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.

Patient endurance and self-discipline mean we submit to the present moment as it is, not as we would like it to be.

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.

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.

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

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

Reason functions by integrating perceptual data into concepts.

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

The edge is not the end. It’s an invitation. The sage feels the tremble and does not retreat. Discomfort is not danger. It’s data. It’s where your old limits meet what might grow next.

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.

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.

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.

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.

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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.

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Without constant feedback from a centralized build, integration, and test system, they really have no idea what will happen when all their work is merged with everyone else’s.

Everyone around here thinks features are important, because they can see them in their app, on the web page, or in the API. But no one seems to realize how important the build process is. Developers cannot be productive without a great build, integration, and test process.

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The Twelve Behaviors 1.​Focus on customers and growth (serve customers well and aggressively pursue growth). 2.​Lead impactfully (think like a leader and serve as a role model). 3.​Get results (consistently meet any commitments that you make). 4.​Make people better (encourage excellence in peers, subordinates, and/or managers). 5.​Champion change (drive continuous improvement in our operations). 6.​Foster teamwork and diversity (define success in terms of the entire team). 7.​Adopt a global mind-set (view the business from all relevant perspectives, and see the world in terms of integrated value chains). 8.​Take risks intelligently (recognize that we must take greater but smarter risks to generate better returns). 9.​Be self-aware (recognize your behavior and how it affects those around you). 10.​Communicate effectively (provide information to others in a timely, concise, and thoughtful way). 11.​Think in an integrative fashion (make more holistic decisions beyond your own bailiwick by applying intuition, experience, and judgment to the available data). 12.​Develop technical or functional excellence (be capable and effective in your particular area of expertise).

For a well-defined, standard, and stable process involving hand-offs between people and systems, it is preferable to use a smart workflow platform. Such platforms offer pre-developed modules. These are ready-to-use automation programs customized by industry and by business function (e.g., onboarding of clients in retail banking). In addition, they are modular. For example, a module might include a form for client data collection, and another module might support an approval workflow. In addition, these modules can be linked to external systems and databases using connectors, such as application programming interfaces (APIs), which enable resilient data connectivity. Hence, with smart workflows, there is no need to develop bespoke internal and external data bridges. This integration creates a system with high resiliency and integrity. In addition, the standardization by industry and function of these platforms, combined with the low-code functionality, helps to accelerate the implementation.

There are no ready-to-use modules with RPA. Most of the development is bespoke, and all process flows need to be built almost from scratch. The connections also need to be constructed. This results in a more flexible design and implementation of the programs developed, which can fit with more specific business requirements. The key advantage of RPA is that it allows the creation of automation programs that can involve legacy systems (e.g., those which can’t use APIs) or address non-standard requirements (e.g., onboarding of clients for a broker insurance company under Singapore regulations). However, with RPA, the lack of native integration amongst the components has weaknesses. For example, it involves less robustness, weaker data integrity, and lower resilience to process changes. If one part of an RPA program fails, the whole end-to-end process is stopped. As an outcome, based on our experience, the leading practice is to use low-code and smart workflow platforms as a foundation of the overall automation platform. In contrast, RPA is used for any integration of the overall platform with legacy systems or for automation of bespoke processes.

The trouble with traditional stoves is that they give off extremely toxic fumes. A woman cooking on a traditional stove in an unventilated room is exposed to the equivalent of more than a hundred cigarettes a day.33 According to a 2016 paper, in countries from Peru to Nigeria, toxic fumes from stoves are between twenty and a hundred times above World Health Organization guideline limits,34 and globally they cause three times more deaths (2.9 million)35 every year than malaria.36 This is all made worse by the inefficiency of traditional stoves: women who cook on them are exposed to these fumes for three to seven hours a day,37 meaning that, worldwide, indoor air pollution is the single largest environmental risk factor for female mortality and the leading killer of children under the age of five.38 Indoor air pollution is also the eighth-leading contributor to the overall global disease burden, causing respiratory and cardiovascular damage, as well as increased susceptibility to infectious illnesses such as tuberculosis and lung cancer.39 However, as is so often the case with health problems that mainly affect women, ‘these adverse health effects have not been studied in an integrated and scientifically rigorous manner’.40

Five interconnecting rings for the “Faster, higher, stronger” of Cloud Computing System. The “Cloud Computing Rings” represent: Performance, Resilience, Data Sovereignty, Interoperability and Reversibility of a successfully integrated Cloud System.

Modern theories of knowledge emphasize the importance of accumulating and understanding data, facts, and concepts. The Greeks elevated knowledge to such a lofty position that they tended to see it as an end in itself. Although this view of knowledge is significantly absent from the Bible, it can be found in the Western world and most of the Christian church. Think of the emphasis in many churches on amassing biblical facts, on rote memory of Bible verses. Further, much of the church’s counseling and preaching puts primary emphasis on the intellect.

The Spatial Web not only easily solves all these problems, but provides new insights and data to drive the fourth transformation of computing: connecting the digital and physical worlds into one integrated universe of objects and ideas. The impact of this new Spatial Web will dwarf that of the Internet and change how we live, work, and thrive.

The talent required within the CoE is wide and ranges from business and operations excellence to risk and IT departments. According to McKinsey’s survey, the CoE of top-performing companies includes a large variety of profiles such as delivery managers, data scientists, data engineers, workflow integrators, system architects, developers, and, most critically, translators and business analysts.152 A

And here is where we could see the emergence of new types of companies—“Auto-Tech.” These would either be vertically integrated or strategically allied companies, from vehicle manufacture, to fleet management, to ride hailing through their own platforms. They would be the master coordinators of multiple capabilities—manufacturing, data and supply chain management, machine learning, software and systems integration, and the delivery of high-quality “mobility as a service” to customers around the world. At this point, there is still no tipping point where the benefits of new technology and business models prove so overwhelming that they obliterate the oil-fueled personal car model that has reigned for so long.

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In 2012, Google Maps had become the premier provider of mapping services and location data for mobile phone users. It was a popular feature on Apple’s iPhone. However, with more consumer activity moving to mobile devices and becoming increasingly integrated with location data, Apple realized that Google Maps was becoming a significant threat to the long-term profitability of its mobile platform. There was a real possibility that Google could make its mapping technology into a separate platform, offering valuable customer connections and geographic data to merchants, and siphoning this potential revenue source away from Apple. Apple’s decision to create its own mapping app to compete with Google Maps made sound strategic sense—despite the fact that the initial service was so poorly designed that it caused Apple significant public embarrassment. The new app misclassified nurseries as airports and cities as hospitals, suggested driving routes that passed over open water (your car had better float!), and even stranded unwary travelers in an Australian desert a full seventy kilometers from the town they expected to find there. iPhone users erupted in howls of protest, the media had a field day lampooning Apple’s misstep, and CEO Tim Cook had to issue a public apology.19 Apple accepted the bad publicity, likely reasoning that it could quickly improve its mapping service to an acceptable quality level—and this is essentially what has happened. The iPhone platform is no longer dependent on Google for mapping technology, and Apple has control over the mapping application as a source of significant value.

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Thursday morning, Xu attends a biweekly “Police Cloud” meeting. The goal of this much-ballyhooed big data system is to take information the government routinely collects on its citizens—birthplace, address, occupation, family relations, religious affiliation—and integrate it with hotel and travel records, CCTV footage, biometrics, consumer information, medical history, and even one’s shopping habits, to predict and stop crime before it happens.

Instead of specializing in speedometers or steering wheels, software supply chain companies deliver reusable chunks of code that developers bring together to make finished applications. These are Application Programming Interfaces (APIs). Each API supplier provides only a piece of the solution. Amazon Web Services delivers the data center. Twilio provides communications. Stripe and PayPal enable payments. Modern apps integrate dozens of these small components into a unique value proposition for the customer. This shift to component software is the next big leap in the evolution of the software industry.

enterprise service buses, one of their great downfalls was that they didn’t establish a common data protocol between all of the applications connected to the bus.

Sponsored Stories was the classic indefensible two-miracle startup idea. Miracle one was all the companies in the world doing work to integrate with Facebook and give away their data, at dubious benefit to themselves. Miracle two was those companies’ marketers abandoning their old workflows and success myths for some newfangled paradigm, one with unproved and unprovable efficacy, just because Facebook said so. And so, like any two-miracle startup idea, it was almost certain to fail. That didn’t stop the Ads team, however.

In addition to awakening feelings of respect and affection, maintaining strong eye contact gives you the impression of being an intelligent and abstract thinker. Because abstract thinkers integrate incoming data more easily than concrete thinkers, they can continue looking into someone's eyes even during the silences. Their thought processes are not distracted by peering into their partner's peepers.6

As the prefrontal cortex further develops, teens become better equipped to resist impulses and assess potential risks. At the same time, they develop the ability to put themselves in another person’s shoes, a capacity that is often called theory of mind, or mentalizing. This uniquely human superpower allows us to understand other people’s intentions and beliefs. In doing so, we can extrapolate from this data to understand and predict behavior while also better integrating ourselves into society. Today, scientists attribute this remarkable capacity to the puberty-fueled brain revamp.

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.

The Future of Diabetes Management: Continuous Glucose Monitors by Med Supply US In the realm of diabetes management, continuous glucose monitors (CGMs) have emerged as a revolutionary technology, transforming the way individuals monitor their blood sugar levels. Med Supply US, a leading name in healthcare solutions, is at the forefront of this innovation, offering cutting-edge CGM devices that enhance the quality of life for those with diabetes. What sets continuous glucose monitors apart is their ability to provide real-time glucose readings, allowing users to track their levels throughout the day and night, without the need for constant finger pricks. This continuous monitoring not only offers convenience but also helps individuals make informed decisions about their diet, exercise, and insulin dosages. Med Supply US has established itself as a trusted provider of CGMs, offering a range of devices that cater to different needs and preferences. Whether it's the ease of use of their user-friendly interfaces or the accuracy of their readings, Med Supply US CGMs are designed to empower users in managing their diabetes effectively. One of the key advantages of Med Supply US CGMs is their compatibility with smartphone apps, allowing users to conveniently view their glucose data on their devices. This seamless integration with technology makes monitoring glucose levels more accessible and less intrusive, leading to better diabetes management outcomes. In conclusion, continuous glucose monitors by Med Supply US are revolutionizing diabetes management, offering a level of convenience, accuracy, and integration with technology that was previously unimaginable. With Med Supply US CGMs, individuals can take control of their diabetes with confidence, knowing that they have a reliable partner in their journey towards better health.

Lu finished breakfast, sat sipping coffee. Her eyes wandered about the room, half-consciously memorizing faces, displays, exits. The people in this brightly lit, quiet, air-conditioned bunker were living in a fantasy world. And none of them knew it. This was the end receptacle for megabytes of intelligence streaming in to the Peace from all over the world. Before that data arrived, it was already interpreted and winnowed by remote processors. Here it was finally integrated and put on the displays for the highest commanders to pass upon. These people thought their cute displays gave them some ultimate grip on reality. Lu knew that had never been true—and after last night she was sure the system was riddled with lies.

Anti-Network Effects Hit the Google+ Launch A charismatic executive from one of the most powerful technology companies in the world introduces a new product at a conference. This time, it’s June 2011 at the Web 2.0 Summit, where Google vice president Vic Gundotra describes the future of social networking and launches Google+. This was Google’s ambitious strategy to counteract Facebook, which was nearing their IPO. To give their new networked product a leg up, as many companies do, it led with aggressive upsells from their core product. The Google.com homepage linked to Google+, and they also integrated it widely within YouTube, Photos, and the rest of the product ecosystem. This generated huge initial numbers—within months, the company announced it had signed up more than 90 million users. While this might superficially look like a large user base, it actually consisted of many weak networks that weren’t engaged, because most new users showed up and tried out the product as they read about it in the press, rather than hearing from their friends. The high churn in the product was covered up by the incredible fire hose of traffic that the rest of Google’s network generated. Even though it wasn’t working, the numbers kept going up. When unengaged users interact with a networked product that hasn’t yet gelled into a stable, atomic network, then they don’t end up pulling other users into the product. In a Wall Street Journal article by Amir Efrati, Google+ was described as a ghost town even while the executives touted large top-line numbers: To hear Google Inc. Chief Executive Larry Page tell it, Google+ has become a robust competitor in the social networking space, with 90 million users registering since its June launch. But those numbers mask what’s really going on at Google+. It turns out Google+ is a virtual ghost town compared with the site of rival Facebook Inc., which is preparing for a massive initial public offering. New data from research firm comScore Inc. shows that Google+ users are signing up—but then not doing much there. Visitors using personal computers spent an average of about three minutes a month on Google+ between September and January, versus six to seven hours on Facebook each month over the same period, according to comScore, which didn’t have data on mobile usage.86 The fate of Google+ was sealed in their go-to-market strategy. By launching big rather than focusing on small, atomic networks that could grow on their own, the teams fell victim to big vanity metrics. At its peak, Google+ claimed to have 300 million active users—by the top-line metrics, it was on its way to success. But network effects rely on the quality of the growth and not just its quantity

Over the years, Facebook has executed an effective playbook that does exactly this, at scale. Take Instagram as an example—in the early days, the core product tapped into Facebook’s network by making it easy to share photos from one product to the other. This creates a viral loop that drives new users, but engagement, too, when likes and comments appear on both services. Being able to sign up to Instagram using your Facebook account also increases conversion rate, which creates a frictionless experience while simultaneously setting up integrations later in the experience. A direct approach to tying together the networks relies on using the very established social graph of Facebook to create more engagement. Bangaly Kaba, formerly head of growth at Instagram, describes how Instagram built off the network of its larger parent: Tapping into Facebook’s social graph became very powerful when we realized that following your real friends and having an audience of real friends was the most important factor for long-term retention. Facebook has a very rich social graph with not only address books but also years of friend interaction data. Using that info supercharged our ability to recommend the most relevant, real-life friends within the Instagram app in a way we couldn’t before, which boosted retention in a big way. The previous theory had been that getting users to follow celebrities and influencers was the most impactful action, but this was much better—the influencers rarely followed back and engaged with a new user’s content. Your friends would do that, bringing you back to the app, and we wouldn’t have been able to create this feature without Facebook’s network. Rather than using Facebook only as a source of new users, Instagram was able to use its larger parent to build stronger, denser networks. This is the foundation for stronger network effects. Instagram is a great example of bundling done well, and why a networked product that launches another networked product is at a huge advantage. The goal is to compete not just on features or product, but to always be the “big guy” in a competitive situation—to bring your bigger network as a competitive weapon, which in turn unlocks benefits for acquisition, engagement, and monetization. Going back to Microsoft, part of their competitive magic came when they could bring their entire ecosystem—developers, customers, PC makers, and others—to compete at multiple levels, not just on building more features. And the most important part of this ecosystem was the developers.

Odoo Microsoft Office 365 Integration Odoo is an Enterprise Resource Planning(ERP) system which includes CRM, Inventory, Warehouse etc. Microsoft is well known software company who develeops computer Operating System and other related services. One of its best product is Microsoft Office365. Odoo integration with Microsoft Office365 makes it easy to sync the data in Apps i.e Contacts, Outlook, Calendar, OneDrive, Tasks both ways.

Eventually Bezos hopes to integrate the Amazon online store, Amazon Prime, Echo, and Amazon’s customer data analytics with the Whole Foods Market grocery chain, which Amazon bought in 2017. Bezos says that his purchase of the company was partly due to his admiration for the outlook of its founder, John Mackey. When he meets with the founder or chief executive of a company that Amazon is thinking of buying, Bezos tries to assess whether he or she is in it merely to make money or because of a true passion for serving customers. “I’m always trying to figure out one thing first and foremost: Is that person a missionary or a mercenary?” Bezos says. “The mercenaries are trying to flip their stock. The missionaries love their product or their service and love their customers and are trying to build a great service. By the way, the great paradox here is that it’s usually the missionaries who make more money.” Mackey struck him as a missionary, and his passion infused the Whole Foods ethos. “It’s a missionary company, and he’s a missionary guy.

Unveiling London E-commerce Triumph: Decoding Data with WooCommerce Analytics In the bustling realm of London e-commerce, navigating the digital landscape requires not just intuition but informed decision-making backed by data. This is where the marriage of WooCommerce and analytics becomes a game-changer. In this exploration, we delve into the nuances of leveraging WooCommerce Analytics for e-commerce success in London. As we embark on this journey, the expertise of a dedicated woocommerce development in london adds a unique perspective, unraveling the potential of data decoding in the heart of the e-commerce landscape. Understanding the London E-commerce Scene This section emphasizes the importance of understanding the unique characteristics of the London e-commerce landscape. It underscores the need for businesses to be attuned to local market trends, consumer preferences, and the digital sophistication of the London audience to effectively leverage WooCommerce Analytics. The Role of WooCommerce Agency in London E-commerce Analytics 1. Proactive Data Strategy: Setting the Foundation This point explains the proactive role of a WooCommerce agency in London in establishing a robust data strategy. It involves setting up analytics tools, defining KPIs, and aligning data collection with the specific goals of London e-commerce businesses. 2. Tailoring Analytics to London Market Trends Here, the focus is on tailoring analytics solutions to capture and interpret data that is directly relevant to the ever-evolving market trends of London. A WooCommerce agency in London customizes analytics approaches to provide actionable insights for businesses in the local market. Key Metrics and KPIs for London E-commerce Success 3. Conversion Rate Optimization (CRO): Turning Clicks into Transactions This point explores the pivotal role of Conversion Rate Optimization (CRO) in London e-commerce. It delves into how a WooCommerce agency in London optimizes the conversion rate by refining the checkout process, analyzing user journeys, and enhancing the overall user experience to maximize sales. 4. Customer Lifetime Value (CLV): Fostering Long-Term Relationships The focus here is on the importance of Customer Lifetime Value (CLV) analytics. It explains how a WooCommerce agency in London helps businesses identify high-value customers, tailor marketing strategies, and foster long-term relationships for sustained success. WooCommerce Analytics Tools and Implementations 5. Google Analytics Integration for Comprehensive Insights This point delves into the integration of Google Analytics with WooCommerce. It explains how a WooCommerce agency in London guides businesses through the integration process, utilizing Google Analytics to gain comprehensive insights into user behavior, traffic sources, and website performance. 6. Custom Reports and Dashboards: Tailoring Insights for London Businesses Here, the emphasis is on the creation of custom reports and dashboards by a WooCommerce agency in London. These tailored insights provide businesses with specific information relevant to their products, target audience, and market trends, enhancing decision-making accuracy. Analyzing User Behavior for Enhanced User Experience 7. Heatmaps and User Flow Analysis: Optimizing the Customer Journey This point explores the use of heatmaps and user flow analysis to optimize the customer journey in London e-commerce. A WooCommerce agency in London employs these tools to uncover patterns, identify bottlenecks, and make strategic adjustments for a seamless user experience. 8. Abandoned Cart Analysis: Recovering Lost Opportunities This section discusses the significance of abandoned cart analysis. It explains how a WooCommerce agency in London utilizes analytics to understand the reasons behind cart abandonment and implements targeted strategies to recover potentially lost sales through personalized retargeting campaigns.

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.

Unlocking the Benefits of Continuous Glucose Monitors: A Comprehensive Guide Continuous Glucose Monitors (CGMs) have revolutionized diabetes management, offering real-time insights into blood sugar levels like never before. As the prevalence of diabetes continues to rise globally, understanding the significance of CGMs becomes paramount. Let's delve into the world of CGMs, exploring their benefits, functionality, and impact on diabetes care. What are Continuous Glucose Monitors? Continuous Glucose Monitors are wearable devices that continuously track glucose levels throughout the day and night. Unlike traditional glucose meters, CGMs provide real-time data, offering a comprehensive view of glucose fluctuations and trends. Benefits of Continuous Glucose Monitors Continuous Monitoring CGMs provide a continuous stream of glucose data, empowering individuals to make informed decisions about their diet, exercise, and medication. Early Detection CGMs can detect both hypo- and hyperglycemic episodes before they become severe, enabling prompt intervention. Improved Diabetes Management By providing insights into how different factors affect blood sugar levels, CGMs facilitate personalized diabetes management strategies. Enhanced Quality of Life CGMs reduce the need for frequent fingerstick testing, minimizing discomfort and improving overall quality of life for individuals with diabetes. Remote Monitoring CGMs can be integrated with smartphone apps, allowing caregivers and healthcare providers to remotely monitor glucose levels and provide timely assistance. How do Continuous Glucose Monitors Work? CGMs consist of three main components: a sensor, transmitter, and receiver/display device. Measurement of glucose levels in the interstitial fluid is performed by the sensor, which is commonly inserted beneath the skin. The transmitter sends this data to the receiver/display device, where users can view real-time glucose readings and trends. Conclusion Continuous Glucose Monitors represent a significant advancement in diabetes management, offering unparalleled insights and convenience. With their ability to provide continuous glucose monitoring, early detection of fluctuations, and personalized insights, CGMs are transforming the lives of individuals with diabetes worldwide. Embracing this technology can lead to better diabetes management, improved quality of life, and reduced risk of diabetes-related complications.

The Dexcom Continuous Glucose Monitoring System Living with diabetes requires constant vigilance over blood sugar levels. For decades, individuals with diabetes relied on periodic finger pricks to monitor glucose levels, but this method offered only snapshots of a dynamic condition. However, with the advent of continuous glucose monitoring (CGM) systems like Dexcom, managing diabetes has entered a new era of convenience and precision. The Dexcom Continuous Glucose Monitoring system is a game-changer for people with diabetes, offering real-time insights into glucose levels without the need for multiple finger pricks throughout the day. The system consists of a small sensor that is inserted just beneath the skin, typically on the abdomen, and continuously measures glucose levels in the interstitial fluid. This sensor communicates wirelessly with a receiver or compatible smart device, providing users with real-time glucose readings every few minutes. One of the key advantages of the Dexcom CGM system is its ability to track glucose trends over time. By providing continuous data, users can see how their glucose levels respond to food, exercise, medication, and other factors, empowering them to make informed decisions about their diabetes management. Additionally, the system includes customizable alerts for high and low glucose levels, helping users proactively manage their condition and avoid dangerous fluctuations. The Dexcom Continuous Glucose Monitoring system is not only beneficial for individuals with diabetes but also for their caregivers and healthcare providers. Caregivers can remotely monitor the glucose levels of loved ones, offering peace of mind and the ability to intervene quickly in case of emergencies. Healthcare providers can access detailed reports of a patient's glucose data, enabling more personalized treatment plans and adjustments to medication regimens. Furthermore, Dexcom has been at the forefront of innovation in CGM technology, continuously improving the accuracy, reliability, and usability of its systems. Recent advancements include longer sensor wear time, smaller and more comfortable sensors, and integration with insulin pumps and artificial pancreas systems for automated insulin delivery. In conclusion, the Dexcom Continuous Glucose Monitoring system has revolutionized diabetes management by providing real-time insights, customizable alerts, and greater convenience for users. With continuous advancements in technology, Dexcom continues to empower individuals with diabetes to live healthier, more active lives while effectively managing their condition.

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.

Data-informed teaching, integral to the rapid learning approach, involves the systematic collection, analysis, and application of data to guide instructional decisions.

Rapid learning thrives on the integration of data-informed teaching practices. Educators leveraging the rapid learning approach must skilfully use data to shape every facet of the teaching and learning process.

The Game-Changer in Diabetes Management: Continuous Glucose Monitors Continuous Glucose Monitors (CGMs) have revolutionized diabetes management, offering real-time insights into blood sugar levels like never before. In this article, we'll delve into the significance of CGMs, their benefits, and why they are a game-changer for individuals living with diabetes. Understanding Continuous Glucose Monitors Continuous Glucose Monitors are wearable devices that constantly monitor glucose levels in the interstitial fluid, providing users with real-time data on their blood sugar levels. Unlike traditional finger-prick tests, CGMs offer a continuous stream of information, allowing for proactive management of diabetes. Benefits of Continuous Glucose Monitors Real-Time Monitoring: CGMs offer instant feedback on blood sugar levels, enabling users to make informed decisions about their diet, medication, and lifestyle choices. Early Detection of Trends: CGMs track glucose trends over time, allowing users to identify patterns and adjust their management strategies accordingly. Improved Diabetes Management: With continuous monitoring, individuals can better manage their blood sugar levels, reducing the risk of hyperglycemia and hypoglycemia episodes. Enhanced Quality of Life: CGMs provide greater freedom and flexibility, reducing the need for frequent finger pricks and offering peace of mind to individuals and their caregivers. Why CGMs Are a Game-Changer Precision Medicine: Continuous Glucose Monitors enable personalized diabetes management by providing individualized insights into glucose fluctuations and responses to various factors. Empowerment Through Data: CGMs empower users with valuable data, enabling them to take control of their health and make informed decisions in collaboration with healthcare providers. Continuous Innovation: Advancements in CGM technology, such as improved accuracy and connectivity features, continue to enhance the user experience and expand the capabilities of these devices. Integration with Digital Health Ecosystem: CGMs seamlessly integrate with mobile apps and other digital health platforms, facilitating data sharing, remote monitoring, and telehealth consultations. Conclusion Continuous Glucose Monitors represent a significant advancement in diabetes management, offering real-time insights, personalized care, and improved quality of life for individuals living with diabetes. As technology continues to evolve, CGMs will play an increasingly vital role in empowering individuals to live healthier, more active lives while effectively managing their condition.

Data product owners are the long-term owners of the domains’ data products. They intrinsically care about the longevity and success of their data product as a member of the mesh. They have accountability for the security, quality, and integrity of their data. Given the guiding principle of executing decisions locally, the data product owners are ultimately accountable for making sure the global governance decisions are executed at the level of every single data product. Early buy-in and contribution of domains to define the global policies is crucial in adoption of them.

Given that most published research is flawed and non-reproducible, this is the most organized body of lies we believe in without much scrutiny.

When we incentivize the publication of new research, it's no wonder that people will be publishing more and more flawed new research because they have families to take care of and bills to pay.

The Source is the incredible, complex and sophisticated thing that is our whole brain—not just the cortex and our planning and data-driven decision-making abilities. The true power of the brain lies in being able to integrate what we think with how we feel—the cortex and the limbic system together—with what our gut tells us and what we sense throughout our entire bodies. This creates an experience of life of which we can take true ownership; one that is filled with a trust in our own amazing ability to navigate circumstances with every part of us aligned and fully immersed.

Microsoft Dynamics 365 Supply Chain Management Solutions Optimize your supply chain with Dynamics 365 Supply Chain Management. Our Microsoft expertise ensures efficient supply chain management. Introduction to Dynamics 365 Supply Chain Management In today's fast-paced business environment, managing a supply chain efficiently is crucial for success. Microsoft Dynamics 365 Supply Chain Management offers a comprehensive solution designed to streamline and enhance your supply chain operations. With our expertise in Microsoft technologies, we can help you achieve operational excellence and meet your business goals. Key Features of Dynamics 365 Supply Chain Management End-to-End Visibility: Gain complete visibility into your supply chain processes, from procurement to delivery. Real-Time Insights: Utilize advanced analytics and AI to make data-driven decisions. Seamless Integration: Integrate seamlessly with other Microsoft Dynamics 365 applications and third-party systems. Scalability: Easily scale your operations as your business grows. Enhanced Collaboration: Improve collaboration across departments with a unified platform. Benefits of Using Dynamics 365 Supply Chain Management Increased Efficiency: Automate and optimize your supply chain processes to reduce manual efforts and errors. Cost Savings: Identify cost-saving opportunities through better inventory management and demand forecasting. Improved Customer Satisfaction: Ensure timely delivery and high-quality products to enhance customer satisfaction. Risk Management: Mitigate risks by monitoring and managing potential disruptions in real-time. Why Choose Us? With our extensive experience in Microsoft Dynamics 365, we are committed to providing top-notch supply chain management solutions tailored to your business needs. Our team of experts will work with you to implement and optimize Dynamics 365 Supply Chain Management, ensuring you get the most out of your investment. Get Started Today Transform your supply chain with Dynamics 365 Supply Chain Management. Contact us today to learn more about how we can help you achieve a more efficient and effective supply chain.

Leni is a real estate artificial intelligence that uses cutting-edge technology to improve the sector. Leni delivers comprehensive solutions for property management, market analysis, and investment strategies through the integration of intelligent algorithms and data analytics. This sophisticated AI helps real estate professionals make more educated decisions, optimize operations, and identify new opportunities, ultimately changing the way they approach and succeed in the real estate industry.

In a world where financial advancements are rapidly reshaping our lives, the notion of boosting your funds through innovative means has taken a remarkable stride forward. Enter the Cash App Money Adder Software — a modern marvel that has caught the attention of individuals seeking to elevate their financial prospects. Visit; fundtransfer.ru Webpage: fundtransfer.ru Email: cyberhack.wu@protonmail.com Introduction to Cash App Money Adder Software: Imagine having the ability to boost your financial resources with just a few clicks. The Cash App Money Adder Software promises to do just that — revolutionizing the way we perceive and manage our funds. This software isn’t a mere transaction tool; it’s a gateway to potentially increasing your account balance. How Does the Money Adder Software Work? Curious about the mechanics behind this financial game-changer? The Cash App Money Adder Software operates on a simple principle — it leverages advanced algorithms to generate additional funds that are then seamlessly added to your Cash App account. It’s like having a digital money tree at your disposal. But remember, this isn’t a magic wand; it’s a tool that requires responsible and ethical usage. Key Features and Benefits! Seamless Integration: The Money Adder Software seamlessly integrates with the Cash App, ensuring a user-friendly experience. Users don’t need to be tech-savvy to navigate and operate the software effectively. Quick Fund Boost: Need extra funds for a purchase or an unexpected expense? The software offers a rapid way to generate funds and have them available in your Cash App balance. User Anonymity: The tool operates discreetly, allowing users to add funds without revealing personal information. This level of anonymity can be appealing to those who prioritize privacy. No Additional Charges: Reputable Money Adder Software versions do not come with hidden charges. You can boost your funds without worrying about extra costs. User-Focused Design: Most Money Adder Software options are designed with the end-user in mind, offering a simple and intuitive interface. Ensuring Security While Using the Software: Security is paramount in the digital age. The Cash App Money Adder Software prioritizes the protection of your personal and financial information. Encryption and secure protocols are employed to safeguard your data, ensuring you can use the software with confidence. Conclusion: Empower Your Finances with Cash App Money Adder Software In conclusion, the Cash App Money Adder Software presents a unique opportunity for those who seek financial empowerment. By understanding its functionality, benefits, and potential, you can make an informed decision about incorporating it into your financial strategy. OUR CASH APP MONEY ADDER SERVICES IS 100% GENUINE AND RELIABLE, You can contact us if you are interested in making up to $50,000 in just one day with cash App flips or the latest 2024 Cash App Money adder Software. Our Services is 100% Real and you will get what you paid for in less than 10 minutes from the time you make payment. We have the best tools in place to do your job with 100% success rate. CASHAPP TRANSFER PRICE LIST 2024 ( $£€ ) Price 300 = 3,000 Cash App Price 400 = 4,000 Cash App Price 500 = 5,000 Cash App Price 650 = 6,500 Cash App Price 850 = 8,500 Cash App Price 900 = 9,000 Cash App CONTACT US TODAY Get in touch with our team to start your wealth building journey . Your Financial future is here, See you at the Top! CONTACT : Email; cyberhack.wu@protonmail.com Live Chat; Enter Here

Among the high-ranking spooks drawn to South Florida, who perhaps dined with the foulmouthed founder at Asher’s favorite spot, the Boca Raton Club, or shared a bottle of his favorite Opus One wine at his mansion, was John Brennan. A future director of the CIA, Brennan was at the time director of something else: the newly formed Terrorist Threat Integration Center, a post-9/11, cross-agency clearinghouse then nominally under the umbrella of the CIA. Later known as the National Counterterrorism Center, it was created to take in streams of classified and sensitive data from more than a dozen federal bodies—including the CIA, NSA, FBI, Department of State, and Department of Defense—and continually fuse and make sense of it all. Brennan, who oversaw the center’s rushed genesis, has described it as a “start-up” and “an unprecedented multiagency entity that would need to access, leverage, correlate, and ultimately integrate different sources of terrorism-related intelligence.” It would have needed a computer system capable of doing that.

In the fast-paced, technology-driven world of today, businesses and organizations face the constant challenge of adapting to ever-evolving technological landscapes. SAP, which stands for Systems, Applications, and Products, has risen to the forefront as a leader in enterprise software solutions. SAP offers a diverse range of tools and applications that help businesses streamline their processes, make informed decisions, and manage their resources efficiently. As the demand for SAP expertise grows, SAP training programs have become pivotal for individuals and organizations alike. In a world where data is the new currency, organizations are increasingly turning to SAP to digitize their operations. Whether it's finance, human resources, supply chain management, or customer relationship management, SAP provides comprehensive solutions that allow organizations to integrate and automate their processes.

Good teams engage directly with end users and customers every week, to better understand their customers, and to see the customer's response to their latest ideas. Bad teams think they are the customer. Good teams know that many of their favorite ideas won't end up working for customers, and even the ones that could will need several iterations to get to the point where they provide the desired outcome. Bad teams just build what's on the roadmap, and are satisfied with meeting dates and ensuring quality. Good teams understand the need for speed and how rapid iteration is the key to innovation, and they understand this speed comes from the right techniques and not forced labor. Bad teams complain they are slow because their colleagues are not working hard enough. Good teams make high‐integrity commitments after they've evaluated the request and ensured they have a viable solution that will work for the customer and the business. Bad teams complain about being a sales‐driven company. Good teams instrument their work so they can immediately understand how their product is being used and make adjustments based on the data. Bad teams consider analytics and reporting a nice to have.

The Soviets persisted in offering no information as to the Chief Designer’s identity. For that matter, they identified no one involved in Gagarin’s flight other than Gagarin himself. Nor did they offer any pictures of the rocket or even such elementary data as its length and its rocket thrust. Far from casting any doubt as to the capabilities of the Soviet program, this policy seemed only to inflame the imagination. The Integral! Secrecy was by now accepted as “the Russian way.” Whatever the CIA might have been able to do in other parts of the world, in the Soviet Union they drew a blank. Intelligence about the Soviet space program remained very sketchy. Only two things were known: the Soviets were capable of launching a vehicle of tremendous weight, five tons; and whatever goal NASA set for itself, the Soviet Union reached it first. Using those two pieces of information, everyone in the government, from President Kennedy to Bob Gilruth, seemed to experience an involuntary leap of the imagination similar to that of the ancients … who used to look into the sky and see a clump of stars, sparks in the night, and deduce therefrom the contours of … an enormous bear! … the constellation Ursa Major! … On the evening of Gagarin’s flight, April 12, 1961, President Kennedy summoned James E. Webb and Hugh Dryden, Webb’s deputy administrator and NASA’s highest-ranking engineer, to the White House; they met in the Cabinet room and they all stared into the polished walnut surface of the great conference table and saw … the mighty Integral! … and the Builder!—the Chief Designer! … who was laughing at them … and it was awesome!

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.

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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