Prolifics and IBM data science experts discuss getting your tech environment ready for modern data science projects and the use of artificial intelligence (AI). Our team covers key re-platforming considerations, diverse talent and diverse tools, and how to get started with Watson Studio Premium for IBM Cloud Pak for Data.
Data Science Teams Create Efficiencies for Health Insurance Provider
Data science can pull meaningful, actionable insights out of your data that can benefit your business in a big way – when it’s done correctly. Technology is obviously a major component of data science, but people and processes are equally important. If the people and processes in the “data supply chain” aren’t operating effectively, no amount of technology will give … Read More
Retire Technical Debt and Open Up Data Science for All- Webinar with IBM
This second session of a 5 part series explored the topic of replatforming your legacy tooling to be ready for modern data science and AI. To succeed in AI, in addition to implementing new capabilities, you need to retire technical debt and bring all contributors in a unified environment. Dr. Michael Gonzales, Chief Data Scientist with Prolifics, Julianna DeLua, SME … Read More