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 ...

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 ...

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 ...

Increasingly, startups across the spectrum are looking to artificial intelligence (AI) to help them solve business problems and drive efficiency. The numerous benefits of building AI capability in ...

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 ...

Mark Twain once said, “Data is like garbage. You’d better know what you are going to do with it before you collect it.” This gives data science teams food for thought. The go-to method in data ...

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 ...

Bryan Cross grew up about an hour northwest of Chicago in the suburban town of Barrington, Illinois. His father would sometimes bring home six copies of that day’s New York Times crossword puzzle—one ...

We have several teams that include more than 200 engineers and nearly 100 data science experts working on projects in ML, NLP, Information Retrieval and Search at Bloomberg. We are experts in software ...

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 ...