Events

Join us and Robert Nishihara, Co-founder and CEO at Anyscale, to discuss reliability challenges, building the right AI infrastructure, and implementing the latest practices in productionizing GenAI at scale.

Join our CEO, Krishna Gade, for a panel discussion on "Gen AI Policy, Regulation, Security, Data and Governance"

Join our boardroom discussion on "Building Trust into LLM Applications: Productize Generative AI with Confidence," led by our Principal AI Scientist, Joshua Rubin.

Stop by our booth B19

Join us for a demo-driven webinar where we will show major product upgrades to the Fiddler AI Observability Platform for predictive and generative models.

Join Fiddler's Principal AI Scientist, Joshua Rubin, at CDO where he will be speaking on a panel “Unlocking the Value of Generative AI: Strategies for Quantifying ROI in Business Investments.”

Join us and Pradeep Javangula, Chief AI Officer at RagaAI, to learn what metrics to measure the performance of LLMs, approaches to evaluating and monitoring hallucination metrics, and tips for testing LLM applications.

Our CEO and Co-founder, Krishna Gade, will be on a Panel with Ron Bodkin, Lukas Biewald, and Elena Lenena. They will discuss "Closed vs Open Source."

Krishna Gade, Fiddler CEO and Co-founder will be speaking on "How to Operationalize Large Language Models Safely and Responsibly"

Join this AI Explained to explore AI safety, focusing on scalable oversight, robustness, and interpretability. Learn how to align AI with human values for a safer future.

Join Insight for a Bias in AI conversation led by Managing Director George Mathew, whose investment focus is in AI, ML, Analytics, and Data. He will be joined in conversation with Maxim Serebryakov the CEO of Sanas, Krishna Gade the CEO of Fiddler, and Brienne Adams an Assistant Professor of African American Studies and Technology at Georgetown University.

Come talk to us at table #40!

Kathy Baxter, Principal Architect of Responsible AI & Tech at Salesforce, will discuss the ethical AI practices organizations can follow to minimize potential harms and maximize the social benefits of AI.