Targeting AI AWS developing high-performing autonomous AI agents
Mar 25, 2025
In this discussion, Deepak Singh, Vice President at AWS with extensive experience in open source and developer tools, shares his insights on the evolution of AI. He highlights the distinctions between traditional, generative, and agentic AI, emphasizing how agentic AI automates routine tasks in software development. The talk delves into the importance of high-quality data for enhancing AI performance and AWS's innovative platforms like SageMaker and Bedrock, which drive advancements in creating high-performing autonomous AI agents.
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AI Types
- Traditional AI uses statistical modeling, while generative AI uses probabilistic modeling to create new information.
- Agentic AI builds upon foundation models by being goal-seeking and semi-autonomous.
Java Transformation at Amazon
- Amazon used an agent to upgrade 30,000 Java packages, saving $260 million and 4,500 years of work.
- The agent's code was accepted without changes 79% of the time, showcasing its efficiency.
Agentic AI Best Practices
- Curate high-quality data lakes with proper access controls and policies for optimal AI agent performance.
- Use tools like Bedrock guardrails to prevent toxic or harmful content and ensure responsible AI usage.