a new tool. Likewise, one-click SaaS analytics tools that tie into your Stripe account are relatively easy to switch from because they are “one-click easy” to set up.

While Tyson did well for itself, it is less clear how well the company did by the communities that made it rich. Remarkably little research has been done to measure the economic impact of vertically integrated meat production on the nation’s economy. Instead, the massive firepower of public research dollars has been aimed at a different question: how to accelerate the industrialization of agriculture. At the University of Arkansas in Fayetteville, for example, researchers study, on the molecular level, how chickens can more efficiently convert feed into meat, helping companies like Tyson to further compress their cost margins. At Kansas State University, researchers are finding new ways to keep cattle from getting open sores on their feet during the months they stand in manure-covered feedlot pens. But an extensive analysis of publicly available data shows the impact of Tyson’s rise has been, at best, a mixed blessing for the communities where the company operates.

One way to make yourself less vulnerable to copycats is to build a moat around your business. How Can I Build a Moat? As you scale your company, you need to think about how to proactively defend against competition. The more success you have, the more your competitors will grab their battering ram and start storming the castle. In medieval times, you’d dig a moat to keep enemy armies from getting anywhere near your castle. In business, you think about your economic moat. The idea of an economic moat was popularized by the business magnate and investor Warren Buffett. It refers to a company’s distinct advantage over its competitors, which allows it to protect its market share and profitability. This is hugely important in a competitive space because it’s easy to become commoditized if you don’t have some type of differentiation. In SaaS, I’ve seen four types of moats. Integrations (Network Effect) Network effect is when the value of a product or service increases because of the number of users in the network. A network of one telephone isn’t useful. Add a second telephone, and you can call each other. But add a hundred telephones, and the network is suddenly quite valuable. Network effects are fantastic moats. Think about eBay or Craigs-list, which have huge amounts of sellers and buyers already on their platforms. It’s difficult to compete with them because everyone’s already there. In SaaS—particularly in bootstrapped SaaS companies—the network effect moat comes not from users, but integrations. Zapier is the prototypical example of this. It’s a juggernaut, and not only because it’s integrated with over 3,000 apps. It has widened its moat with nonpublic API integrations, meaning that if you want to compete with it, you have to go to that other company and get their internal development team to build an API for you. That’s a huge hill to climb if you want to launch a Zapier competitor. Every integration a customer activates in your product, especially if it puts more of their data into your database, is another reason for them not to switch to a competitor. A Strong Brand When we talk about your brand, we’re not talking about your color scheme or logo. Your brand is your reputation—it’s what people say about your company when you’re not around.

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1. Understanding Myanmar's Market Research: The Function of AMT Market Research In the rapidly changing economic landscape of Myanmar, businesses are increasingly recognizing the significance of making well-informed decisions based on complete market insights. One of the central members driving this development is AMT Statistical surveying, a main market research survey in Myanmar which has laid out its presence in Myanmar. With a populace of more than 54 million, Myanmar is a country wealthy in assets and potential. Be that as it may, its market is perplexing, impacted by a heap of elements like social variety, monetary vacillations, and administrative changes. Organizations need accurate data and insights to effectively navigate this complexity, and AMT Market Research meets this need. AMT Market Research has established itself as one of the best market research firms by employing cutting-edge techniques tailored to Myanmar's particular landscape. They use a combination of qualitative and quantitative research methods to get a complete picture of the market. From buyer conduct investigation to cutthroat scene appraisals, AMT gives priceless bits of knowledge that assist organizations with pursuing informed vital choices. market research survey in Myanmar is one of AMT's most distinctive methods. AMT enables businesses to comprehend preferences, purchasing habits, and emerging trends by directly engaging with customers and gathering firsthand feedback. Businesses can strategically tailor their offerings thanks to this grassroots approach, which not only reveals what consumers want but also identifies market gaps. AMT' market research survey in Myanmar, on top of that, are designed to be comprehensive yet effective. They use a combination of online surveys, focus groups, and in-person interviews to get responses from a wide range of people from different demographic groups. By collecting data in a variety of ways, businesses can reach a wider audience while also focusing on specific markets. It is essential to have an understanding of socioeconomic factors in a market that is still in its infancy. In their surveys, AMT Market Research emphasizes the significance of demographic insights. They assist businesses in developing targeted marketing strategies that resonate with their intended audience by taking into account variables such as education levels, income levels, and regional differences. This scientific thoroughness guarantees that suggestions are information driven as well as mirror the social and monetary real factors of the customers. Another thing that sets it apart is the company's dedication to conducting research in an ethical manner. AMT Market Research's core values of honesty, integrity, and dependability help to build trust with clients and respondents alike. Organizations can feel sure that the bits of knowledge gave are precise as well as gathered with deference for members' privileges and information security. The demand for high-quality market research will only grow as the economy of Myanmar continues to mature and the market attracts more attention from around the world. AMT Market Research positions itself as a crucial partner for businesses looking to enter or expand into the Myanmar market and is prepared to meet this demand. They are at the forefront of this ever-evolving sector because of their expertise and local knowledge. In conclusion, AMT Market Research provides essential tools and insights that can aid in strategic planning and execution for businesses trying to navigate the complexities of Myanmar's market. They play a crucial role in shaping the future of businesses in Myanmar through their commitment to ethical practices and comprehensive market research surveys. Associations looking for development ought to think about utilizing AMT's ability to open the potential inside this promising business sector.

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One of the goals of a Lean software development process should be the end-to-end integration of the value stream, from user research and strategic planning to data center operations and product support. Or as the Poppendiecks say, “from concept to cash.

INTEGRITY IS: Empirical knowledge is one of the critical ingredients of integrity, followed by truth, which is not necessarily moral, hence the evaluation of the truth. Empirical knowledge, coupled with the evaluation of truth for determination of its morality, equals factual righteousness and subsequently perpetuates integrity. Perceptions can at times influence our evaluation of truth, which may ultimately influence our identification of a subject’s morality. Our perception of what is truthful and righteous is not necessarily others interpretations. Assumption and credulity is the archenemy—the nemesis, if you will—of truth and ultimately of morality. We sometimes have an unwillingness or aversion toward researching a subject before formulating an opinion. But the more knowledge we learn about a subject, the more beneficial it will be. Understanding based on factual data will enable a more realistic and enhanced resolution of questions about a subject’s morality. Do some investigation of facts, situations, ideology, and belief systems for your empirical knowledge. As you do so, the truth shall be brought to the surface. As you analyze empirical knowledge, the truth and its morality will determine the factual righteousness of the subject, and ultimately, its integrity. Integrity Equation: Empirical knowledge + truth + morality = factual righteousness = INTEGRITY

By comparison, the Integrated Human model of human nature, in addition to the two elements of our previous model, includes: A conscious analytic system, known as the slow brain (where logic resides) A subconscious intuitive system, or fast brain The full range of motivational drives (of which the drive to acquire is only one) Basic ideas of moral behavior, or moral intuitions Distinguishing characteristics, or personality traits Together, these elements of our nature provide all of the fundamental functions necessary for living life as a complete, Integrated Human—and they are the springboard for the development of leadership character. As our research data has shown, the ability to leverage all of these areas influence leadership’s ability to achieve positive organizational outcomes.

According to the survey conducted by the Pew Research Center in 2012 (see the Introduction) Germany is today the only member of the EU in which most people, 59 per cent, think their country has been helped by European integration. Majorities or near majorities in most countries surveyed now believe that the economic integration of Europe has actually weakened their economies. This is the opinion in Greece (70 per cent), France (63 per cent), Britain (61 per cent), Italy (61 per cent), the Czech Republic (59 per cent), and Spain (50 per cent). The survey data also show that the crisis of the euro has triggered a full-blown crisis of public confidence: in the economy, in the future, in the benefits of European economic integration, in membership in the EU, in the euro and in the free-market system. Again, Europeans largely oppose further fiscal austerity to deal with the crisis; they are divided on bailing out indebted nations; and oppose Brussels’ oversight of national budgets. In short, the European project is a major casualty of the ongoing sovereign-debt crisis: we are witnessing the failure of the attempt to integrate Europe through a ‘positive’ law that has neither produced the promised benefits for the people, nor has it been enacted by the people itself.

Class Quality Abstract Data Types Have you thought of the classes in your program as abstract data types and evaluated their interfaces from that point of view? Abstraction Does the class have a central purpose? Is the class well named, and does its name describe its central purpose? Does the class's interface present a consistent abstraction? Does the class's interface make obvious how you should use the class? Is the class's interface abstract enough that you don't have to think about how its services are implemented? Can you treat the class as a black box? Are the class's services complete enough that other classes don't have to meddle with its internal data? Has unrelated information been moved out of the class? Have you thought about subdividing the class into component classes, and have you subdivided it as much as you can? Are you preserving the integrity of the class's interface as you modify the class? Encapsulation Does the class minimize accessibility to its members? Does the class avoid exposing member data? Does the class hide its implementation details from other classes as much as the programming language permits? Does the class avoid making assumptions about its users, including its derived classes? Is the class independent of other classes? Is it loosely coupled? Inheritance Is inheritance used only to model "is a" relationships—that is, do derived classes adhere to the Liskov Substitution Principle? Does the class documentation describe the inheritance strategy? Do derived classes avoid "overriding" non-overridable routines? Are common interfaces, data, and behavior as high as possible in the inheritance tree? Are inheritance trees fairly shallow? Are all data members in the base class private rather than protected? Other Implementation Issues Does the class contain about seven data members or fewer? Does the class minimize direct and indirect routine calls to other classes? Does the class collaborate with other classes only to the extent absolutely necessary? Is all member data initialized in the constructor? Is the class designed to be used as deep copies rather than shallow copies unless there's a measured reason to create shallow copies?

The integrity of any theory, Kuhn argued, lies in its falsifiability - that is, its openness to the possibility of repudiation in the light of more evidence, fresh insights or a more creative interpretation of data whose significance was not previously understood.

According to the data of the EU statistical office (Eurostat) pro capita GDP (measured in purchasing power parity, with EU 27=100) in 1999 was 113 for the euro zone, 121 in Germany, 162 in the US; in 2008 it was 109, 116 and 147, respectively; in 2009: 109, 116, 145; in 2010 the pro capita GDP was 148 in the US, 108 in the euro zone and 118 in Germany (Sarrazin 2012: 109, table 3.3). Thus pro capita GDP in the euro zone outside Germany has actually declined since the beginning of monetary union.

Staff will need to receive adequate training from IT staff on ways to effectively use databases. Beyond the ability to navigate a database system, staff will need additional skills such as developing queries or using spreadsheets to analyze and present data. In other words, rather than simply concentrating on the business functions that technology supports, student affairs staff should integrate assessment functions into their understanding of technology tools.

The term developed out of a recognition that you have to integrate development and operations tasks to develop software efficiently. The kind of workflow you want to enable is one in which you can develop an app, deploy it, learn from production usage of it, change it in response to what you learn, and repeat the cycle quickly and reliably.

Continuous integration (CI) means that whenever a developer checks in code to the source repository, a build is automatically triggered. Continuous delivery (CD) takes this one step further: after a build and automated unit tests are successful, you automatically deploy the application to an environment where you can do more in-depth testing.

Confidentiality - seeks to prevent the unauthorized disclosure of information: it keeps data secret • Integrity - seeks to prevent unauthorized modification of information. In other words, integrity seeks to prevent unauthorized write access to data. Integrity also seeks to ensure data that is written in an authorized manner is complete and accurate. • Availability - ensures that information is available when needed • Subject - An active entity on an information system • Object - A passive data file • Annualized Loss Expectancy—the cost of loss due to a risk over a year • Threat—a potentially negative occurrence • Vulnerability—a weakness in a system • Risk—a matched threat and vulnerability • Safeguard—a measure taken to reduce risk • Total Cost of Ownership—the cost of a safeguard • Return on Investment—money saved by deploying a safeguard

The problem is that most content marketing initiatives underperform because big creative ideas are rarely integrated with a data-driven, performance-based approach.