Who will be held accountable when big data analytics discriminate in the marketplace? Nuala O’Connor, President & CEO of the Center for Democracy & Technology, explains there are no algorithms without humans.
Statistical models and data have their limits in predicting major global shifts. Decision-makers can take logical cues from some other unexpected places.
Every senior executive in every large company is on unstable ground right now. They are faced with increasingly uncertain futures and often, they don't know how to assess risk and opportunity. Brexit should be a reminder.
One of the trickiest parts of the process involves assembling the turbine’s compressor and wheels. Workers at GE Power’s plant in Greenville, South Carolina, stack the components together one at a time. Depending on the build, they heat some pieces, fit them onto the assembly and then cool them at a uniform rate, creating a tight fit that binds the pieces together.
Players who are able to make data-driven decisions will come out as winners. The struggle for data sovereignty is already in full swing; however, the fight isn’t over.
The manufacturing industry is in the throes of a major upsurge in innovation. The progressive digitalization of industry—known as Industry 4.0—is increasing the efficiency of production processes and generating additional growth. Companies that master these new digitalization rules can make better decisions, improve process integration and develop new business designs.
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We are moving toward the fourth industrial revolution, in which mobile communications, social media and sensors are blurring the boundaries between people, the Internet and the physical world.
Data is increasingly building up on who we are, who we know, where we are, where we have been and where we plan to go. Mining and analysing this data lets us understand and predict how people behave at the individual, group and global level. These swathes of new digital data are as valuable for economies and societies as they are fraught with questions about privacy.
Devising strategies to protect Big Data is as important as analyzing the information.
Big data is becoming an increasingly important part of the business plan for companies in many different industries. Analyzing large customer datasets and other kinds of data with tools like Hadoop reporting lets companies save money as well as boost revenue by targeting their marketing better, designing products to better appeal to their customers, make better predictions, and so on.