At GTC Europe, NVIDIA launched a new data science platform for enterprise, built on RAPIDS - our solution for GPU-accelerating the end to end machine learning workflow. This platform enables an ...

Data Collection And Workflow Automation: ... It’s the use of advanced technologies, like AI and machine learning, to automate end-to-end processes across an organization.

As internally generated data becomes increasingly abundant, companies look at ways to improve internal organizational structure and operations. Jennifer Tejada (pictured), chief executive officer ...

PHOTO VIA MORNINGSTAR. Shariq Ahmad set an ambitious goal for Morningstar’s data collection team in 2019: to have at least 50 percent of its engineers working on machine learning initiatives by year’s ...

As machine learning becomes a top of mind business strategy for organizations, developers need to adapt to the changing role. Topics Spotlight: Solving Data Analytics Challenges ...

There will never be an easy “Point A” to “Point B” when it comes to machine learning (ML). Before even tackling this concept, engineers and scientists should understand they will be tweaking ...

A new approach to energy efficiency uses high tech tools to make many small adjustments rather than more costly tactics such as replacing big ticket items like windows and cooling equipment. Startups ...

An introduction to the data science workflow involving the acquisition, processing, transformation and integration of data from disparate sources having inherently different data structures, from ...