Speaker

Ashish Agrawal

Activities

2

talks

Principal Product Manager AWS

Ashish is Co-Founder & CTO at Eudia, where he leads the development of the company’s Augmented Intelligence platform powering business transformation across the Fortune 500. Ashish brings more than two decades of experience from Google, Amazon, Apple, IBM Research, and multiple AI startups. At Amazon, Ashish shaped the technical direction of Alexa’s AI capabilities across conversation, speech, and language understanding. At Apple, Ashish helped build secure local search for services like Maps, Siri, and Safari, supporting hundreds of millions of users. Ashish also served as a senior engineering leader at Cresta, a Series C AI startup, driving innovations in real-time generative AI knowledge assistance. Previously, Ashish was an early engineer on Google Finance and contributed to several recommendation engine and AI-focused companies. Ashish holds a master’s in computer science from ETH Zurich and a bachelor’s with honors from IIIT Allahabad, and has authored numerous patents and publications in AI.

Bio from: AWS re:Invent 2024

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Microsoft Ignite 2025 1 AWS re:Invent 2024 1

Talks & appearances

2 activities · Newest first

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Building autonomous enterprise agents with reasoning

2025-11-20 · Microsoft Ignite 2025 Watch

breakout

with Naomi Moneypenny (Microsoft) , Ashish Agrawal (AWS) , Alexander Hughes (Microsoft) , Zachary Ziegler (OpenEvidence) , Jennifer Marsman (Office of the CTO)

Microsoft

This session will highlight autonomous agents powered by reasoning models. These agents can plan, execute, and adapt across tasks like lead scoring, content generation, and customer support. We’ll demo agentic workflows using these models and you will learn to build agents in Microsoft Foundry that are aligned with enterprise goals.

AWS re:Invent 2024 - AI-powered analytics with Amazon Redshift Serverless & data sharing (ANT328)

2024-12-05 · AWS re:Invent 2024 Watch

video

with Saurav Das (AWS) , Ashish Agrawal (AWS) , Praneeth Mandadi (Hilton)

Agile/Scrum AI/ML Analytics AWS Cloud Computing DWH

Amazon Redshift Serverless uses AI and ML to automatically provision and scale data warehouse capacity and deliver fast performance for demanding and unpredictable workloads. It delivers a first-class data sharing experience where you can isolate workloads and read from and write to the same Redshift databases to build multi-warehouse, data mesh architectures and simplify SQL analytics. Join this session to learn best practices and key considerations for data sharing and SQL analytics with Redshift Serverless to optimize price-performance for your most demanding analytics workloads.

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