
Sponsored By:
Date: Monday, July 27th
Time: 1:00 PM ET
Today, 4 out of 10 organizations have moved beyond the Proof of concept (POC) phase of AI — not because the technology isn't ready, but because the path from pilot to production requires more than good models. It demands the right architecture, organizational alignment, and strategic clarity. In this session, our speakers will share what separates AI Proof of concept from AI outcomes: the common failure points, the architectural decisions that matter most, and how to build a cloud foundation that scales. Whether you're just starting out or stuck mid-deployment, you'll leave with a practical framework for turning AI potential into business results.
Key Takeaways:
1. The real difference between AI, Gen AI, and agentic AI and why it matters for your strategy
2. Why most AI pilots stall before reaching production and how modernization helps.
3. How Softchoice and AWS help organizations move from POC to enterprise-scale AI
4. What governed AI looks like in practice on AWS
5. How to build a business case for AI investment that resonates with leadership
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Rohit Gupta
Americas Partner Lead, AI and Generative AI - Amazon

Yashvi Gandhi
Cloud Architect - Softchoice

Chris Pollock
Data and AI Customer Solutions Architect - Softchoice
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