Retire Technical Debt and Open Up Data Science For All

This second session explores 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. We will discuss:

Key considerations when you decide to replatform
Architecting for the era of AI – talent, technology, process and business
Diversity of tools for diverse talent – visual data science, programmatic data science and other tooling
How to get started with Watson Studio Premium for IBM Cloud Pak for Data