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SAPA Data Science Community

2026 January  Webinar

Building Agentic AI with Amazon Nova Act and Strands Agents in Multi-Agent Pattern 

About

HIGHLIGHTS

This session will dive into practical Agentic AI applications through compelling real-world case studies. First, We’ll introduce Amazon Nova Act, an automating complex UI workflows, and its use cases. Next, discover a mathematics teaching AI agent using Strands Agents framework for personalized video creation. In practice, multi-agent patterns are widely adopted, and this session introduces 4 key multi-agent patterns with real-life examples showcasing practical implementation: agent as a tool, swarm, graph, and workflow.

Event Time: Jan 13, 2026 08:00-9:30 PM Eastern Time (US and Canada)

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Be sure to register in advance to secure your spot. After registering, you'll receive a confirmation email details on how to join the meeting. We can't wait to see you there!

About

SPEAKERS

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Jacky Wu

Sr. Solutions Architect,

Amazon Web Services

 

Jacky Wu is a senior Solutions Architect at AWS with almost 20 years of experience in technology and capital markets. Currently, Jacky focuses on Generative AI at the strategic level, helping customers establish comprehensive enterprise data strategies and mine value from their critical data assets. He specializes in promoting GenAI culture within organizations and developing tailored GenAI strategies that enable enterprises to adopt AI solutions for real-world use cases and drive meaningful business transformation. Outside of work, Jacky maintains an active lifestyle through regular swimming and Bible study.

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Rohit Talluri

Sr. GenAI Specialist,

Amazon Artificial General Intelligence Lab

 

Rohit Talluri is a member of the Amazon Artificial General Intelligence Lab, where he supports product, growth, and GTM initiatives. The Amazon AGI Lab is focused on building AI systems that can do human level actions reliably. Rohit has been at Amazon for over 5.5 years, and was most recently at AWS before Amazon AGI, on the AWS Foundation Model Training & Inference team. He has broad experience in AI/ML, including ML infrastructure, foundation model development, computer-use agents, and physical AI. Outside of work, he enjoys Tennis, Golf, and building technology. Most of his time has been going to AI in Robotics.

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ABOUT US

Data science and AI are hot trending topics in many industry. The aim of SAPA Data Science community is to bring together researchers, young professionals, educators, and experts into one place, provide learning and collaboration platform for data science related topics, and drive the personal growth and career development of members.  

 

Join us on the 2nd Tuesday of every other month from 8:00 PM to 9:30 PM for complimentary educational seminars and discussions on practical data science applications. Stay tuned for upcoming topics and activities!

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Feedback

Thank you for participating in our event. We hope you had as much fun attending as we did organizing it.We want to hear your feedback so we can keep improving our logistics and content. Please fill this quick survey and let us know your thoughts (your answers will be anonymous).

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