Fast-track compliance with NIST AI RMF
Watch on demand
In today's fast-paced AI and ML landscape, managing risks is crucial for maintaining ethical, safe, and responsible systems. The National Institute of Standards and Technology's (NIST) AI Risk Management Framework (RMF), released in 2023, offers government agencies a comprehensive set of guidelines for effective AI governance. This webinar provides a concise overview of how to implement the NIST RMF at scale, to ensure your AI initiatives are secure, compliant, and aligned with mission-driven goals.
Watch this on-demand webinar and discover how to:
- Operationalize the NIST AI RMF to tackle governance challenges effectively.
- Apply the NIST framework’s core functions to align AI initiatives with organizational values and compliance requirements.
- Adopt the NIST AI RMF and enhance model transparency — and set the stage for ongoing regulatory compliance.
This webinar is ideal for AI/ML leaders, data scientists, risk officers, compliance managers, IT platform owners, and policymakers ensuring AI systems meet ethical and regulatory standards.
- AI/ML leaders and data scientists in government agencies
- Risk officers and compliance managers
- IT platform owners and decision-makers involved in AI initiatives
- Policymakers focused on AI governance and ethical considerations
Featured Speakers
Dr. Andrea Lowe
Customer Success Engineer for Public Sector, Domino
Dr. Andrea Lowe is a data scientist, engineering leader, and research scientist who leads customer success for government agencies, at Domino. She has led project collaborations with both industry and government, and her recent projects involved statistical analysis of large data sets to evaluate the effectiveness of a rodent-size transcranial magnetic stimulator.
Dr. Dylan Storey
Senior Director, Data Science Services, Domino
Dr. Dylan Storey is a former research scientist in microbial food safety, plant pathology, and genomics with a PhD in Life Sciences. He has been a Data Scientist and data science advisor to Fortune 50 companies.
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.
