Mitigating AI risks:
A governance strategy for new threats, technologies, and new regulations
Watch now
In today's rapidly evolving AI landscape, emerging regulations and advancements in GenAI are intensifying the need for robust AI governance to reduce risks, accelerate innovation, and deliver on the full potential of AI. This webinar delves into the challenges data scientists and IT leaders face in making AI responsible, the emerging governance best practices and trends to watch, and the key drivers for establishing AI governance frameworks that evolve with the enterprise.
Join our webinar featuring industry experts and discover:
- What AI governance is and why it matters
- Trends and best practices on shaping the future of AI governance
- How to navigate the complexities of the AI landscape
- How to embed and enforce responsible AI policies
- Ways to reduce risks and accelerate innovation with a scalable governance framework
- Insights on creating an effective AI governance strategy – enabling risk mitigation, complying with regulations, and ensuring performance
Featured Speakers
Diya Wynn
Responsible AI Lead, AWS
Diya is a Responsible AI Lead at AWS who started and led customer engagement globally on Responsible AI. In 2023, she was named one of Business Insiders top 15 in Enterprise AI and top 100 in AI, one of 100 Brilliant Women in AI EthicsTM, and received the VentureBeat Women in AI - Responsible AI award. She makes Responsible AI practical and accessible. Her focus with organizations is the intentional action of building trust in AI by mitigating risks and uncovering potential unintended impacts related to its development, deployment, and its use.
Bill Hostmann
VP & Research Fellow, Dresner Advisory Services
Bill is VP and Research Fellow with Dresner Advisory Services. His area of focus includes trends in Analytic Data Infrastructures (ADI) - integrating and managing the information and information models used by BI, Advanced Analytics and CPM/PM applications. Bill has more than 20 years of product management experience at the intersection of business intelligence/analytics and data analytics infrastructure, including positions in product and general management at Gemstone Systems, Informix, and Informatica.He spent 14 years as a research analyst at Gartner, including several years as a VP and Distinguished Analyst for BI/Analytics.
Dr. Kjell Carlsson
Head of Data Science Strategy, Domino
Dr. Kjell Carlsson advises organizations on how to drive business outcomes with artificial intelligence (AI) and data science. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research where he wrote reports on topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices.
Leila Nouri
Moderator - Director of Product Marketing, Domino
Leila is the Director of Product Marketing at Domino Data Labs and leads cloud, governance, security, and responsible AI marketing. Known as an innovator and passionate team-builder, she's spent 20+ years leading successful go-to-market launches and campaigns at Amazon Web Services, Google Cloud, and tech startups in the SaaS, IoT, cybersecurity, wireless, and health IT spaces. She holds an MBA from Johns Hopkins University.
