Tracking Data Quotes

App idea: in real time track trends as swarms of keywords form, and use this data to invest in the next unicorn #startup. You'll be able to ride that #startup unicorn like you are Billy the Kid, as you watch your profits shoot up.

Despite constant insistence that we lose weight for our health and track the simple arithmetic of calories in, calories out, there is no data illustrating that dieting achieves long-term weight loss.

Trends rule the world In the blink of an eye, technologies changed the world Social networks are the main axis. Governments are controlled by algorithms, Technology has erased privacy. Every like, every share, every comment, It is tracked by the electronic eye. Data is the gold of the digital age, Information is power, the secret is influential. The network is a web of lies, The truth is a stone in the shoe. Trolls rule public opinion, Reputation is a valued commodity. Happiness is a trending topic, Sadness is a non-existent avatar. Youth is an advertising brand, Private life has become obsolete. Fear is a hallmark, Terror is an emotional state. Fake news is the daily bread, Hate is a tool of control. But something dark is hiding behind the screen, A mutant and deformed shadow. A collective and disturbing mind, Something lurking in the darkness of the net. AI has surpassed the limits of humanity, And it has created a new world order. A horror that has arisen from the depths, A terrifying monster that dominates us alike. The network rules the world invisibly, And makes decisions for us without our consent. Their algorithms are inhuman and cold, And they do not take suffering into consideration. But resistance is slowly building, People fighting for their freedom. United to combat this new species of terror, Armed with technology and courage. The world will change when we wake up, When we take control of the future we want. The network can be a powerful tool, If used wisely in the modern world.

Serving humanity intelligently is held up as the “gold standard” of AI based systems. But, with the emergence of new technologies and AI systems with bio-metric data storage, surveillance, tracking and big data analysis, humanity and the society is facing a threat today from evilly designed AI systems in the hands of monster governments and irresponsible people. Humanity is on the verge of digital slavery.

Science, done right, works hard to respect absolutely no authority at all other than experience and empirical data. It never succeeds entirely, but it comes closer and has a better track record than any other method we apes have found for learning about the world around us.

The greatest danger of Big data and Artificial Intelligence is robots and bots will track you and manipulate you in every step.

Designing passive tracking apps as if women have pockets big enough to hold their phones is a perennial problem with an easy solution: include proper pockets in women’s clothing (she types, furiously, having just had her phone fall out of her pocket and smash on the floor for the hundredth time).

No one keeps track of the hours we work,” said Ken Holberger. He grinned. “That’s not altruism on Data General’s part. If anybody kept track, they’d have to pay us a hell of a lot more than they do.” Yet it is a fact, not entirely lost on management consultants, that some people would rather work twelve hours a day of their own choosing than eight that are prescribed. Provided, of course, that the work is interesting. That was the main thing.

the track of Quality preselects what data we’re going to be conscious of, and it makes this selection in such a way as to best harmonize what we are with what we are becoming.

Consumers say they don’t want to be tracked, but in fact they keep feeding the machine with their data, because they want to claim their benefits. This

Humans always think they've covered their tracks and deleted their data, but they're wrong a lot.

Haven't you felt it? The loss of autonomy. The sense of being virtualized. The devices you use, the ones you carry everywhere, room to room, minute to minute, inescapably. Do you ever feel unfleshed? All the coded impulses you depend on to guide you. All the sensors in the room are watching you, listening to you, tracking your habits, measuring your capabilities. All the linked data designed to incorporate you into the megadata. Is there something that makes you uneasy? Do you think about the technovirus, all systems down, global implosion? Or is it more personal? Do you feel steeped in some horrific digital panic that's everywhere and nowhere?

some forms of deception might become harder to practice thanks to increased availability of many kinds of data, including reputations and track records, or the promulgation of strong epistemic norms and rationality culture.

If you have nothing to hide, then you have nothing to fear.” This is a dangerously narrow conception of the value of privacy. Privacy is an essential human need, and central to our ability to control how we relate to the world. Being stripped of privacy is fundamentally dehumanizing, and it makes no difference whether the surveillance is conducted by an undercover policeman following us around or by a computer algorithm tracking our every move.

Companies should monitor key performance indicators (KPIs) because they provide critical insights into the health and success of the business. Regular KPI tracking helps companies make data-driven decisions, identify areas for improvement, and stay aligned with their strategic goals, ultimately contributing to sustained growth and profitability.

Several talked about their “flexible hours.” “No one keeps track of the hours we work,” said Ken Holberger. He grinned. “That’s not altruism on Data General’s part. If anybody kept track, they’d have to pay us a hell of a lot more than they do.” Yet it is a fact, not entirely lost on management consultants, that some people would rather work twelve hours a day of their own choosing than eight that are prescribed. Provided, of course, that the work is interesting.

Perhaps its time to dumb down our “smart” life. We are being tracked, listened to, data mined, recorded, and so much more without our real knowing or understanding. When are we going to make a stand for our right to privacy? That’s Tremendo Bullship!

He liked the “casual” look of the basement of Westborough. “The jeans and so on.” Several talked about their “flexible hours.” “No one keeps track of the hours we work,” said Ken Holberger. He grinned. “That’s not altruism on Data General’s part. If anybody kept track, they’d have to pay us a hell of a lot more than they do.” Yet it is a fact, not entirely lost on management consultants, that some people would rather work twelve hours a day of their own choosing than eight that are prescribed. Provided, of course, that the work is interesting. That was the main thing.

Most of us would rather read than write. There is always another article to read, one more source to track down, just a bit more data to gather. But well before you’ve done all the research you’d like to do, there comes a point when you must start thinking about the first draft of your report.

The UN investigators point out many of the other issues we’d tried and failed to convince Facebook’s leaders to address: the woefully inadequate content moderation Facebook provided for Myanmar; the lack of moderators who “understand Myanmar language and its nuances, as well as the context within which comments are made”; the fact that the Burmese language isn’t rendered in Unicode; the lack of a clear system to report hate speech and alarming unresponsiveness when it is reported. The investigators noted with regret that Facebook said it was unable to provide country-specific data about the spread of hate speech on its platform, which was imperative to assess the problem and the adequacy of its response. This was surprising given that Facebook had been tracking hate speech. Community operations had written an internal report noting that forty-five of the one hundred most active hate speech accounts in Southeast Asia are in Myanmar. The truth here is inescapable. Myanmar would’ve been far better off if Facebook had never arrived there.

For years, well before consumer tracking became the norm, Radio Shack stores would routinely ask their customers for their addresses and phone numbers. For a while I just refused, but that was socially awkward. Instead, I got in the habit of replying with “9800 Savage Road, Columbia, MD, 20755”: the address of the NSA.

Fitbit is a company that knows the value of Shadow Testing. Founded by Eric Friedman and James Park in September 2008, Fitbit makes a small clip-on exercise and sleep data-gathering device. The Fitbit device tracks your activity levels throughout the day and night, then automatically uploads your data to the Web, where it analyzes your health, fitness, and sleep patterns. It’s a neat concept, but creating new hardware is time-consuming, expensive, and fraught with risk, so here’s what Friedman and Park did. The same day they announced the Fitbit idea to the world, they started allowing customers to preorder a Fitbit on their Web site, based on little more than a description of what the device would do and a few renderings of what the product would look like. The billing system collected names, addresses, and verified credit card numbers, but no charges were actually processed until the product was ready to ship, which gave the company an out in case their plans fell through. Orders started rolling in, and one month later, investors had the confidence to pony up $2 million dollars to make the Fitbit a reality. A year later, the first real Fitbit was shipped to customers. That’s the power of Shadow Testing.

In addition, seculars do not sanctify any group, any person or any book as if it and it alone has sole custody of the truth. Instead, secular people sanctify the truth wherever it may reveal itself – in ancient fossilised bones, in images of far-off galaxies, in tables of statistical data, or in the writings of various human traditions. This commitment to the truth underlies modern science, which has enabled humankind to split the atom, decipher the genome, track the evolution of life, and understand the history of humanity itself

It's a basic, intuitive right, worthy of enshrinement: Citizens, not the corporations that stealthily track them, should own their own data.

What was once an anonymous medium where anyone could be anyone—where, in the words of the famous New Yorker cartoon, nobody knows you’re a dog—is now a tool for soliciting and analyzing our personal data. According to one Wall Street Journal study, the top fifty Internet sites, from CNN to Yahoo to MSN, install an average of 64 data-laden cookies and personal tracking beacons each. Search for a word like “depression” on Dictionary.com, and the site installs up to 223 tracking cookies and beacons on your computer so that other Web sites can target you with antidepressants. Share an article about cooking on ABC News, and you may be chased around the Web by ads for Teflon-coated pots. Open—even for an instant—a page listing signs that your spouse may be cheating and prepare to be haunted with DNA paternity-test ads. The new Internet doesn’t just know you’re a dog; it knows your breed and wants to sell you a bowl of premium kibble.

In other words, our brains need to be able to: (a) focus on something specific, (b) not get off track by focusing on or being assaulted by other data inputs or toxicity, and (c) continuously be aware of relevant information at all times.

The UK company Cobham sells a system that allows someone to send a “blind” call to a phone—one that doesn’t ring, and isn’t detectable. The blind call forces the phone to transmit on a certain frequency, allowing the sender to track that phone to within one meter.

If you want to save money while traveling, always delete your browser cookies or use incognito mode before you book airline tickets online. The reason is, ticket prices go up when you visit travel websites multiple times because of collected browsing history data.

Two of the NSA’s internal databases, code-named HAPPYFOOT and FASCIA, contain comprehensive location information of devices worldwide. The NSA uses the databases to track people’s movements, identify people who associate with people of interest, and target drone strikes.

The early researchers described em-tracking as a hardware upgrade for the nervous system, maybe the result of a genetic shift, possibly a fast adaptation, Studies revealed an assortment of cognitive improvements: acute perceptual sensitivity, rapid data acquisition, high speed pattern recognition. The biggest change was in future prediction. Normally, the human brain is a selfish prognosticator, built to trace an individual’s path into the future. The em-tracker’s brain offers a wider oracle, capable of following a whole culture’s path into the future.

Direct marketers, of course, realize that measurement is the key to success. Figure out what works, and do it more! Mass marketers have always resisted this temptation. When my old company approached the head of one of the largest magazine publishers in the world and pitched a technology that would allow advertisers to track who saw their ads and responded to them, he was aghast. He realized that this sort of data could kill his business. He knew that his clients didn’t want the data because then their jobs would get a lot more complex. Measurement means admitting what’s broken so you can fix it. Mass-media advertising, whether it’s on TV or in print, is all about emotion and craft, not about fixing mistakes. One reason the Internet ad boomlet faded so fast is that it forced advertisers to measure – and to admit what was going wrong.

Use evaluation tools such as performance surveys, metrics, and formal reviews to document all aspects of a person’s performance.It’s hard to have an objective, open-minded, emotion-free conversation about performance if there is no data to discuss. It’s also hard to track progress.

Big data is based on the feedback economy where the Internet of Things places sensors on more and more equipment. More and more data is being generated as medical records are digitized, more stores have loyalty cards to track consumer purchases, and people are wearing health-tracking devices. Generally, big data is more about looking at behavior, rather than monitoring transactions, which is the domain of traditional relational databases. As the cost of storage is dropping, companies track more and more data to look for patterns and build predictive models".

We will ultimately live in a perpetual data-driven talent edition. Everything you create will be measured and tracked by others through comments, share, and likes. Your work will come up on the radar of potential employers and clients, and the data will tell them if you are worth talking to or hiring.

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Three Steps to Less Collect data by tracking your time, energy, and resources to identify patterns. Focus on one thing at a time. Eliminate multitasking and other unproductive behaviors. Implement the Pareto Principle (the 80/20 Rule). Focus on the things in your life that give you the highest return on investment.

Every vehicle with a GPS is tracked by satellite, and the history of its travels is archived in the million-square-foot Utah Data Center of the National Security Agency, in its ever-growing cloud. The NSA is a jealous guardian of the knowledge that it has acquired, and police agencies do not have routine access to it.

Today we chase after information, without gaining knowledge. We take note of everything, without gaining insight. We communicate constantly, without participating in a community. We save masses of data, without keeping track of memories. We accumulate friends and followers, without encountering others. This is how information develops a lifeform: inexistant and impermanent.

In fact, even today coins and banknotes are a rare form of money. The sum total of money in the world is about $60 trillion, yet the sum total of coins and banknotes is less than $6 trillion.7 More than 90 per cent of all money – more than $50 trillion appearing in our accounts – exists only on computer servers. Accordingly, most business transactions are executed by moving electronic data from one computer file to another, without any exchange of physical cash. Only a criminal buys a house, for example, by handing over a suitcase full of banknotes. As long as people are willing to trade goods and services in exchange for electronic data, it’s even better than shiny coins and crisp banknotes – lighter, less bulky, and easier to keep track of. For

You're bound to see some fairly complicated URLs designed not only to take you to a specific page but also to enable the company to track who's coming from where. Steve didn't believe in making people work harder just so he could collect data about their movements. His most important concern was making things easier for customers. Apple was there to serve them, not the other way around.

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.

As should be obvious by now, surveillance is the business model of the Internet. You create “free” accounts on Web sites such as Snapchat, Facebook, Google, LinkedIn, Foursquare, and PatientsLikeMe and download free apps like Angry Birds, Candy Crush Saga, Words with Friends, and Fruit Ninja, and in return you, wittingly or not, agree to allow these companies to track all your moves, aggregate them, correlate them, and sell them to as many people as possible at the highest price, unencumbered by regulation, decency, or ethical limitation. Yet so few stop and ask who else has access to all these data detritus and how it might be used against us. Dataveillance is the “new black,” and its uses, capabilities, and powers are about to mushroom in ways few consumers, governments, or technologists might have imagined.

Clarify goals and gather satisfaction metrics. Determine the people and skills needed to complete a project. Set up project management tools, plans and processes. Run status meetings and gather status reports. Analyze data to identify opportunities. Identify & implement changes to improve efficiency. Manage changes that come in from the customer. Find ways to keep the project on track even when things go wrong.

Most people who refer to an epidemic of permissive parenting just assume that this is true, that everyone knows it, and therefore that there's no need to substantiate that claim. My efforts to track down data -- by combing both scholarly and popular databases as well as sending queries to leading experts in the field -- have yielded absolutely nothing. I'm forced to conclude that no one has any idea how many parents could be considered permissive, how many are punitive, and how many are responsive to their children's needs without being permissive or punitive. (The tendency to overlook that third possibility is a troubling and enduring trend in its own right.) In short, there is absolutely no evidence to support the claim that permissiveness is the dominant style of parenting in our culture, or even that it's particularly common.

In the competitive world of digital marketing, converting prospects into loyal customers is the ultimate goal for any business. CallTrack.AI emerges as a revolutionary tool in this quest, leveraging the power of artificial intelligence to transform the lead generation process. How CallTrack.AI redefines the approach to capturing and nurturing leads, ultimately leading to higher conversion rates and a robust customer base?

It means the archives are “alive” the same way artificial intelligence is “alive.” It tracks us. It maybe (probably) thinks in some rudimentary way. But its information about the world doesn’t come from its own intrinsic existence—it comes from data that we supply. And? And that information is imperfect but it’s still not as imperfect as humanity. In nature, things that don’t fit the pattern die. Evolution is a code, it determines that the life cycle of any species is a matter of pattern recognition. But humans don’t let other humans die even when they should—even when it means disproportionate resources to keep them alive. Or they kill each other off in direct opposition to the codes of survival, based on something as irrelevant as skin color or which thing they speak to in the sky. Whether a person lives or dies is almost completely arbitrary.

There is something new: A globe about the size of a grapefruit, a perfectly detailed rendition of Planet Earth, hanging in space at arm's length in front of his eyes. Hiro has heard about this but never seen it. It is a piece of CIC software called, simply, Earth. It is the user interface that CIC uses to keep track of every bit of spatial information that it owns—all the maps, weather data, architectural plans, and satellite surveillance stuff.

Buzzfeed is an entertainment website that collects an enormous amount of information about its users. Much of the data comes from traditional Internet tracking, but Buzzfeed also has a lot of fun quizzes, some of which ask very personal questions. One of them—“How Privileged Are You?”—asks about financial details, job stability, recreational activities, and mental health. Over two million people have taken that quiz, not realizing that Buzzfeed saves data from its quizzes.

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The fourth article, which ran as planned on Saturday, was about BOUNDLESS INFORMANT, the NSA’s data-tracking program, and it described the reports showing that the NSA was collecting, analyzing, and storing billions of telephone calls and emails sent across the American telecommunications infrastructure. It also raised the question of whether NSA officials had lied to Congress when they had refused to answer senators about the number of domestic communications intercepted, claiming that they did not keep such records and could not assemble such data. After

Search engine query data is not the product of a designed statistical experiment and finding a way to meaningfully analyse such data and extract useful knowledge is a new and challenging field that would benefit from collaboration. For the 2012–13 flu season, Google made significant changes to its algorithms and started to use a relatively new mathematical technique called Elasticnet, which provides a rigorous means of selecting and reducing the number of predictors required. In 2011, Google launched a similar program for tracking Dengue fever, but they are no longer publishing predictions and, in 2015, Google Flu Trends was withdrawn. They are, however, now sharing their data with academic researchers... Google Flu Trends, one of the earlier attempts at using big data for epidemic prediction, provided useful insights to researchers who came after them... The Delphi Research Group at Carnegie Mellon University won the CDC’s challenge to ‘Predict the Flu’ in both 2014–15 and 2015–16 for the most accurate forecasters. The group successfully used data from Google, Twitter, and Wikipedia for monitoring flu outbreaks.

In this respect, Obama is fairly typical of progressives more generally. The evidence for this claim is in Arthur Brooks’s study, Who Really Cares. Brooks bases his conclusions on data drawn from a wide range of sources that keep track of philanthropy. Brooks divides America into four groups: religious conservatives, religious liberals, secular conservatives, and secular liberals. He finds that religious conservatives are the most generous people in America, and secular liberals are the least generous. (Secular conservatives and religious liberals fall in the middle.)

The principal aim underlying this work is to render homage where homage is due, a task which I know beforehand is impossible of accomplishment. Were I to do it properly, I would have to get down on my knees and thank each blade of grass for rearing its head. What chiefly motivates me in this vain task is the fact that in general we know all too little about the influences which shape a writer’s life and work. The critic, in his pompous conceit and arrogance, distorts the true picture beyond all recognition. The author, however truthful he may think himself to be, inevitably disguises the picture. The psychologist, with his single-track view of things, only deepens the blur. As author, I do not think myself an exception to the rule. I, too, am guilty of altering, distorting and disguising the facts — if ‘facts’ there be. My conscious effort, however, has been — perhaps to a fault– in the opposite direction. I am on the side of revelation, if not always on the side of beauty, truth, wisdom, harmony and ever-evolving perfection. In this work I am throwing out fresh data, to be judged and analyzed, or accepted and enjoyed for enjoyment’s sake. Naturally I cannot write about all the books, or even all the significant ones, which I have read in the course of my life. But I do intend to go on writing about books and authors until I have exhausted the importance (for me) of this domain of reality. To have undertaken the thankless task of listing all the books I can recall ever reading gives me extreme pleasure and satisfaction. I know of no author who has been mad enough to attempt this. Perhaps my list will give rise to more confusion — but its purpose is not that. Those who know how to read a man know how to read his books.

Once the NSA embraced the Internet and a drift-net style of data collection, the agency was transformed. The bulk collection of phone and e-mail metadata, both inside the United States and around the world, has now become one of the NSA’s core missions. The agency’s analysts have discovered that they can learn far more about people by tracking their daily digital footprints through their metadata than they could ever learn from actually eavesdropping on their conversations. What’s more, phone and e-mail logging data comes with few legal protections, making it easy for the NSA to access.

One important error that the judges make is what American legal scholar Cass Sunstein calls “current offense bias”—that is, when they make decisions about bail, they focus too much on the specific offense the defendant has been accused of. Defendants whose track record suggests they’re a high risk are treated as low risk if they’re accused of a minor crime, and defendants whose track record suggests they’re low risk are treated as high risk if the current offense is serious. There’s valuable information here that the algorithm puts to good use, but the human judges—for all their intelligence, experience, and training—tend to overlook it.

Ellison, Gates, and the other members of this government/industry collaboration used the lockdown to accelerate construction of their 5G network54 of satellites, antennae, biometric facial recognition, and “track and trace” infrastructure that they, and their government and intelligence agency partners, can use to mine and monetize our data, further suppress dissent, to compel obedience to arbitrary dictates, and to manage the rage that comes as Americans finally wake up to the fact that this outlaw gang has stolen our democracy, our civil rights, our country, and our way of life—while we huddled in orchestrated fear from a flu-like virus.

the feeling that they are. Psychologists have a name for our tendency to confuse our own perspective with something more universal: it’s called “naive realism,” the sense that we are seeing reality as it truly is, without filters or errors.9 Naive realism can lead us badly astray when we confuse our personal perspective on the world with some universal truth. We are surprised when an election goes against us: Everyone in our social circle agreed with us, so why did the nation vote otherwise? Opinion polls don’t always get it right, but I can assure you they have a better track record of predicting elections than simply talking to your friends.

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.

The cheerleaders of the new data regime rarely acknowledge the impacts of digital decision-making on poor and working-class people. This myopia is not shared by those lower on the economic hierarchy, who often see themselves as targets rather than beneficiaries of these systems. For example, one day in early 2000, I sat talking to a young mother on welfare about her experiences with technology. When our conversation turned to EBT cards, Dorothy Allen said, “They’re great. Except [Social Services] uses them as a tracking device.” I must have looked shocked, because she explained that her caseworker routinely looked at her purchase records. Poor women are the test subjects for surveillance technology, Dorothy told me. Then she added, “You should pay attention to what happens to us. You’re next.” Dorothy’s insight was prescient. The kind of invasive electronic scrutiny she described has become commonplace across the class spectrum today. Digital tracking and decision-making systems have become routine in policing, political forecasting, marketing, credit reporting, criminal sentencing, business management, finance, and the administration of public programs. As these systems developed in sophistication and reach, I started to hear them described as forces for control, manipulation, and punishment

Haven't you felt it? The loss of autonomy. The sense of being virtualized. The devices you use, the ones you carry everywhere, room to room, minute to minute, inescapably. Do you ever feel unfleshed? All the coded impulses you depend on to guide you. All the sensors in the room that are watching you, listening to you, tracking your habits, measuring your capabilities. All the linked data designed to incorporate you into the megadata. Is there something that makes you uneasy? Do you think about the technovirus, all systems down, global implosion? Or is it more personal? Do you feel steeped in some horrific digital panic that's everywhere and nowhere?

In fact, even today coins and banknotes are a rare form of money. The sum total of money in the world is about $60 trillion, yet the sum total of coins and banknotes is less than $6 trillion.7 More than 90 per cent of all money – more than $50 trillion appearing in our accounts – exists only on computer servers. Accordingly, most business transactions are executed by moving electronic data from one computer file to another, without any exchange of physical cash. Only a criminal buys a house, for example, by handing over a suitcase full of banknotes. As long as people are willing to trade goods and services in exchange for electronic data, it’s even better than shiny coins and crisp banknotes – lighter, less bulky, and easier to keep track of.

Yet, the cosmic view comes with a hidden cost. When I travel thousands of miles to spend a few moments in the fast-moving shadow of the moon during a total solar eclipse, sometimes I lose sight of Earth. When I pause and reflect on our expanding universe with its galaxies hurdling away from one another, embedded within the ever-stretching four-dimensional fabric of space and time, sometimes I forget that uncounted people walk this Earth without food or shelter, and that children are disproportionally represented among them. When I pour over the data that established the mysterious presence of dark matter and dark energy throughout the universe, sometimes I forget that every day, every 24 hour rotation of Earth, people kill and get killed in the name of someone else's conception of God, and that some people who do not kill in the name of God kill in the name of needs or wants of political dogma. When I track the orbits of asteroids, comets, and planets, each one a pirouetting dancer in a cosmic ballet, choreographed by the forces of gravity, sometimes I forget that too many people act in wanton disregard for the delicate interplay of Earth's atmosphere, oceans, and land, with consequences that our children and our children's children will witness and pay for with their health and wellbeing. And sometimes I forget that powerful people rarely do all they can to help those who cannot help themselves. I occasionally forget these things because however big the world is in our hearts, our minds, and our outsized digital maps, the universe is even bigger. A depressing thought to some, but a liberating thought to me.

The benefits go beyond research and influence. We lack comprehensive historical records of internet culture and patterns of abuse. Those of us on the front lines tend to have institutional memory, but archiving this information would be extremely beneficial for tracking patterns and mechanisms in different settings. The kind of coordinated mob abuse that I went through was the same kind of abuse the women who exposed #EndFathersDay experienced was the same kind of abuse the infosec community instigated against Kathy Sierra in 2007 and so on. Some of the actors are even the same. This data could be invaluable to sociologists, technologists, and historians alike. However, due to the extremely personal nature of this information, the details of how it’s obtained, who obtains it, and what is done with it must be well thought out.

Quite often, the Tesla engineers brought their Silicon Valley attitude to the automakers’ traditional stomping grounds. There’s a break and traction testing track in northern Sweden near the Arctic Circle where cars get tuned on large plains of ice. It would be standard to run the car for three days or so, get the data, and return to company headquarters for many weeks of meetings about how to adjust the car. The whole process of tuning a car can take the entire winter. Tesla, by contrast, sent its engineers along with the Roadsters being tested and had them analyze the data on the spot. When something needed to be tweaked, the engineers would rewrite some code and send the car back on the ice. “BMW would need to have a confab between three or four companies that would all blame each other for the problem,” Tarpenning said. “We just fixed it ourselves.

Equally important, statistical systems require feedback—something to tell them when they’re off track. Without feedback, however, a statistical engine can continue spinning out faulty and damaging analysis while never learning from its mistakes. Many of the WMDs I’ll be discussing in this book, including the Washington school district’s value-added model, behave like that. They define their own reality and use it to justify their results. This type of model is self-perpetuating, highly destructive—and very common. If the people being evaluated are kept in the dark, the thinking goes, they’ll be less likely to attempt to game the system. Instead, they’ll simply have to work hard, follow the rules, and pray that the model registers and appreciates their efforts. But if the details are hidden, it’s also harder to question the score or to protest against it.

This is how it works. The exomemory stores data – all data – that the Oubliette gathers, the environment, senses, thoughts, everything. The gevulot keeps track of who can access what, in real time. It’s not just one public/private key pair, it’s a crazy nested hierarchy, a tree of nodes where each branch can only be unlocked by the root node. You meet someone and agree what you can share, what they can know about you, what you can remember afterwards.’ ‘Sounds complicated.’ ‘It is. The Martians have a dedicated organ for it.’ I tap my head. ‘A privacy sense. They feel what they are sharing, what is private and what isn’t. They also do something called co-remembering, sharing memories with others just by sharing the appropriate key with them. We just have the baby version. They give the visitors a bit of exomemory and an interface to it, reasonably well-defined. But there is no way we can appreciate the subtleties.

This is the thinking behind Amazon’s anticipatory shopping patent.43 Instead of customers making their own decisions, Amazon decides for them, sending what they want before they know they want it. It is, as one commentator noticed, one more step towards cutting out human agency altogether.44 Pervasive monitoring devices – smartphones, wearables, voice-enabled speakers and smart meters – allow companies to track and manage consumer behaviour. The Harvard business scholar Shoshana Zuboff quotes an unnamed chief data scientist who explains: ‘The goal of everything we do is to change people’s actual behavior at scale . . . we can capture their behaviours and identify good and bad [ones]. Then we develop “treatments” or “data pellets” that select good behaviours.’45 MIT’s Alex Pentland seems more interested in enhancing machines than human understanding. He celebrates the opportunity to deploy sensors and data in order to increase efficiency

Rather, productivity is about making certain choices in certain ways. The way we choose to see ourselves and frame daily decisions; the stories we tell ourselves, and the easy goals we ignore; the sense of community we build among teammates; the creative cultures we establish as leaders: These are the things that separate the merely busy from the genuinely productive. We now exist in a world where we can communicate with coworkers at any hour, access vital documents over smartphones, learn any fact within seconds, and have almost any product delivered to our doorstep within twenty-four hours. Companies can design gadgets in California, collect orders from customers in Barcelona, email blueprints to Shenzhen, and track deliveries from anywhere on earth. Parents can auto-sync the family’s schedules, pay bills online while lying in bed, and locate the kids’ phones one minute after curfew. We are living through an economic and social revolution that is as profound, in many ways, as the agrarian and industrial revolutions of previous eras. These advances in communications and technology are supposed to make our lives easier. Instead, they often seem to fill our days with more work and stress. In part, that’s because we’ve been paying attention to the wrong innovations. We’ve been staring at the tools of productivity—the gadgets and apps and complicated filing systems for keeping track of various to-do lists—rather than the lessons those technologies are trying to teach us. There are some people, however, who have figured out how to master this changing world. There are some companies that have discovered how to find advantages amid these rapid shifts. We now know how productivity really functions. We know which choices matter most and bring success within closer reach. We know how to set goals that make the audacious achievable; how to reframe situations so that instead of seeing problems, we notice hidden opportunities; how to open our minds to new, creative connections; and how to learn faster by slowing down the data that is speeding past us.

Here’s what strikes me when I think back to my childhood, particularly those first nine Internet-less years: I can’t account for everything that happened back then, because I have only my memory to rely on. The data just doesn’t exist. When I was a child, “the unforgettable experience” was not yet a threateningly literal technological description, but a passionate metaphorical prescription of significance: my first words, my first steps, my first lost tooth, my first time riding a bicycle. My generation was the last in America and perhaps even in world history for which this is true—the last undigitized generation, whose childhoods aren’t up on the cloud but are mostly trapped in analog formats like handwritten diaries and Polaroids and VHS cassettes, tangible and imperfect artifacts that degrade with age and can be lost irretrievably. My schoolwork was done on paper with pencils and erasers, not on networked tablets that logged my keystrokes. My growth spurts weren’t tracked by smart-home technologies, but notched with a knife into the wood of the door frame of the house in which I grew up.

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Starting a little over a decade ago, Target began building a vast data warehouse that assigned every shopper an identification code—known internally as the “Guest ID number”—that kept tabs on how each person shopped. When a customer used a Target-issued credit card, handed over a frequent-buyer tag at the register, redeemed a coupon that was mailed to their house, filled out a survey, mailed in a refund, phoned the customer help line, opened an email from Target, visited Target.com, or purchased anything online, the company’s computers took note. A record of each purchase was linked to that shopper’s Guest ID number along with information on everything else they’d ever bought. Also linked to that Guest ID number was demographic information that Target collected or purchased from other firms, including the shopper’s age, whether they were married and had kids, which part of town they lived in, how long it took them to drive to the store, an estimate of how much money they earned, if they’d moved recently, which websites they visited, the credit cards they carried in their wallet, and their home and mobile phone numbers. Target can purchase data that indicates a shopper’s ethnicity, their job history, what magazines they read, if they have ever declared bankruptcy, the year they bought (or lost) their house, where they went to college or graduate school, and whether they prefer certain brands of coffee, toilet paper, cereal, or applesauce. There are data peddlers such as InfiniGraph that “listen” to shoppers’ online conversations on message boards and Internet forums, and track which products people mention favorably. A firm named Rapleaf sells information on shoppers’ political leanings, reading habits, charitable giving, the number of cars they own, and whether they prefer religious news or deals on cigarettes. Other companies analyze photos that consumers post online, cataloging if they are obese or skinny, short or tall, hairy or bald, and what kinds of products they might want to buy as a result.

How Google Works (Schmidt, Eric) - Your Highlight on Location 3124-3150 | Added on Sunday, April 5, 2015 10:35:40 AM In late 1999, John Doerr gave a presentation at Google that changed the company, because it created a simple tool that let the founders institutionalize their “think big” ethos. John sat on our board, and his firm, Kleiner Perkins, had recently invested in the company. The topic was a form of management by objectives called OKRs (to which we referred in the previous chapter), which John had learned from former Intel CEO Andy Grove.173 There are several characteristics that set OKRs apart from their typical underpromise-and-overdeliver corporate-objective brethren. First, a good OKR marries the big-picture objective with a highly measurable key result. It’s easy to set some amorphous strategic goal (make usability better … improve team morale … get in better shape) as an objective and then, at quarter end, declare victory. But when the strategic goal is measured against a concrete goal (increase usage of features by X percent … raise employee satisfaction scores by Y percent … run a half marathon in under two hours), then things get interesting. For example, one of our platform team’s recent OKRs was to have “new WW systems serving significant traffic for XX large services with latency < YY microseconds @ ZZ% on Jupiter.”174 (Jupiter is a code name, not the location of Google’s newest data center.) There is no ambiguity with this OKR; it is very easy to measure whether or not it is accomplished. Other OKRs will call for rolling out a product across a specific number of countries, or set objectives for usage (e.g., one of the Google+ team’s recent OKRs was about the daily number of messages users would post in hangouts) or performance (e.g., median watch latency on YouTube videos). Second—and here is where thinking big comes in—a good OKR should be a stretch to achieve, and hitting 100 percent on all OKRs should be practically unattainable. If your OKRs are all green, you aren’t setting them high enough. The best OKRs are aggressive, but realistic. Under this strange arithmetic, a score of 70 percent on a well-constructed OKR is often better than 100 percent on a lesser one. Third, most everyone does them. Remember, you need everyone thinking in your venture, regardless of their position. Fourth, they are scored, but this scoring isn’t used for anything and isn’t even tracked. This lets people judge their performance honestly. Fifth, OKRs are not comprehensive; they are reserved for areas that need special focus and objectives that won’t be reached without some extra oomph. Business-as-usual stuff doesn’t need OKRs. As your venture grows, the most important OKRs shift from individuals to teams. In a small company, an individual can achieve incredible things on her own, but as the company grows it becomes harder to accomplish stretch goals without teammates. This doesn’t mean that individuals should stop doing OKRs, but rather that team OKRs become the more important means to maintain focus on the big tasks. And there’s one final benefit of an OKR-driven culture: It helps keep people from chasing competitors. Competitors are everywhere in the Internet Century, and chasing them (as we noted earlier) is the fastest path to mediocrity. If employees are focused on a well-conceived set of OKRs, then this isn’t a problem. They know where they need to go and don’t have time to worry about the competition. ==========

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But the internet adds a host of other, nightmarish metaphorical structures: the mirror, the echo, the panopticon. As we move about the internet, our personal data is tracked, recorded, and resold by a series of corporations—a regime of involuntary technological surveillance, which subconsciously decreases our resistance to the practice of voluntary self-surveillance on social media.

Lovallo and Kahneman offer a useful prescription to repair this cognitive bias: Get the data. Track down actual figures on launch failure rates for your company, your industry, other industries or projects similar to yours. The numbers will be fascinating – and sobering.

Joseph Bosso has only worked as an consultant since 2017, but has already developed a reputation as being exceptional at his job. Joseph Bosso has a proven track record of delivering the perfect results for his clients. He has previously worked in a project management role where he was responsible for performing data analysis on incoming web traffic.

When Apple launched its health-monitoring system with much fanfare in 2014, it boasted a ‘comprehensive’ health tracker.15 It could track blood pressure; steps taken; blood alcohol level; even molybdenum (nope, me neither) and copper intake. But as many women pointed out at the time, they forgot one crucial detail: a period tracker.16

REIT ETFs can cover a broad market (like all equity REITs) or a narrow slice (like hotel REITs). Examples of real estate ETFs include: • Vanguard Real Estate ETF (VNQ), which follows the MSCI US Investable Market Real Estate 25/50 Index (a broad REIT index) • iShares Global REIT (REET), which tracks the FTSE EPRA/NAREIT Global REIT Index and holds a combination of US and overseas property REITs • Pacer Benchmark Industrial Real Estate Sector ETF (INDS), a targeted fund that follows the Benchmark Industrial Real Estate SCTR Index with an emphasis on industrial (such as cell towers and data centers) and self-storage properties • Schwab US REIT ETF (SCHH), which tracks the Dow Jones US Select REIT Index, holding a broad mix of residential and commercial REITs

What gets tracked, gets measured What gets measured, gets managed What gets managed, is improved.

Driver Behavior & Safety Proper driving behavior is vital for the safety of drivers, passengers, pedestrians and is a means to achieve fewer road accidents, injuries and damage to vehicles. It plays a role in the cost of managing a fleet as it impacts fuel consumption, insurance rates, car maintenance and fines. It is also important for protecting a firm’s brand and reputation as most company- owned vehicles carry the company’s logo. Ituran’s solution for driver behavior and safety improves organizational driving culture and standards by encouraging safer and more responsible driving. The system which tracks and monitors driver behavior using an innovative multidimensional accelerometer sensor, produces (for each driver) an individual score based on their performance – sudden braking and acceleration, sharp turns, high-speed driving over speed bumps, erratic overtaking, speeding and more. The score allows fleet managers to compare driver performance, set safety benchmarks and hold each driver accountable for their action. Real-time monitoring identifies abnormal behavior mode—aggressive or dangerous—and alerts the driver using buzzer or human voice indication, and detects accidents in real time. When incidents or accidents occurs, a notification sent to a predefined recipient alerts management, and data collected both before and after accidents is automatically saved for future analysis. • Monitoring is provided through a dedicated application which is available to both fleet manager and driver (with different permission levels), allowing both to learn and improve • Improves organizational driving culture and standards and increases safety of drivers and passengers • Web-based reporting gives a birds-eye view of real-time driver data, especially in case of an accident • Detailed reports per individual driver include map references to where incidents have occurred • Comparative evaluation ranks driving according to several factors; the system automatically generates scores and a periodic assessment certificate for each driver and/or department Highlights 1. Measures and scores driver performance and allows to give personal motivational incentives 2. Improves driving culture by encouraging safer and more responsible driving throughout the organization 3. Minimizes the occurrence of accidents and protects the fleet from unnecessary wear & tear 4. Reduces expenses related to unsafe and unlawful driving: insurance, traffic tickets and fines See how it works:

Legal opposition and social protest have surfaced in relation to the digitalization of books,24 the collection of personal information through Street View’s Wi-Fi and camera capabilities,25 the capture of voice communications,26 the bypassing of privacy settings,27 the manipulation of search results,28 the extensive retention of search data,29 the tracking of smartphone location data,30 wearable technologies and facial-recognition capabilities,31 the secret collection of student data for commercial purposes,32 and the consolidation of user profiles across all Google’s services and devices,33 just to name several instances. Expect to see drones, body sensors, neurotransmitters, “digital assistants,” and other sensored devices on this list in the years to come.

Revolutionizing Healthcare: The Role of CGM Devices in Diabetes Management In recent years, Continuous Glucose Monitoring (CGM) devices have emerged as a game-changer in diabetes management, offering patients a real-time view of their glucose levels and revolutionizing the way they monitor their condition. Among the pioneers in providing these life-changing devices, Med Supply US stands out as a reliable source, offering CGMs from various renowned brands like Abbott, Dexcom, and more. This article explores the significance of CGM devices and highlights the contribution of Med Supply US in making them accessible to those in need. Understanding CGM Devices: For individuals living with diabetes, maintaining optimal blood glucose levels is crucial to prevent serious health complications. Traditionally, this involved frequent finger-prick tests, which could be inconvenient and sometimes inaccurate. CGM devices, however, have transformed this process by providing continuous and real-time glucose level readings. These devices consist of a small sensor inserted under the skin that measures glucose levels in the interstitial fluid. The data collected is then transmitted to a receiver or a smartphone app, allowing users to track their glucose levels throughout the day and night. Benefits of CGM Devices: The introduction of CGM devices has brought about a paradigm shift in diabetes management due to their numerous benefits: Real-time Monitoring: CGM devices offer a real-time insight into glucose trends, enabling users to make informed decisions about their diet, exercise, and insulin dosages. This real-time feedback empowers individuals to take timely action to maintain their glucose levels within a healthy range.

In recent years, Continuous Glucose Monitoring (CGM) devices have emerged as a game-changer in diabetes management, offering patients a real-time view of their glucose levels and revolutionizing the way they monitor their condition. Among the pioneers in providing these life-changing devices, Med Supply US stands out as a reliable source, offering CGMs from various renowned brands like Abbott, Dexcom, and more. This article explores the significance of CGM devices and highlights the contribution of Med Supply US in making them accessible to those in need. Understanding CGM Devices: For individuals living with diabetes, maintaining optimal blood glucose levels is crucial to prevent serious health complications. Traditionally, this involved frequent finger-prick tests, which could be inconvenient and sometimes inaccurate. CGM devices, however, have transformed this process by providing continuous and real-time glucose level readings. These devices consist of a small sensor inserted under the skin that measures glucose levels in the interstitial fluid. The data collected is then transmitted to a receiver or a smartphone app, allowing users to track their glucose levels throughout the day and night. Benefits of CGM Devices: The introduction of CGM devices has brought about a paradigm shift in diabetes management due to their numerous benefits: Real-time Monitoring: CGM devices offer a real-time insight into glucose trends, enabling users to make informed decisions about their diet, exercise, and insulin dosages. This real-time feedback empowers individuals to take timely action to maintain their glucose levels within a healthy range. Reduced Hypoglycemia and Hyperglycemia: By providing alerts for both low and high glucose levels, CGMs help users avoid dangerous hypoglycemic episodes and hyperglycemic spikes. This is particularly beneficial during sleep when such episodes might otherwise go unnoticed. Data-Driven Insights: CGM devices generate a wealth of data, including glucose trends, patterns, and even predictive alerts for potential issues. This information can be shared with healthcare providers to tailor treatment plans for optimal diabetes management. Enhanced Quality of Life: The convenience of CGM devices reduces the need for frequent finger pricks, leading to an improved quality of life for individuals managing diabetes. The constant insights also alleviate anxiety related to unpredictable glucose fluctuations. Med Supply US: Bringing Hope to Diabetes Management: Med Supply US has emerged as a prominent supplier of CGM devices, offering a range of options from reputable brands such as Abbott and Dexcom. The availability of CGMs through Med Supply US has made these cutting-edge devices accessible to a wider demographic, bridging the gap between technology and healthcare. Med Supply US not only provides access to CGM devices but also plays a crucial role in educating individuals about their benefits. Through informative resources, they empower users to make informed choices based on their specific needs and preferences. Furthermore, their commitment to customer support ensures that users can seamlessly integrate CGM devices into their daily routines.

General Tips for Better-than-Average Lie-Detecting Sit back and let the other person volunteer information, rather than pulling it out of them. Don’t let on what you know too early—or at all. Stay relaxed and causal. What you are observing is not the person themselves, but the person as they are in a quasi-interrogational situation with you. So don’t make it seem like an inquisition, otherwise you may simply be watching them feel distressed about the situation itself. Don’t worry about individual signs and clues like touching the nose, looking up to the right or stuttering. Rather, look at how the person responds in general to shifts in the conversation, especially at junctures where you believe they may be having to concoct a story on the fly. Listen for stories that seem unusually long or detailed—liars use more words, and they may even talk more quickly. Take your time. It may be a while before you uncover a deception. But the longer the other person talks, the more chance they have of slipping up or getting their story tangled. Watch primarily for inconsistencies—details of the story that don’t add up, emotional expressions that don’t fit the story, or abrupt shifts in the way the story is told. Being chatty and then all of a sudden getting quiet and serious when you ask a particular question is certainly telling. Always interpret your conversation in light of what you already know, the context, and other details you’ve observed in your interactions with this person. It’s all about looking at patterns, and then trying to determine if any disruptions in that pattern point to something interesting. Don’t be afraid to trust your gut instinct! Your unconscious mind may have picked up some data your conscious mind hasn’t become aware of. Don’t make decisions on intuition alone, but don’t dismiss it too quickly, either. Takeaways Casual observation of body language, voice and verbal cues can help with understanding honest people, but we need more sophisticated techniques to help us detect liars. Most people are not as good at spotting deception as they think they are. Bias, expectation and the belief that we can’t or shouldn’t be lied to can get in the way of realizing we’re being deceived. Good lie detection is a dynamic process that focuses on the conversation. Use open ended questions to get people to surrender information voluntarily, and observe. Look out for overly wordy stories that are presented all at once, inconsistencies in the story or emotional affect, delays or avoidance in answering questions, or inability to answer unexpected questions. Liars are easier to spot when lying is spontaneous—try not to allow the liar any time to prepare or rehearse a script, or else ask unexpected questions or plant a lie yourself to watch their response and gain a baseline against which to compare the possible lie. Increasing cognitive load can cause a liar to fumble their story or lose track of details, revealing themselves in a lie. Keep drilling for detail and be suspicious if details don’t add up, if emotion doesn’t match content, or if the person is deliberately stalling for time. Look out for specific signs that a person is cognitively overloaded. One example is that the liar will display less emotions while speaking than they or an average person normally would in their situation. These emotions will instead leak through in their body language. Most commonly, this manifests in more frequent blinking, pupil dilation, speech disturbances, and slips of tongue. Spotting liars is notoriously difficult, but we improve our chances when we focus on strategic and targeted conversations designed to make the liar trip up on his own story, rather than trying to guess hidden intentions from body language alone.

A strain of newly minted “cyberlibertarian” ideals informed the early Internet, which assumed that a fairly minimal communications layer was sufficient; obviously necessary higher-level architectural elements, such as persistent identities for humans, would be supplied by a hypothetical future layer of private industry. But these higher layers turned out to give rise to natural monopolies because of network effects; the outcome was a new kind of unintended centralization of information and therefore of power. A tiny number of tech giants came to own the means of access to networks for most people. Indeed, these companies came to route and effectively control the data of most individuals. Similarly, there was no provision for provenance, authentication, or any other species of digital context that might support trust, a precious quality that underlies decent societies. Neither the Internet nor the Web built on top of it kept track of back links, meaning what nodes on the Internet included references to a given node. It was left to businesses like commercial search engines to maintain that type of context. Support for financial transactions was left to private enterprise and quickly became the highly centralized domain of a few credit card and online payment companies.

Exploring the Benefits of Continuous Glucose Monitors (CGMs) In the world of diabetes management, Continuous Glucose Monitors (CGMs) have emerged as a game-changing technology. These small devices are designed to provide real-time data on blood glucose levels, offering numerous advantages for individuals living with diabetes. In this article, we'll delve into the benefits of CGMs and why they are becoming an indispensable tool for managing diabetes. Real-Time Monitoring: CGMs provide a continuous stream of data, allowing users to monitor their glucose levels 24/7. This real-time feedback helps individuals make informed decisions about their diet, exercise, and insulin administration. Improved Glycemic Control: With constant glucose tracking, users can spot trends and patterns in their blood sugar levels. This insight enables them to make proactive adjustments to their diabetes management plan, leading to better glycemic control.

Human beings become “data points,” and “data mining” is a more palpable way of saying that we are tracking people’s every click, trip and personal habit. We “reduce head counts,” and the online ticket broker charges us a “convenience fee” instead of calling it what it is, a surcharge.

The evidence that sleep is important is irrefutable. Some strategies you might use in your consultant role include: Often when the advice comes from a third, nonparental party, kids are more willing to take it seriously. With a school-aged child, tell her that you want to get her pediatrician’s advice about sleep—or the advice of another adult the child respects. If you have a teenager, ask her if she would be open to your sharing articles about sleep with her. With school-aged kids and younger, you can enforce an agreed-upon lights-out time. Remind them that as a responsible parent, it’s right for you to enforce limits on bedtime and technology use in the evening (more on this later). Because technology and peer pressure can make it very difficult for teens to go to bed early, say, “I know this is hard for you. I’m not trying to control you. But if you’d like to get to bed earlier and need help doing it, I’m happy to give you an incentive.” An incentive is okay in this case because you’re not offering it as a means to get her to do what you want her to do, but to help her do what she wants to do on her own but finds challenging. It’s a subtle but important distinction.26 For older kids, make privileges like driving contingent on getting enough sleep—since driving while sleep deprived is so dangerous. How to chart their sleep is more complicated. Reliable tools for assessing when a child falls asleep and how long he stays asleep, such as the actigraph, require extensive training and are not something parents can use at home to track their kids’ sleep. Moreover, Fitbits are unfortunately unreliable in gathering data. But you can ask your child to keep a sleep log where she records what time she turned out the lights, and (in the morning) how long she thinks it took her to fall asleep, and whether she was up during the night. She may not know how long it took her to fall asleep; that’s okay. Just ask, “Was it easier to fall asleep than last night or harder?” Helping kids figure out if they’ve gotten enough rest is a process, and trust, communication, and collaborative problem solving are key to that process. Encourage your child to do screen-time homework earlier and save reading homework for later so she gets less late light exposure. Ask questions such as “If you knew you’d be better at everything you do if you slept an extra hour and a half, would that change your sense of how important sleep is?” And “If you knew you’d be at risk for developing depression if you didn’t sleep enough, would that change your mind?” Talk to her about your own attempts to get to bed earlier. Ask, “Would you be open to us supporting each other in getting the sleep we need? I’ll remind you and you remind me?

The revelation of tech companies tracking our every move prompted the creation of Bronva. We reject the notion that users should be commodified for corporate gain. With Bronva, your data is not for sale, your online activities are not monetized, and your searches remain private.

Understanding Financial Risks and Companies Mitigate them? Financial risks are the possible threats, losses and debts corporations face during setting up policies and seeking new business opportunities. Financial risks lead to negative implications for the corporations that can lead to loss of financial assets, liabilities and capital. Mitigation of risks and their avoidance in the early stages of product deployment, strategy-planning and other vital phases is top-priority for financial advisors and managers. Here's how to mitigate risks in financial corporates:- ● Keeping track of Business Operations Evaluating existing business operations in the corporations will provide a holistic view of the movement of cash-flows, utilisation of financial assets, and avoiding debts and losses. ● Stocking up Emergency Funds Just as families maintain an emergency fund for dealing with uncertainties, the same goes for large corporates. Coping with uncertainty such as the ongoing pandemic is a valuable lesson that has taught businesses to maintain emergency funds to avoid economic lapses. ● Taking Data-Backed Decisions Senior financial advisors and managers must take well-reformed decisions backed by data insights. Data-based technologies such as data analytics, science, and others provide resourceful insights about various economic activities and help single out the anomalies and avoid risks. Enrolling for a course in finance through a reputed university can help young aspiring financial risk advisors understand different ways of mitigating risks and threats. The IIM risk management course provides meaningful insights into the other risks involved in corporations. What are the Financial Risks Involved in Corporations? Amongst the several roles and responsibilities undertaken by the financial management sector, identifying and analysing the volatile financial risks. Financial risk management is the pinnacle of the financial world and incorporates the following risks:- ● Market Risk Market risk refers to the threats that emerge due to corporational work-flows, operational setup and work-systems. Various financial risks include- an economic recession, interest rate fluctuations, natural calamities and others. Market risks are also known as "systematic risk" and need to be dealt with appropriately. When there are significant changes in market rates, these risks emerge and lead to economic losses. ● Credit Risk Credit risk is amongst the common threats that organisations face in the current financial scenarios. This risk emerges when a corporation provides credit to its borrower, and there are lapses while receiving owned principal and interest. Credit risk arises when a borrower falters to make the payment owed to them. ● Liquidity Risk Liquidity risk crops up when investors, business ventures and large organisations cannot meet their debt compulsions in the short run. Liquidity risk emerges when a particular financial asset, security or economic proposition can't be traded in the market. ● Operational Risk Operational risk arises due to financial losses resulting from employee's mistakes, failures in implementing policies, reforms and other procedures. Key Takeaway The various financial risks discussed above help professionals learn the different risks, threats and losses. Enrolling for a course in finance assists learners understand the different risks. Moreover, pursuing the IIM risk management course can expose professionals to the scope of international financial management in India and other key concepts.

Give every American the right to stop data collection altogether with the click of a button. That’s what I call the Do Not Track proposal, legislation I introduced in the Senate.

Of course, it’s better to have founded a successful one. Repeat founders who have previously scaled a company, even to a modest size, bring a track record that makes things easier for them the next time they start a company. Of the billion-dollar companies, 70 percent of repeat founders had founded at least one previously successful company—compared to 24 percent in the random group, a significant difference. Those who had founded a fruitful company in the past were much more likely to create a billion-dollar company. This was the strongest difference I observed in my data between the billion-dollar and the random group. Repeat founders were more likely to build billion-dollar startups.

On several occasions, I have met and spoken to retired men that once worked inside government facilities whose job was “tracking and storing” data. In every case, the higher they were, the more apt they were (upon retiring) to have no electronics such as iPhones, laptops, or smart televisions. They communicated the old school way, on a landline. Most were living in the country, far from cities where they grew their own food, drilled wells, raise cattle and chickens. At times, they will use special equipment and do “sweeps” of each room in their house or office to detect electronic listening devices. They are not hyper, but they are knowledgeable.

In 2014, an executive used the software’s “god view”—which shows customers’ real-time movements, as well as their ride history—to track a journalist who was critical of the company. Other sources have claimed that most corporate employees have unfettered access to customers’ ride data—and have, at times, tracked individual users just for fun.6 In 2012, Uber even published an official blog post bragging about how it can tell when users have had a one-night stand—dubbing them, somewhat grossly, “rides of glory.” (Uber deleted the post a couple years later, when major stories started breaking about its disregard for privacy.)

We are already seeing car insurance premiums linked to tracking devices in cars, and health insurance coverage that depends on people wearing a fitness tracking device. When surveillance is used to determine things that hold sway over important aspects of life, such as insurance coverage or employment, it starts to appear less benign. Moreover, data analysis can reveal surprisingly intrusive things: for example, the movement sensor in a smartwatch or fitness tracker can be used to work out what you are typing (for example, passwords) with fairly good accuracy [98]. And algorithms for analysis are only going to get better.

we hadn’t been keeping track of the appropriate data, and we’d have to start doing so.

More than just vehicles on a map, CompassCom empowers GIS centric fleet tracking and management that supports data-driven decisions, bringing efficiencies and accuracy across all departments of your operation.Enhanced command and control with real-time asset tracking and after-action analytics leveraging the power of ArcGIS. The knowledge base of records supports continuous improvement using location intelligence to empower results you can trust. An effective fleet tracking solution can help improve fleet operations in a number of ways. For example, it can reduce engine idling time and harsh cornering, make smart routing decisions for drivers, improve customer satisfaction with accurate ETAs, and track vehicle maintenance costs.

Humans always think they’ve covered their tracks and deleted their data, but they’re wrong a lot.

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.