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Can AI assistants actually enhance human connection?
As Season 1 of Chain of Thought comes to a close, Conor Bronsdon and Vinnie Giarrusso (Twilio) explore the transformative potential of AI assistants in the workplace.
Discover how these assistants function as "async junior digital employees," taking on specific tasks and contributing to the organizational structure. But will AI assistants ultimately replace human connection? Vinnie argues the opposite is true, suggesting that AI can liberate employees from mundane tasks, allowing them to focus on building meaningful relationships and providing personalized experiences.
This thought-provoking conversation takes a philosophical turn as Vinnie explores how AI could revolutionize education while potentially disrupting traditional mentorship roles. He shares his vision for a future where AI democratizes information and empowers individuals to personalize their learning journey. Finally, learn how Twilio and Galileo are partnering to shape the future of AI and what this collaboration means for both companies.
Chain of Thought will be taking a break for the holidays, but we'll see you back here on January 8th for the start of Season 2!
Chapters:
01:24 Twilio's AI Agent Platform
06:34 Ensuring Accuracy and Trustworthiness
09:49 Challenges and Failure Modes
17:39 Future of Fully Autonomous Agents
22:18 Human-AI Collaboration and Mentorship
31:24 Education and Democratization of Information
32:58 Partnership with Galileo
39:54 Conclusion and Season Wrap-Up
Show Notes:
Watch Productionize 2.0 Check out Galileo Twilio Alpha: twilioalpha.com OWASP GenAI: genai.owasp.org Read: Dominik Kundel on Junior/Senior relationship with AI Follow Conor Bronsdon Follow Vinnie Giarrusso -
This week, a panel of experts (Mehmet Murat Ezbiderli, ServiceTitan; Grant Ledford, Indeed; and Vinnie Giarrusso, Twilio) join Atin Sanyal (CTO, Galileo) and Conor Bronsdon (Developer Awareness, Galileo) to explore the challenges and opportunities of deploying GenAI at enterprise scale in a conversation that's a wake-up call for any business leader looking to harness the power of AI.
Together, Atin & Conor break down key considerations like performance, cost, and model selection, emphasizing the need for robust evaluation frameworks and a shift in developer mindset.
Atin then sits down with our panel of AI engineering experts to discuss their firsthand experiences with enterprise AI, including the trade-offs of building AI systems, the evolving tools and frameworks available, and the impact these technologies are having on their organizations.
Chapters:
01:27 Enterprise Scale Deployment
05:17 Cost, Performance, and Model Selection
08:59 Building and Integrating GenAI Systems
15:26 Emerging Enterprise Use Cases
18:12 Predictions for AI in 2025
27:28 Panel Discussion: Deploying AI at Enterprise Scale
31:19 Gen AI Solutions and Challenges
33:12 Building & Deploying Traditional Infrastructure vs GenAI Infrastructure
34:36 How to Assemble Your GenAI Stack
40:39 Today's Best GenAI Use Cases
48:15 Enterprise AI Trends for 2025
50:36 Closing Remarks and Future Outlook
Show Notes:
Watch Productionize 2.0 Check out Galileo Follow Atin Sanyal Follow Mehmet Murat Ezbiderli Follow Grant Ledford Follow Vinnie Giarrusso -
Saknas det avsnitt?
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As AI agents and multimodal models become more prevalent, understanding how to evaluate GenAI is no longer optional – it's essential.
Generative AI introduces new complexities in assessment compared to traditional software, and this week on Chain of Thought we’re joined by Chip Huyen (Storyteller, Tép Studio), Vivienne Zhang (Senior Product Manager, Generative AI Software, Nvidia) for a discussion on AI evaluation best practices.
Before we hear from our guests, Vikram Chatterji (CEO, Galileo) and Conor Bronsdon (Developer Awareness, Galileo) give their takes on the complexities of AI evals and how to overcome them through the use of objective criteria in evaluating open-ended tasks, the role of hallucinations in AI models, and the importance of human-in-the-loop systems.
Afterwards, Chip and Vivienne sit down with Atin Sanyal (Co-Founder & CTO, Galileo) to explore common evaluation approaches, best practices for building frameworks, and implementation lessons. They also discuss the nuances of evaluating AI coding assistants and agentic systems.
Chapters:
00:00 Challenges in Evaluating Generative AI
05:45 Evaluating AI Agents
13:08 Are Hallucinations Bad?
17:12 Human in the Loop Systems
20:49 Panel discussion begins
22:57 Challenges in Evaluating Intelligent Systems
24:37 User Feedback and Iterative Improvement
26:47 Post-Deployment Evaluations and Common Mistakes
28:52 Hallucinations in AI: Definitions and Challenges
34:17 Evaluating AI Coding Assistants
38:15 Agentic Systems: Use Cases and Evaluations
43:00 Trends in AI Models and Hardware
45:42 Future of AI in Enterprises
47:16 Conclusion and Final Thoughts
Show Notes:
Watch Productionize 2.0 Check out Galileo Follow Vikram Chatterji Follow Chip Huyen Follow Vivienne Zhang -
The “ROI of AI” has been marketed as a panacea, a near-magical solution to all business problems.
Following that promise, many companies have invested heavily in AI over the past year and are now asking themselves, “What is the return on my AI investment?”
This week on Chain of Thought, Galileo’s CEO, Vikram Chatterji joins Conor Bronsdon to discuss AI's value proposition, from the initial hype to the current search for tangible returns, offering insights into how businesses can identify the right AI use cases to maximize their investment.
Next, we’re joined by a panel of AI experts to discuss the ROI of Enterprise AI, featuring Alex Klug, Head of Product, Data Science & AI at HP; Sriram Palapudi, Sr. Dir, ML Platform Engineering at ServiceNow; and Jay Subrahmonia, Global MD for AI Research & Products at Accenture.
Together, they explore effective implementation strategies, how to measure the returns of AI adoption in the enterprise, and why AI's ROI isn't always just about the bottom line.
Chapters:
00:00 Introduction
01:50 Current State of AI Investments
03:59 Challenges and Solutions in AI Implementation
08:30 Identifying and Prioritizing AI Use Cases
10:53 Ensuring Trust and Explainability in AI
15:29 Measuring ROI and Efficiency Gains
21:10 Panel Discussion Begins
21:54 Trust and Risk Management at HP
23:27 Accenture's Approach to Operationalizing AI
26:06 ServiceNow's Trade-offs and Prioritization
31:17 Measuring the success of AI for customers
36:29 Frameworks and Best Practices
40:57 Conclusion and Final Thoughts
Show Notes:
Watch Productionize 2.0 Check out Galileo Follow Vikram Chatterji Follow Alex Klug Follow Sriram Palapudi Follow Jay Subrahmonia -
Will 2025 be the year open-source LLMs catch up with their closed-source rivals? Will an established set of best practices for evaluating AI emerge?
This week on Chain of Thought, we break out the crystal ball and give our biggest AI predictions for 2025. Listen as Sara Hooker, VP of Research at Cohere and Head of Cohere for AI predicts a trend towards smaller, more optimized AI models; Craig Wiley, Senior Director of Product, Mosaic AI at Databricks, dives into the future of multimodal AI; and Galileo’s CEO, Vikram Chatterji, shares his predictions, including the rise of open-source LLMs.
Chapters:
00:00 Introduction
02:01 Vikram's top 3 predictions
06:19 AI and nuclear energy
08:30 Giving power back to the people
13:46 Craig's predictions
20:46 The "era of toolification"
30:38 Sara's predictions
35:07 AI safetyShow Notes:
Watch Productionize 2.0 Check out Galileo Follow Sara Hooker Follow Craig Wiley Follow Vikram Chatterji -
AI agents have quickly emerged as the next ‘hot thing’ in AI, but what constitutes an AI agent and do they live up to the hype?
Join Brian Raymond, founder & CEO at Unstructured.io, Bob van Luijt, co-founder & CEO at Weaviate, and João Moura, founder at crewAI as they discuss the shift to agentic workflows, dissect their architecture, and tackle real-world challenges in agent deployment.
From data management tips to generative feedback loops, this episode is your essential guide to operationalizing agents effectively.
Chapters:
00:00 Defining AI Agents
01:16 Components of Agentic Architecture
02:16 Challenges and Solutions in Agent Deployment
03:58 Data Management and Quality Issues
05:23 Operationalizing Agents in Production
06:56 API and Security Considerations
09:04 Multimodal Information and Agentic Workflows
12:42 Future of Agentic Workflows
20:20 Best Practices for Agentic Strategies
22:42 Final Thoughts and Conclusion
Show Notes:
Watch Productionize 2.0 Check out Galileo Follow Yash Sheth co-founder & COO - Galileo Follow Brian Raymond founder & CEO - Unstructured.io Follow Bob van Luijt co-founder & CEO - Weaviate Follow João Moura founder - crewAI -
From ChatGPT's search engine to Google's AI-powered code generation, artificial intelligence is transforming how we build and deploy technology.
In this inaugural episode of Chain of Thought, the co-founders of Galileo explore the state of AI, from open-source models to establishing trust in enterprise applications. Plus, tune in for a segment on the impact of the Presidential election on AI regulation. The episode culminates with an interview of May Habib, CEO of Writer, who shares practical insights on implementing generative AI at scale.
Chapters:
00:00 Introduction to Chain of Thought Podcast
01:27 Big News in AI: ChatGPT and Anthropic
06:34 Open Source vs Proprietary AI
12:17 The Importance of Trust in AI
20:12 Challenges in AI Development and Deployment
22:07 The Role of Human Input in AI Development
28:45 The Future of AI Regulation
34:41 Interview with May Habib co-founder & CEO at Writer
40:01 What’s Writer’s secret sauce?
43:31 Challenges in productionizing GenAI
48:08 Conclusion
Show Notes:
Watch Productionize 2.0 Check out Galileo Follow Vikram Follow Yash Follow Atin Follow Conor Follow May -
We are living in the age of AI. It's transforming everything around us, from the way we work and communicate, to how we solve global challenges.
But for many, AI still feels like a black box.
Introducing Chain of Thought, the podcast for software engineers and leaders that demystifies artificial intelligence.
We’ll be joined by AI innovators, tech founders, and expert researchers such as Cohere’s Sara Hooker.
Join us as we unravel actionable strategies and practical techniques for building effective GenerativeAI applications.
Discover how AI is being productionized at companies like HP, Twilio and Databricks, as each week we’ll discuss the rapid-evolving AI industry, exploring its potential to create a more productive world, and build a better, trustworthy future.
Subscribe now to Chain of Thought wherever you get your podcasts.
Chain of Thought. Trace the logic of innovation.
