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Data Quotes

“Do the current keepers of the organization’s data feel threatened by a BI implementation? Those who know the organization’s data best may feel their value depends on their being the sole possessor of that inside information. Getting these information gatekeepers to cooperate in sharing inside information and explaining those calculations is essential. These key individuals must be shown how, with a functioning BI infrastructure, they will be able to move beyond shepherding data to shepherding the organization by concentrating on making the key business decisions they were hired to make.”

“Considering the centrality of data as the linchpin of the AI revolution and the digital economy, it is apparent that an effective national AI strategy represents a competitive advantage in the Age of AI. Consequently, it is unlikely that nations would altruistically assist other nations in formulating strategies that might undermine their own competitive edge. Hence, the race for AI dominance necessitates each nation to secure its position in the swiftly evolving AI landscape.”

“It’s true that AI can mimic the human brain, but it can also outperform us mere humans by discovering complex patterns that no human being could ever process and identify.”

“But he had expressed to Mme. du Chatelet the hope that a way out might lie in applying philosophy to history, and endeavoring to trace, beneath the flux of political events, the history of the human mind. 'Only philosophers should write history,' he said. 'In all nations, history is disfigured by fable, till at last philosophy comes to enlighten man; and when it does finally arrive in the midst of darkness, it finds the human mind so blinded centuries of error, that it can hardly undeceive it; it finds ceremonies, facts and monuments, heaped up to prove lies.' 'History,' he concludes, 'is after all nothing but a pack of tricks which we play upon the dead;' we transform the past to suit our wishes for the future, and in the upshot 'history proves that anything can be proved by history.”

“We have seen segments of our Government, in their attitudes and action, adopt tactics unworthy of a democracy, and occasionally reminiscent of totalitarian regimes. We have seen a consistent pattern in which programs initiated with limited goals, such as preventing criminal violence or identifying foreign spies, were expanded to what witnesses characterized as "vacuum cleaners", sweeping in information about lawful activities of American citizens. The tendency of intelligence activities to expand beyond their initial scope is a theme which runs through every aspect of our investigative findings. Intelligence collection programs naturally generate ever-increasing demands for new data. And once intelligence has been collected, there are strong pressures to use it against the target.”

“Hacking described his research interest ‘in classifications of people, in how they affect the people classified, and how the affects on the people in turn change the classifications.’ Hacking labeled the subjects of these studies ‘moving targets’ because researchers’ investigatory efforts change them in ways so ‘they are not quite the same kind of people as before.”

“Considering the Scottish census through these theoretical lenses, where the census is not a neutral representation of a reality but a tool to construct a governable population, raises questions as to whether the census is an exercise in knowledge construction or a tool to bolster the state’s capacity to manage its population. These two objectives are not exclusive: improved knowledge likely facilitates the design of more efficient ways to coerce, control and discipline people who live within a state's jurisdiction. However, if the construction of knowledge is no longer the primary purpose of a census, this throws into doubt then need for a census to collect accurate information that authentically represents the lives and experiences of the people about whom the data relates.”

“The cleaning of data can remove its queerness: paper surveys where respondents score out the response options ‘female’ and ‘male’ and write their own answer, interview recordings were participants flip the focus and ask questions of the researcher, census returns where LGBTQ couples identify themselves as ‘married’ even when governments do not recognize same sex marriage. These examples demonstrate how collection methods can fail to restrict how participants share data about their lives and experiences. … cleaning, which involves the removal of data that breaks established rules”

“Something drew her attention. Her eyes narrowed as if to bring a distant object into focus. "I have a new sense,” she realized. “I feel myself standing on the surface of a vast library.” She turned in a circle, scanning the featureless blue plain. “I feel the presence of well-ordered data.” She reached out, and to Kona’s surprise, a curving side path appeared in response to her beckoning gesture. Files sprang up on the path, each one a thin, vertical pane large enough to step into. The first file in the stack showed a branching map of the library with all its major sections neatly labeled.”

“A lot can be learned from the big companies of today. Companies like Amazon have revolutionized logistics, companies like Tesla have revolutionized sustainable systems, companies like Microsoft and Google have revolutionized data mining and data distribution, companies like Maersk have revolutionized Supply Chains, companies like Gardein and Beyond Meat have revolutionized food. Every company can serve as a case study of some kind with various lessons that can be learned.”

“Connected devices and the internet of things will monitor our activities and upload that data. This will be factored into an algorithm to generate an overall score, which can increase or decrease in real-time. People will be able to see their overall fitness going up and down as they’re working out at the gym or eating takeaway pizza and watching Netflix.”