Bharat Sandhu of Amazon Web Services AWS is the lead for artificial intelligence AI and machine learning marketing. The conversation takes place at What's Next with Amazon Web Services 2026 in San Francisco. Sandhu discusses Bedrock, managed agents and Agent Core with host Rob Strechay of theCUBE Research. They explain how Bedrock's managed agents and OpenAI harnesses accelerate time to production by aligning models with optimized harnesses. The discussion covers model-harness coupling, inferencing architecture, and agentic application patterns such as coding agents, customer-facing enhancements and supply chain scenarios, as well as approaches to building and managing agentic workflows. Key takeaways include starting with clear business use cases, measuring return on AI ROAI at the product level, and piloting thoughtfully. Analysts emphasize token-cost unpredictability and propose levers such as prompt caching, intelligent routing, reserved capacity and model distillation to manage spend. The conversation provides practical guidance for enterprise teams evaluating agentic AI solutions on cloud platforms.
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Bharat Sandhu, AWS | What's New with AWS
May 7, 2026
Rob Strechay
Dir./Principal Analyst & Host theCUBE Research
HOST
Bharat Sandhu of Amazon Web Services AWS is the lead for artificial intelligence AI and machine learning marketing. The conversation takes place at What's Next with Amazon Web Services 2026 in San Francisco. Sandhu discusses Bedrock, managed agents and Agent Core with host Rob Strechay of theCUBE Research. They explain how Bedrock's managed agents and OpenAI harnesses accelerate time to production by aligning models with optimized harnesses.

The discussion covers model-harness coupling, inferencing architecture, and agentic application patterns such ...
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