Can Your AI Strategy Be Future-Proof? | Galileo’s Vikram Chatterji
03/05/25 • 29 min
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This week, we're sharing a special episode courtesy of 'Dev Interrupted.' Our co-host, Galileo CEO Vikram Chatterji, recently joined theDev Interrupted team for an engaging discussion on AI strategy. We were so impressed by the conversation that we wanted to share it with our audience, and they were kind enough to let us. We hope you enjoy it!
From Dev Interrupted:
"Vikram Chatterji joins Dev Interrupted’s Andrew Zigler to discuss how engineering leaders can future-proof their AI strategy and navigate an emerging dilemma: the pressure to adopt AI to stay competitive, while justifying AI spending and avoiding risky investments.
To accomplish this, Vikram emphasizes the importance of establishing clear evaluation frameworks, prioritizing AI use cases based on business needs and understanding your company's unique cultural context when deploying AI."
Chapters:
00:00 Introduction and Special Announcement
01:14 Welcome to Dev Interrupted
01:42 Challenges in AI Adoption
03:16 Balancing Business Needs and AI
06:15 Crawl, Walk, Run Approach
10:52 Building Trust and Prototyping
13:07 AI Agents as Smart Routers
13:50 Galileo's Role in AI Development
16:25 Evaluating AI Systems
25:36 Skills for Engineering Leaders
27:35 Conclusion
Follow the hosts
Follow Atin
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Follow Vikram
Follow Yash
Follow Dev Interrupted
Follow Dev Interrupted Hosts
Check out Galileo
This week, we're sharing a special episode courtesy of 'Dev Interrupted.' Our co-host, Galileo CEO Vikram Chatterji, recently joined theDev Interrupted team for an engaging discussion on AI strategy. We were so impressed by the conversation that we wanted to share it with our audience, and they were kind enough to let us. We hope you enjoy it!
From Dev Interrupted:
"Vikram Chatterji joins Dev Interrupted’s Andrew Zigler to discuss how engineering leaders can future-proof their AI strategy and navigate an emerging dilemma: the pressure to adopt AI to stay competitive, while justifying AI spending and avoiding risky investments.
To accomplish this, Vikram emphasizes the importance of establishing clear evaluation frameworks, prioritizing AI use cases based on business needs and understanding your company's unique cultural context when deploying AI."
Chapters:
00:00 Introduction and Special Announcement
01:14 Welcome to Dev Interrupted
01:42 Challenges in AI Adoption
03:16 Balancing Business Needs and AI
06:15 Crawl, Walk, Run Approach
10:52 Building Trust and Prototyping
13:07 AI Agents as Smart Routers
13:50 Galileo's Role in AI Development
16:25 Evaluating AI Systems
25:36 Skills for Engineering Leaders
27:35 Conclusion
Follow the hosts
Follow Atin
Follow Conor
Follow Vikram
Follow Yash
Follow Dev Interrupted
Follow Dev Interrupted Hosts
Check out Galileo
Previous Episode
Do I Need Agents? | Gartner’s Haritha Khandabattu
If you’re an engineering leader or CIO and haven’t already implemented agents, you’re probably being asked to. But the question you should ask yourself isn’t simply why; it’s where.
This week, Haritha Khandabattu, Senior Director Analyst for AI at Gartner, joins us to cut through the hype surrounding AI agents. She provides real-world examples of successful implementations and reveals how to avoid common pitfalls. Listen now to discover the crucial questions leaders should ask before taking the plunge, including assessing your organization's needs and identifying the right use cases.
Chapters:
00:00 The Hype and Reality of AI Agents
05:33 Challenges and Ethical Considerations of AI Agents
14:18 Evaluating AI Agents: Benchmarks and Misconceptions
22:21 Building vs. Buying AI Solutions
26:43 Collaboration Between Data and Software Engineering Teams
33:48 AI's Impact on Software Development
37:37 The Zone of Deep Productivity
40:44 Practical Takeaways for Implementing AI Agents
44:15 Conclusion and Farewell
Follow the hosts
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LinkedIn: https://www.linkedin.com/in/harithakhandabattu/
Show Notes
Check out Galileo
Next Episode
Using AI to Modernize Your Legacy Applications | MongoDB’s Rachelle Palmer
Imagine cutting your legacy code modernization timeline from years to months. It’s no longer science fiction and this week’s guest is here to tell us how.
Rachelle Palmer, Director of Product Management at MongoDB, joins hosts Conor Bronsdon and Atindriyo Sanyal, for a discussion on the groundbreaking ways AI is modernizing legacy applications.
At MongoDB, Rachelle's forward-deployed AI engineering team is tackling the challenge of transforming complex, outdated codebases, freeing developers from technical debt. She details how LLMs are automating tasks like improving documentation, test generation, and even business logic conversion, dramatically reducing modernization timelines from years to months. What once demanded teams of dozens can now be achieved with a small, highly efficient team.
Chapters:
00:00 Introduction and Host Welcome
00:58 Challenges in Modernizing Legacy Applications
02:52 Real-World Examples of Code Modernization
04:00 The Role of LLMs in Code Modernization
08:01 Measuring Success in AI-Powered Modernization
12:28 The Future of AI in Engineering
16:17 Evaluating Modernization Success
21:12 Returning to Your Startup Roots
29:07 Forward Deployed AI Engineers
35:36 Importance of Academic Research in AI
42:10 Conclusion and Farewell
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Rachelle PalmerMongoDBApplication Modernization Factory
Check out Galileo
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