Key Points There is a definite need to integrate big data and Lean Six Sigma in the future.  There is far more data available ...

A key problem they address early on in their training is the need for soft skills, which are essential for conveying the value of big data analytics. Finding the insights is one thing, being able ...

But a longstanding challenge within Big Data must be overcome in order for ... healthcare and pharmaceutical contexts. MD Anderson’s problems with IBM Watson serve as a notable example.

If your dataset is so voluminous, or it arrives at such high velocity, or it contains such great variety, that you must reimagine the way you use it—you have a big data problem. Google, for example, ...

What Big Data simply does, Sharma explained, is help resolve scaling problems. But where the real challenges are, “Big Data is a solution looking for a problem.” One of the key early tenets of ...

new ICTs for data collection, and the explosion in the availability of big data, together with the emergence of artificial intelligence and the Internet of Things -- is already transforming society.

and use these to define the more general problem or problems that arise. Some of these cases will come from existing studies in data-driven discrimination (Sweeney 2013; Datta 2015; Angwin 2016).

With so much riding on big data today, problems with data quality and reliability can be as disruptive to business operations as an IT system outage—or worse because the damage may not be ...

The nation’s only dedicated privacy agency is attracting international attention over its California rules that could have ...

and build expertise in solutions to a broad range of big data problems. Housed in the College of Engineering, the interdisciplinary big data minor includes courses from computer science and ...

Huawei currently controls 34.8% of the AI smartphone market in China, while Xiaomi has 26.9% according to new data, giving the ... where Apple faces regulatory problems. To release generative ...