Scott Zoldi, Chief Analytics Officer at FICO, has authored over 100 patents in ML and AI. He discusses why AI needs to grow up fast and what orgs can do about it.
Anjana Susarla, who holds the Omura-Saxena Professorship in Responsible AI at Michigan State, discusses the different dimensions of responsible AI.
Anand Rao, Global AI Lead, PwC discusses how organizations can implement AI responsibly.
Fiona McEvoy, founder of YouTheData.com, shares her perspective on algorithmic bias, deep fakes, emotional AI, and the way that AI systems impact our behavior.
Lofred Madzou, AI Lead at the World Economic Forum, shares his experiences managing AI projects around the world and the top things to keep in mind when implementing AI.
Maria Axente, Responsible AI lead for PwC UK, shares what RAI means, why its importance is overlooked, and ways to incentivize teams to implement AI ethically.
In this episode, we’re joined by Dr. Girish Nadkarni from Icahn School of Medicine at Mount Sinai to discuss AI in healthcare, key risks, and future of AI in medicine.
In this episode, we discuss Fiddler Guardrails, a powerful new tool that proactively moderates risky LLM prompts and responses before they can cause damage.
In this episode, we discuss the methods, advantages, tradeoffs of monitoring ML metrics versus ML inferences using AI Observability.
In this episode, we discuss how to monitor the performance of LLMs in production environments and explore common enterprise approaches to LLM deployment, and more.
In this episode, we’re joined by Navrina Singh from Credo AI to explore the future of AI compliance, GRC for GenAI, and implementing responsible AI practices.
In this episode, we’re joined by Jonathan Cohen from NVIDIA. He will discuss tools for AI model deployment, security, and observability, along with the evolving role of AI agents and real-world enterprise applications.
On this episode, we’re joined by Kevin , CEO and Co-Founder at Modulos AG. Schawinski will discuss the EU AI Act’s requirements, implementing responsible AI, and more.
In this episode, we’re joined by Robert Nishihara, Co-founder and CEO at Anyscale. Nishihara will discuss reliability challenges affecting GenAI production environments and more.
In this episode, we’re joined by Pradeep Javangula, Chief AI Officer at RagaAI. Javangula will discuss what hallucinations are, metrics to measure the performance of LLMs, and more.
In this episode, we’re joined by Amal Iyer, Sr. Staff AI Scientist at Fiddler AI. Iyer will explore AI safety, focusing on scalable oversight, robustness, and interpretability.
On this episode, we’re joined by Kathy Baxter, Principal Architect of Responsible AI & Tech at Salesforce. Baxter will discuss ethical AI practices organizations can follow.
On this episode, we’re joined by Patrick Hall, Co-Founder of BNH.AI. Hall will discuss AI risk management, model governance, and the intersection of AI, law, and ethics.
On this episode, we’re joined by Chaoyu Yang, Founder and CEO at BentoML. Yang will explore key aspects of generative AI application development and deployment.
On this episode, we’re joined by Jure Leskovec, Stanford professor and co-founder at Kumo.ai. Leskovec pioneered the field of Graph Neural Networks and co-authored PyG.
On this episode, we’re joined by Parul Pandey, Principal Data Scientist at H2O.ai and co-author of Machine Learning for High-Risk Applications.
On this episode, we’re joined by Peter Norvig, a Distinguished Education Fellow at the Stanford Institute for Human-Centered AI and co-author of popular books on AI, including Artificial Intelligence: A Modern Approach and more recently, Data Science in Context.
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