One of the big challenges of developing a machine learning project can be simply getting enough relevant data to train the algorithms. That’s where Superb AI, a member of the Y Combinator Winter 2019 ...

It turns out there’s a fatal flaw in most companies’ approach to machine learning, the analytical tool of the future: 87% of projects do not get past the experiment phase and so never make it into ...

The hype about machine learning (ML) is warranted. Machine learning is not just making things easier for the companies that are taking advantage of it. It’s also changing the way they do business. For ...

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

WALTHAM, Mass.--(BUSINESS WIRE)--Trinity Life Sciences, a leader in global life sciences solutions, is sharing findings from its latest TGaS Landscape report entitled, “Perspectives on Use of ...

Cloudera has launched Applied ML Prototypes, complete machine learning projects for use cases that give data scientists a running start on development. The AI and ML deployments are well underway, but ...

Project Maven has already deployed in five or six locations across Africa and the Middle East. Here's what officials are learning from those deployments so far. After having deployed to as many as six ...