Retire Technical Debt and Open Up Data Science For All
This second session will explore 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
Making a cameo, here are our trio of speakers:
Chief Data Scientist Prolifics
SME, Data Science and AI
IBM
Global Sales Leader
Prolifics
You won’t want to miss this one! Click HERE to get registered. (You will be redirected to an IBM registration page. )