Organizations are forming data science teams to take advantage of growing data volumes and advances in AI and analytics. But they can only realize the data's value if the teams have the skills and ...

Shivanku Misra is an AI expert, currently serving as Vice President overseeing enterprise advanced analytics and AI initiatives at McKesson. In the rapidly evolving field of data science, the success ...

Nicole Janssen is the Co‐founder and Co‐CEO of AltaML, a technology scale-up that elevates human potential with applied AI. At a time when we are all too familiar with the concept of supply chain ...

MOUNTAIN VIEW, Calif. — Yes, it’s true that some data scientists have left LinkedIn following a recent reorganization of these highly prized workers inside the company. But a few people holding these ...

As a health care leader or clinician, do you play an active role in your organization’s data science strategy? If not, you may miss out on important opportunities to help improve value, workflow, and ...

After years of making sense of complex information, data scientists looking to move into leadership quickly find that their career of parsing information into digestible insights isn’t over — but it ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Utilities are buying, implementing, and using data-science solutions in increasing numbers, with growing confidence, efficiency and urgency, as they face the challenges and embrace the opportunities ...

"If your competitors are applying AI, and they're finding insight that allow them to accelerate, they're going to peel away really, really quickly," Deborah Leff, CTO for data science and AI at IBM, ...

Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook. Agile programming is the most-used methodology that ...

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