Mitigating AI risks
A governance strategy for new threats, technologies, and new regulations
Save your seat today
October 22, 2024 | 9am PT / 12pm ET / 5pm BST
In today's rapidly evolving AI landscape, emerging regulations and advancements in GenAI are intensifying the need for robust AI governance (AIG) 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 AIG frameworks that evolve with the enterprise.
Join our webinar to listen to our expert panelists as they share insights on:
- Defining AI governance: What it is and why it matters
- Overcoming regulatory hurdles: Navigating the complex AI landscape
- Emerging best practices: Trends shaping the future of AI governance
- Operationalizing AI governance: Embedding and enforcing Responsible AI policies
- Streamlining governance: Making good governance achievable and painless
- Future-proofing strategies: Ensuring your AI governance foundation adapts to future challenges such as emerging GenAI technology, emerging regulations like the EU AI Act, and more...
Why attend?
- Learn how to reduce risks while accelerating innovation with a governance framework.
- Discover strategies for aligning AI governance with your unique business needs.
- Get actionable advice on creating a seamless AIG strategy that evolves with your enterprise.
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.
