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Lessons from Deploying AI at Enterprise Scale | ft ServiceTitan, Indeed & Twilio
Manage episode 454954719 series 3617425
Galileo द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Galileo या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
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:
- Follow Atin Sanyal
- Follow Mehmet Murat Ezbiderli
- Follow Grant Ledford
- Follow Vinnie Giarrusso
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