Episodes

  • Architecting Reliable Agentic AI | Cisco’s Giovanna Carofiglio on the AGNTCY Collective
    Jul 9 2025

    The Internet of Agents is rapidly taking shape, necessitating innovative foundational standards, protocols, and evaluation methods for its success.

    Recorded at Cisco's office in San Jose, we welcome Giovanna Carofiglio, Distinguished Engineer and Senior Director at Outshift by Cisco. As a leader of the AGNTCY Collective (an open-source initiative by Cisco, Galileo, LangChain, and many other participating companies), Giovanna outlines the vision for agents to collaborate seamlessly across the enterprise and the internet. She details the collective's pillars, from agent discovery and deployment using new agentic protocols like Slim, to ensuring a secure, low-latency communication transport layer. This groundbreaking work aims to make distributed agentic communication a reality.

    The conversation then explores the critical role of observability and evaluation in building trustworthy agent applications, including defining an interoperable standard schema for communications. Giovanna highlights the complex challenges of scaling agents to thousands or millions, emphasizing the need for robust security (agent identity with OSF schema) and predictable agent behavior through extensive testing and characterization. She distinguishes between protocols like MCP (agent-to-tool) and A2A (agent-to-agent), advocating for open standards and underlying transport layers akin to TCP.


    Chapters:

    00:00 Introduction

    01:00 Overview of Agent Interoperability

    02:20 What is AGNTCY

    03:45 Agent Discovery and Composition

    04:38 Agent Protocols and Communication

    05:45 Observability and Evaluation

    07:00 Metrics and Standards for Agents

    09:45 Challenges in Agent Evaluation

    14:15 Low Latency and Active Evaluation

    23:34 Synthetic Data and Ground Truth

    25:07 Interoperable Agent Schema

    26:37 MCP & A2A

    30:17 Future of Agent Communication

    32:03 Security and Agent Identity

    34:37 Collaboration and Community Involvement

    38:28 Conclusion


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    AGNTCY Collective: agntcy.org

    Connect with Giovanna on LinkedIn

    Learn more about Outshift: outshift.cisco.com


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Agent Leaderboard

    Show more Show less
    41 mins
  • Taste Is The New Moat | Intangible CEO on Brand, Distribution, and Winning in AI
    Jul 2 2025

    When AI makes creating content and code nearly free, how do you stand out? Differentiation now hinges on two things: unique taste and effective distribution.

    This week, Bharat Vasan, founder & CEO at Intangible and a "recovering VC," explains why the AI landscape compelled him to return to founding. He sees AI sparking a new creative revolution, similar to the early internet, that makes it easier than ever to bring ideas to life. The conversation delivers essential advice for founders, revealing why relentless shipping is the ultimate clarifier for a business and why resilience, not just intelligence, is the key to survival.

    Drawing from his experience on both sides of the venture table, Bharat breaks down the brutally competitive VC landscape and shares Intangible's mission: to simplify 3D creative tools with AI, finally bridging the gap between human vision and machine power. Listeners will gain insights on company building, brand strategy, and why customer obsession is the ultimate moat in the AI age.


    Chapters:

    00:00 Introduction

    00:45 From Founder to VC and Back

    03:17 Human Creativity in the Age of AI

    07:50 The Role of Taste and Distribution

    11:49 Building a Brand in the AI Era

    16:17 The Venture Capital Landscape for AI Startups

    20:11 Advice for Founders in the AI Boom

    23:55 Incumbents vs. Startups

    27:10 The New Generation of Innovators

    29:19 Pirate Mentality in Startups

    30:00 Building a Brand

    36:28 Shipping and Resilience

    41:49 Customer Obsession

    46:58 The Vision for Intangible

    51:52 Conclusion


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    Connect with Bharat on LinkedIn.

    Follow Bharat on X.

    Learn more about Intangible at intangible.ai.


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠Agent Leaderboard

    Show more Show less
    53 mins
  • The Emerging AI Agent Stack | CrewAI’s João Moura
    Jun 25 2025

    Unlocking AI agents for knowledge work automation and scaling intelligent, multi-agent systems within enterprises fundamentally requires measurability, reliability, and trust.

    João Moura, founder & CEO of CrewAI, joins Galileo’s Conor Bronsdon and Vikram Chatterji to unpack and define the emerging AI agent stack. They explore how enterprises are moving beyond initial curiosity to tackle critical questions around provisioning, authentication, and measurement for hundreds or thousands of agents in production. The discussion highlights a crucial "gold rush" among middleware providers, all racing to standardize the orchestration and frameworks needed for seamless agent deployment and interoperability. This new era demands a re-evaluation of everything from cloud choices to communication protocols as agents reshape the market.

    João and Vikram then dive into the complexities of building for non-deterministic multi-agent systems, emphasizing the challenges of increased failure modes and the need for rigorous testing beyond traditional software. They detail how CrewAI is democratizing agent access with a focus on orchestration, while Galileo provides the essential reliability platform, offering advanced evaluation, observability, and automated feedback loops. From specific use cases in financial services to the re-emergence of core data science principles, discover how companies are building trustworthy, high-quality AI products and prepare for the coming agent marketplace.


    Chapters:

    00:00 Introduction and Guest Welcome

    02:04 Defining the AI Agent Stack

    03:49 Challenges in Building AI Agents

    05:52 The Future of AI Agent Marketplaces

    06:59 Infrastructure and Protocols

    09:05 Interoperability and Flexibility

    20:18 Governance and Security Concerns

    24:12 Industry Adoption and Use Cases

    25:57 Unlocking Faster Development with Success Metrics

    28:40 Challenges in Managing Complex Systems

    30:10 Introducing the Insights Engine

    30:33 The Importance of Observability and Control

    32:33 Democratizing Access with No-Code Tools

    35:39 Ensuring Quality and Reliability in Production

    41:08 Future of Agentic Systems and Industry Transformation


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    Joao Moura: LinkedIn | X/Twitter

    CrewAI: crewai.com | X/Twitter


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    ⁠⁠⁠⁠⁠⁠⁠⁠Agent Leaderboard

    Show more Show less
    50 mins
  • AMD's Vision for an Open Ecosystem | Anush Elangovan & Sharon Zhou
    Jun 18 2025

    How is an open ecosystem powering the next generation of AI for developers and leaders?

    Broadcasting live from the heart of the action at AMD's Advancing AI 2025, Chain of Thought host Conor Bronsdon welcomes AMD’s Anush Elangovan, VP of AI Software, and Sharon Zhou, VP of AI. They unpack AMD's groundbreaking transformation from a hardware giant to a leader in full-stack AI, committed to an open ecosystem. Discover how new MI350 GPUs deliver mind-blowing performance with advanced data types and why ROCm 7 and AMD Developer Cloud offer Day Zero support for frontier models.

    Then Conor welcomes Sharon Zhou, VP of AI at AMD, to discuss making AMD's powerful software stack truly accessible and how to drive developer curiosity. Sharon explains strategies for creating a "happy path" for community contributions, fostering engagement through teaching, and listening to developers at every stage. She shares her predictions for the future, including the rise of self-improving AI, the critical role of heterogeneous compute, and the potential of "vibes based feedback" to guide models. This vision for democratizing access to high-performance AI, driven by a deep understanding of the developer journey, promises to unlock the next generation of applications.


    Chapters:

    00:00 Live from AMD's Advancing AI 2025 Event

    00:30 Introduction to Anush Elangovan

    01:38 The MI350 GPU Series Unveiled

    04:57 CDNA4 Architecture Explained

    07:00 The Future of AI Infrastructure

    08:32 AMD's Developer Cloud and ROCm 7

    11:50 Cultural Shift at AMD

    14:48 Open Source and Community Contributions

    18:35 Software Longevity and Ecosystem Strategy

    22:19 AI Agents and Performance Gains

    27:36 AI's Role in Solving Power Challenges

    28:11 Thanking Anush

    28:42 Introduction to Sharon Zhou

    29:45 Sharon's Focus at AMD

    30:39 Engaging Developers with AMD's AI Tools

    31:24 Listening to the AI Community

    33:56 Open Source and AI Development

    45:04 Future of AI and Self-Improving Models

    48:04 Final Thoughts and Farewell


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    Anush Elangovan: LinkedIn

    Sharon Zhou: LinkedIn

    AMD Official Site: amd.com

    AMD Developer Resources: AMD Developer Central


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠⁠⁠⁠⁠

    ⁠⁠⁠⁠⁠⁠⁠Agent Leaderboard

    Show more Show less
    49 mins
  • Your Key to AI Success is Hiding in Plain Sight | Cohesity's Greg Statton
    Jun 11 2025

    What if the most valuable data in your enterprise—the key to your AI future—is sitting dormant in your backups, treated like an insurance policy you hope to never use?

    Join Conor Bronsdon with Greg Statton, VP of AI Solutions at Cohesity, for an inside look at how they are turning this passive data into an active asset to power generative AI applications. Greg details Cohesity’s evolution from an infinitely scalable file system built for backups into a data intelligence powerhouse, managing hundreds of exabytes of enterprise data globally. He recounts how early successes in using this data for security and anomaly detection paved the way for more advanced AI applications. This foundational work was crucial in preparing Cohesity to meet the new demands of generative AI.

    Greg offers a candid look at the real-world challenges enterprises face, arguing that establishing data hygiene and a cross-functional governance model is the most critical step before building reliable AI applications. He shares the compelling story of how Cohesity's focus on generative AI was sparked by an internal RAG experiment he built to solve a "semantic divide" in team communication, which quickly grew into a company-wide initiative. He also provides essential advice for data professionals, emphasizing the need to focus on solving core business problems.


    Chapters:

    00:00 Introduction

    00:36 The Role of Gaming in AI Development

    05:43 Personal Gaming Experiences

    08:26 The Intersection of AI and Gaming

    12:53 Importance of Data in Game Development

    19:03 User Testing and QA in Gaming

    25:49 Postmortems and Telemetry

    27:21 Beta Testing and Data Preparedness

    29:18 Traditional AI vs Generative AI

    31:31 Challenges of Implementing AI in Games

    35:57 Leveraging AI for Data Analytics

    39:41 Automated QA and Reinforcement Learning

    42:01 AI for Localization and Sentiment Analysis

    44:21 Future of AI in Gaming


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    Company Website: cohesity.com

    LinkedIn: Gregory Statton


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠⁠⁠⁠

    ⁠⁠⁠⁠⁠⁠Agent Leaderboard


    Show more Show less
    46 mins
  • Why Gamers Paved the Way for AI | Databricks' Carly Taylor
    Jun 4 2025

    What if the pixels and polygons of your favorite video games were the secret architects of today's AI revolution?

    Carly Taylor, Field CTO for Gaming at Databricks and founder of ggAI, joins host Conor Bronsdon to illuminate the direct line from video game innovation to the current AI landscape. She explains how the gaming industry's relentless pursuit of better graphics and performance not only drove pivotal GPU advancements and cost reductions, but also fundamentally shaped our popular understanding of artificial intelligence by popularizing the very term "AI" through decades of in-game experiences. Carly shares her personal journey, from a childhood passion for games like Rollercoaster Tycoon ignited while playing with her mom, to becoming a data scientist for Call of Duty.

    The discussion then confronts a long-standing tension in game development: how the critical need to ship titles often relegates vital game data to a secondary concern, a dynamic Carly explains is now being reshaped by AI. She details the inherent challenges game studios face in capturing and leveraging telemetry, from disparate development processes to the lengthy pipeline required for updates. Carly illuminates how modern AI, particularly generative AI, presents a massive opportunity for studios to finally unlock their vast data troves for everything from self-service analytics and community insight generation to revolutionizing QA processes. This pivotal intersection of evolving game data practices and new AI capabilities is poised to redefine how games are made, understood, and ultimately experienced.


    Chapters

    00:00 Introduction

    00:28 The Role of Gaming in AI Development

    05:35 Personal Gaming Experiences

    08:18 The Intersection of AI and Gaming

    12:45 Importance of Data in Game Development

    18:55 User Testing and QA in Gaming

    25:41 Postmortems and Telemetry

    27:13 Beta Testing and Data Preparedness

    29:10 Traditional AI vs Generative AI

    31:23 Challenges of Implementing AI in Games

    35:49 Leveraging AI for Data Analytics

    39:33 Automated QA and Reinforcement Learning

    41:53 AI for Localization and Sentiment Analysis

    44:13 Future of AI in Gaming


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    Connect with Carly on LinkedIn

    Subscribe to Carly's Substack: Good At Business


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠⁠⁠

    ⁠⁠⁠⁠⁠Agent Leaderboard

    Show more Show less
    49 mins
  • The 2025 AI Shift: From Chat to Task Completion & Reliable Action | Galileo Founders
    May 28 2025

    AI in 2025 promises intelligent action, not just smarter chat. But are enterprises prepared for the agentic shift and the complex reliability hurdles it brings?

    Join Conor Bronsdon on Chain of Thought with fellow co-hosts and Galileo co-founders, Vikram Chatterji (CEO) and Atindriyo Sanyal (CTO), as they explore this pivotal transformation. They discuss how generative AI is evolving from a simple tool into a powerful engine for enterprise task automation, a significant advance driving the pursuit of substantial ROI. This shift is also fueling what Vikram observes as a "gold rush" for middleware and frameworks, alongside healthy skepticism about making widespread agentic task completion a practical reality.

    As these AI systems grow into highly complex, compound structures—often incorporating multimodal inputs and multi-agent designs—Vikram and Atin address the critical challenges around debugging, achieving reliability, and solving the profound measurement problem. They share Galileo's vision for an AI reliability platform designed to tame these intricate systems through robust guardrailing, advanced metric engines like Luna, and actionable developer insights. Tune in to understand how the industry is moving beyond point-in-time evaluations to continuous AI reliability, crucial for building trustworthy, high-performing AI applications at scale.


    Chapters

    00:00 Welcome and Introductions

    01:05 Generative AI and Task Completion

    02:13 Middleware and Orchestration Systems

    03:17 Enterprise Adoption and Challenges

    05:55 Multimodal AI and Future Plans

    08:37 AI Reliability and Evaluation

    11:08 Complex AI Systems and Developer Challenges

    13:45 Galileo's Vision and Product Roadmap

    18:59 Modern AI Evaluation Agents

    20:10 Galileo's Powerful SDK and Tools

    21:24 The Importance of Observability and Robust Testing

    22:27 The Rise of Vibe Coding

    24:48 Balancing Creativity and Reliability in AI

    31:26 Enterprise Adoption of AI Systems

    36:59 Challenges and Opportunities in Regulated Industries

    42:10 Future of AI Reliability and Industry Impact


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    Website: galileo.ai

    Read: Galileo Optimizes Enterprise–Scale Agentic AI Stack with NVIDIA


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠⁠

    ⁠⁠⁠⁠Agent Leaderboard

    Show more Show less
    45 mins
  • Amplitude's AI Playbook: Data, Talent Integration & Agentic Futures | Wade Chambers
    May 21 2025

    As AI redefines how products are built and customers are understood, what are the core strategies engineering leaders use to drive innovation and create lasting value?

    Join Conor Bronsdon as he welcomes Wade Chambers, Chief Engineering Officer at Amplitude, to explore these critical questions. Wade shares how Amplitude is leveraging AI to deepen customer understanding and enhance product experiences, transforming raw data into actionable insights across their platform. He also discusses their approach to navigating constant change while building an adaptable, high-performing engineering culture that thrives in the current AI landscape.

    The conversation explores Amplitude's strategy for building a sustainable AI advantage through proprietary data, deep domain expertise, and robust feedback loops, moving beyond superficial AI applications. Wade offers insights on fostering an AI-ready engineering culture through empowerment and clear alignment, alongside exploring the exciting potential of agentic AI to create proactive, intelligent copilots for product teams. He then details Amplitude’s successful approach to integrating specialized AI talent, drawing key lessons from their acquisition of Command AI.


    Chapters

    00:00 Introduction and Guest Welcome

    01:55 Understanding and Acting on Data with AI

    06:42 Amplitude's Unique Position in the Market

    08:36 Differentiation and Competitive Advantage

    09:58 Incorporating Customer Feedback

    12:48 Evaluating AI Outcomes

    17:21 Agentic AI and Future Prospects

    21:38 Acquiring and Integrating AI Talent

    28:44 Building a Culture of Innovation

    37:21 Advice for Leaders and Individual Contributors

    43:26 The Future of AI in the Workplace

    45:38 Closing Thoughts


    Follow the hosts

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Follow Today's Guest(s)

    LinkedIn: Wade Chambers

    Website: amplitude.com


    Check out Galileo

    ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠⁠⁠⁠

    ⁠⁠⁠Agent Leaderboard


    Show more Show less
    47 mins