The most value for businesses will come from domain-specific models, pre-trained on proprietary data, says Taimur Rashid, Managing Director of GenAI Innovation and Delivery at AWS.
In this episode, you can learn how Taimur advices cutomers on identifying successful GenAI use cases, what's key in the design phase, and how his teams are monitoring the models in the production, maintaining their accuracy over time.
Taimur also shares about a GenAI use case with Schneider Electric, that resulted in considerable productivity gains.
🔔 Timestamps:
00:00 - Introduction
0:54 - Guest Introduction
2:09 - Leading AWS's Generative AI Innovation Team
2:53 - Supporting Customers in Building Secure AI Applications
4:48 - Understanding Gen AI's Potential and Limitations
6:25 - Ensuring End-to-End Security in Gen AI Applications
8:34 - Checklist for Ethical AI Design
12:18 - Monitoring Model Drift in AI Applications
14:09 - Engaging Customers with AI Education and POCs
20:52 - Schneider Electric's Knowledge Chatbot Success
23:50 - Advice for Aspiring AI Enthusiasts
26:34 - Wrap up
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