Machine learning needs lots of data, and the best place for all that data and the systems that use it is in the cloud Topics Spotlight: New Thinking about Cloud Computing ...

Though compute, storage, and networking continue to be the revenue spinners for cloud vendors, it is Machine Learning that is becoming the focal point of the contemporary cloud.

The next generation cloud powered by Machine Learning will offer services for building applications based on cognitive computing, predictive analytics, intelligent Internet of Things, interactive ...

Google this week announced a new cloud-based Machine Learning platform for developers or businesses that’ll allow users to access the company’s artificial intelligence technology, reports ...

D-Wave's Murray Thom shared his company's quantum computing applications: about 50% optimization, 20% AI and ML, 10% materials science, and 20% other.

Recently honored with the Technology Excellence Innovation Award by Bridge Africa Technologies, Nneoma’s contributions highlight how cloud computing and machine learning are tools of transformation.

Like any born-in-the-cloud company, it was seeking a better way to contain its monthly cloud computing bills. And so, in the cofounders' next act, this was the problem they trained their sights on.