Learning Lab: IBM Lab Govern AI anywhere- key considerations
Information
As enterprises speed towards embedding AI into their operations, ensuring they can govern workloads consistently across all their environments will be key for avoiding ethical, legal and regulatory violations. But how do you deploy an automated AI governance platform that ensures compliance, manages risk, and governs your AI workloads wherever they reside? Join IBM for this interactive lab as we show you step by step how to build governance across your AI lifecycle.
Speakers:
Ian Francis, Senior Product Manager - watsonx.governance at IBM
Ian boasts a robust background with more than 15 years in Governance Risk and Compliance, cultivated through diverse roles at IBM collaborating with key global Financial Institutions. In his current capacity as a Senior Product Manager working on IBM watsonx.governance, he focuses on AI and Model Governance Risk and Compliance, driving IBM’s vision in this domain. With a rich tapestry of global experiences, Ian plays a vital role in shaping IBM’s strategy on AI Governance. Originally hailing from Sydney, Australia, Ian graduated with a Bachelor’s degree in Accounting from Macquarie University. He now resides in Norwich, England, with his wife and two sons.
Hans Petter Dalen, EMEA Business Leader EMEA for AI for Business, IBM
Hans Petter (”HP”) Dalen, leads IBM’s AI Governance initiative in EMEA. A 23 year old IBM veteran, he has been in the middle of several transformative technological innovations. Originally a Lotus Development employee, he later moved into analytics, advanced analytics and big data analytics.
He started his professional career in customer support in a Telco in Norway 30 years ago, and has client success always at the front of his mind. With AI Governance, he is looking to future proof clients from requirements relative to regulatory compliance, protect reputations as well as providing a competitive advantage.
Patrick Onu, Senior Data & AI Technical Specialist
