ZDNet

Data science is a team sport: How to choose the right players

Building deep and ongoing data science capabilities isn't an easy process: it takes the right people, processes and technology. Finding the right people for the right roles is an ongoing challenge, as ...
ZDNet

Here's what you need to make IBM's Data Science Elite Team

IBM has tripled the size of its Data Science Elite Team, launched in 2018, to nearly 100 data scientists that have been deployed on more than 130 projects. According to Seth Dobrin, Ph.D., vice ...
Forbes

Building And Leading An Effective Data Science Team: The Power Of Communication And T-Shaped Capabilities

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 ...
Built In Chicago

Hard Data, Soft Skills: How To Become a Great Data Science Leader

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 ...
InfoQ

Using Agile with a Data Science Team

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Forbes

The Data Science Talent Gap: Why It Exists And What Businesses Can Do About It

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 ...
Bloomberg L.P.

Meet the Team: Data Services Engineering

The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...