Cloud Pak for Data

The Path Forward on Scaling AI and Data Science: Part 1: Accelerate AI lifecycles - innovate, operationalize and govern 

Wed January 20, 2021 12:30 PM


The Path Forward on Scaling AI and Data Science

Online Event Series on Accelerating Digital Transformation and AI-Powered Innovation

AI and hybrid cloud are crucial technologies that help organizations navigate a different normal. Business leaders are adopting new ways of predicting and optimizing outcomes and scaling up AI-powered innovation. To identify and act on new insights and patterns across the evolving business landscape, they are rapidly tackling challenges in data, models, architectures, talent, and processes. How do we unify the tools and govern the AI lifecycle?  In what ways can we ensure trust and compliance across all data, AI and open source assets? In this online event series, IBM and IBM business partners will discuss AI-powered solutions, best practices and lessons learned to speed time to production, drive productivity and growth, and manage risks and compliance on a modern information architecture on IBM Cloud Pak for Data.  

Register now and explore your path forward for digitally re-inventing and future proofing your data and AI strategy.


Part 1:  Accelerate AI lifecycles - innovate, operationalize and govern

In  part 1 of the online series, we will explore the best practices in AI lifecycles, human-machine workflows, and security and governance for successful AI implementation. We will cover:

  • Modern AI lifecycle and governance - demystify what happens when new data science projects start
  • What does a human do and what does a machine do?  How do domain experts and data science work together?
  • Best practices in governance - understand interpretability, security and vulnerabilities from lifecycle
  • Expert roundtable on skill sets, cultures, hybrid cloud deployment and much more


Michael Grant, Vice President of Services, Anaconda

Chris Penn, Chief Data Scientist, Trust Insights 

Julianna Delua, Data Science and AI SME, IBM Data and AI


0 Favorited
0 Files