Domino Data Science Blog

Lisa Stapleton

Lisa Stapleton is a technology writer and editor in San Jose, CA. She has written and edited for Infoworld, InformationWEEK, LinuxInsider.com, and many other business and technical publications. She is now Domino's Content Director.

Data Science Innovators

What’s the Pharmaverse, and How Do Data Science Innovators Use It to Streamline Drug Approvals?

When it comes to the pharmaceutical industries, machine learning, AI, and statistical computing environments (SCEs) often receive the lion’s share of media attention and seize the popular imagination in coverage that focuses mostly on technology aimed at finding interesting chemical candidates for the next breakthrough cure. But there’s a second, far more rarely covered role of data science in the quest for new cures, one that Andy Nicholls, GSK’s senior director and head of statistical data sciences, discusses inThe Data Science Innovator’s Playbook.

By Lisa Stapleton3 min read

Enterprise MLOps

Considering a Job Change? Here’s Must-read Advice from 3 Top Data Science Leaders & Innovators

If you’re working in data science and are feeling like making a job change, here are some things top data science innovators say to consider as you look for a new opportunity or plan your next career move. Their career advice–and much more–is captured in the new ebook, The Data Science Innovator’s Playbook, from Domino Data Lab.

By Lisa Stapleton8 min read

Enterprise MLOps

Ray Co-creator Robert Nishihara: How Easy Distributed Computing Changes Everything in Data Science

What if you wanted to do something really ambitious in data science–something like designing an innovative new search engine? Today, that would be a daunting task, and you’d probably need a big, highly qualified team of data scientists and programmers to bring your innovation to life. And you’d need months, if not years, to finish it.

By Lisa Stapleton3 min read

Perspective

Top Innovator John Thompson: Why Managing Analytics Teams & Data Scientists Is a Unique Problem

Has the management of data science teams kept up with the meteoric rise of the discipline? A recent Domino Data Lab ebook, The Data Science Innovator’s Playbook, explores new approaches and thinking on the problem, from top data science innovators who have had a hand in building some of the world’s most successful teams. Some of them say that managing data science and analytics is a distinct, new problem that demands fresh approaches and rethinking old ideas learned in managing other types of teams, such as IT, operations personnel, and software developers.

By Lisa Stapleton4 min read

Perspective

NVIDIA’s Mona Flores: How Medical AI and Federated Learning Power Innovation

What if machine learning and data scattered around the world held the keys to the cures for a variety of rare or new diseases? Until recently, it was often nearly impossible to use that data, due in part to the data privacy restrictions in place around the world. That’s starting to change, thanks to federated learning and the innovative work of doctors such as Mona Flores, head of medical AI at NVIDIA.

By Lisa Stapleton4 min read

Enterprise MLOps

What the Rise of Data Science in Insurance Says About the Profession–and How It’s Changing

How do you build a data science capability into a powerful force for making decisions about virtually all facets of your business? And how do you recruit, train, organize, and retrain members of your team, in a field where competition for talent is intense and growing? These are just a couple of the questions that Glenn Hofmann, chief analytics officer at New York Life Insurance Company, has confronted and mastered in his tenure there.

By Lisa Stapleton4 min read

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