Agent Wars: The Hype, Hope, and Hidden Risks with Nate B. Jones
In this episode of AI Explained, we are joined by Nate B. Jones, AI strategist.
He explores high-level advice for organizations, technical ideas such as prompting and application architecture, and the current state of agent adoption. Key topics include challenges in building production-ready agents, architectural decisions, and ensuring ROI from these agents.
-------- Â
56:06
--------
56:06
AI Observability and Security for Agentic Workflows with Karthik Bharathy
In this episode of AI Explained, we are joined by Karthik Bharathy, General Manager, AI Ops & Governance for Amazon SageMaker AI at AWS.Â
He discusses the critical aspects of AI security and observability for agentic workflows. He covers the evolution of AI Ops, end-to-end observability, human oversight, the current state of AI in enterprises, and the ways agentic AI systems are transforming business operations. He also dives into the challenges of implementing AI security, evaluating AI decisions, and ensuring transparency and compliance.
-------- Â
44:01
--------
44:01
GenAI Use Cases and Challenges in Healthcare with Dr. Girish Nadkarni
In this episode of AI Explained, Dr. Girish Nadkarni from Icahn School of Medicine at Mount Sinai.Â
He discusses the implementation and impact of AI, specifically generative AI, in healthcare. He covers topics such as clinical implementation, risk prediction, the interplay between predictive and generative AI, the importance of governance and ethical considerations in AI deployment, and the future of personalized medicine.
-------- Â
39:47
--------
39:47
GRC in Generative AI with Navrina Singh
In this episode of AI Explained, we are joined by Navrina Singh, Founder and CEO at Credo AI.
We will discuss the comprehensive need for AI governance beyond regulated industries, the core principles of responsible AI, and the importance of AI governance in accelerating business innovation. The conversation also covers the challenges companies face when implementing responsible AI practices and dives into the latest regulations like the EU AI Act and state-specific laws in the U.S.Â
-------- Â
56:43
--------
56:43
Inference, Guardrails, and Observability for LLMs with Jonathan Cohen
In this episode of AI Explained, we are joined by Jonathan Cohen, VP of Applied Research at NVIDIA.Â
We will explore the intricacies of NVIDIA's NeMo platform and its components like NeMo Guardrails and NIMS. Jonathan explains how these tools help in deploying and managing AI models with a focus on observability, security, and efficiency. They also explore topics such as the evolving role of AI agents, the importance of guardrails in maintaining responsible AI, and real-world examples of successful AI deployments in enterprises like Amdocs. Listeners will gain insights into NVIDIA's AI strategy and the practical aspects of deploying large language models in various industries.
AI Explained is a series hosted by Fiddler AI featuring industry experts on the most pressing issues facing AI and machine learning teams.
Learn more about Fiddler AI: www.fiddler.ai
Australia