Many educational institutions maintain their own data centers. But to Jeff Olson, chief data officer and senior VP of technology strategy at the College Board, all those humming racks of servers are ...

Artificial Intelligence is rapidly transforming industries—from healthcare and finance to education and creative arts. But ...

The rise of mobile, IoT and Web applications are driving the growth of big data. One of the challenges many businesses and developers now face lies in identifying algorithms to make sense of this ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

“This is just the beginning,” Jay Yagnik, Google’s vice president of AI innovation and research, wrote in a blog post.

If you had a sense of déjà vu this week when David Heinemeier Hansson (DHH) announced that Basecamp’s and Hey’s parent company 37signals was leaving the cloud, you are not alone: The debate on the ...

To create effective machine learning and deep learning models, you need copious amounts of data, a way to clean the data and perform feature engineering on it, and a way to train them on your data in ...

The cloud as we know it is going through a massive transformation. What started as an on-demand subscription service for consuming compute, storage, and the network is no more the same. The compute ...

Almost two years ago, Google disclosed that it had built a slab of custom silicon called the tensor processing unit to improve its StreetView software’s reading of street signs, the accuracy of its ...