Data Centric Quotes

By equating the human experience with data patterns, Dataism undermines our main source of authority and meaning, and heralds a tremendous religious revolution, the like of which has not been seen since the eighteenth century. In the days of Locke, Hume and Voltaire humanists argued that ‘God is a product of the human imagination’. Dataism now gives humanists a taste of their own medicine, and tells them: ‘Yes, God is a product of the human imagination, but human imagination in turn is the product of biochemical algorithms.’ In the eighteenth century, humanism sidelined God by shifting from a deo-centric to a homo-centric world view. In the twenty-first century, Dataism may sideline humans by shifting from a homo-centric to a data-centric view. The

Dataism may sideline humans by shifting from a homo-centric to a data-centric view.

Once we abandon the homo-centric world view in favour of a data-centric world view, human health and happiness may seem far less important.

In the eighteenth century, humanism sidelined God by shifting from a deo-centric to a homo-centric world view. In the twenty-first century, Dataism may sideline humans by shifting from a homo-centric to a data-centric view.

Yes, God is a product of the human imagination, but human imagination in turn is just the product of biochemical algorithms.’ In the eighteenth century, humanism sidelined God by shifting from a deo-centric to a homo-centric world view. In the twenty-first century, Dataism may sideline humans by shifting from a homo-centric to a data-centric view.

Much of this data-centric history still haunts us today. We live in an era that presumes Big Data to be the solution to all our problems. Courses in “data science” are proliferating in our universities, and jobs for “data scientists” are lucrative in the companies that participate in the “data economy.” But I hope with this book to convince you that data are profoundly dumb.

By equating the human experience with data patterns, Dataism undermines our main source of authority and meaning, and heralds a tremendous religious revolution, the like of which has not been seen since the eighteenth century. In the days of Locke, Hume and Voltaire humanists argued that ‘God is a product of the human imagination’. Dataism now gives humanists a taste of their own medicine, and tells them: ‘Yes, God is a product of the human imagination, but human imagination in turn is the product of biochemical algorithms.’ In the eighteenth century, humanism sidelined God by shifting from a deo-centric to a homo-centric world view. In the twenty-first century, Dataism may sideline humans by shifting from a homo-centric to a data-centric view. The Dataist revolution will probably take a few decades, if not a century or two. But then the humanist revolution too did not happen overnight. At first, humans kept on believing in God, and argued that humans are sacred because they were created by God for some divine purpose. Only much later did some people dare say that humans are sacred in their own right, and that God doesn’t exist at all. Similarly, today most Dataists say that the Internet-of-All-Things is sacred because humans are creating it to serve human needs. But eventually, the Internet-of-All-Things may become sacred in its own right.

CIOs must shift focus from internal customers to external customers. IT must shift focus from providing service to providing value. Everything is moving to the cloud; CIOs must assume a “cloud first” mentality. Innovation is more than new technology—it's also about change management, enabling new processes, and hiring the best talent. CIOs need to work closely with the business to create innovation that drives real value. CEOs expect more from their CIOs than ever before. CIOs must deliver on a higher set of expectations, or they will be replaced. CIOs must shift from a measurement mentality to a value creation mentality. CIOs must shift focus from historical data to real-time information. Today, IT is all about creating real business value. All business is digital. All business. When IT has a bad day, the business has a bad day. IT still matters. It matters to the top line and to the bottom line. IT matters more than ever because IT is everywhere in the business. Without IT, you're out of business. CIOs need to step up, raise the bar, and elevate their game to meet the challenges of the big shift. I hope you enjoy reading this book and find it a useful addition to your library. It's the fourth book I've authored on the topic of

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.

Don’t Make Me Think by Steve Krug is an excellent introduction to web usability. We passionately believe it should be on the school curriculum. Designed for Use by Lukas Mathis is less entertaining than Don’t Make Me Think, but it covers more usability concepts. If this book list seems worryingly short, that’s a testament to how much ground this book covers. The Visual Display of Quantitative Information by Edward R. Tufte contains many examples of complex data shown in beautifully elegant ways. Don’t be put off by its technical-sounding title. It’s fun to read.

The President received a briefing days before WikiLeaks released the data to the public. The Russian Spy agency had been ordered to make a bold move, hack the American elections, and engage in political warfare to elect Donald Trump President. Whether he knew it or not Trump was the perfect candidate for a political asset. Former KGB officer Yuri Bezmenov said the KGB targeted “Ego-centric people who lack moral principles—who are either too greedy or who suffer from exaggerated self-importance. These are the people the KGB wants and finds easiest to recruit.

Our senses seem to deceive us into thinking that we live in the material world. Our world is not based on objectively existing particles of matter but it is based on waves of potentiality, that is pure information. Our world is informational. Think of it as an observer-centric virtual reality. Your consciousness is, rather, an optimized meta-algorithmic data stream, a sequence of conscious instants.

The AMDDATAWIZ business intelligence consulting is designed to create a repeatable, data-centric solution framework for you business problems. Amddatawiz.com

Biological databases impose particular limitations on how biological objects can be related to one another. In other words, the structure of a database predetermines the sorts of biological relationships that can be 'discovered'. To use the language of Bowker and Star, the database 'torques,' or twists, objects into particular conformations with respect to one another. The creation of a database generates a particular and rigid structure of relationships between biological objects, and these relationships guide biologists in thinking about how living systems work. The evolution of GenBank from flat-file to relational to federated database paralleled biologists' moves from gene-centric to alignment-centric to multielement views of biological action.

To be data centric, is to be person centric.

falsely believing that the answers to all scientific questions reside in the data, to be unveiled through clever data-mining tricks. Much of this data-centric history still haunts us today. We live in an era that presumes Big Data to be the solution to all our problems. Courses in “data science” are proliferating in our universities, and jobs for “data scientists” are lucrative in the companies that participate in the “data economy.” But I hope with this book to convince you that data are profoundly dumb.