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AWS re:Invent 2025 - Accelerating data engineering with AI Agents for AWS Analytics (ANT215)
AWS re:Invent 2024 - Accelerating healthcare & life sciences innovation with generative AI (HLS201)
AWS re:Invent 2025 - Next-Generation Data Management — Insights at Scale with Agentic AI in Pharma
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Last Updated: October 27, 2026
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Summary
In this session, discover best practices for modernizing manufacturing applications - such as SCADA, Historian, and MES - and ... Incremental upgrades will no longer cut it. The insurers gaining ground today are fundamentally rethinking how Data engineers face critical time sinks: writing code to build analytics pipelines from scratch and upgrading Apache Spark ... Healthcare and life sciences are harnessing the power of generative Organizations need to process and extract data from a large number and often, a wide variety of documents that are critical to their ... Commercial Databases have been around for decades and hold the most valuable data of enterprises. Bringing them to the Cloud ... Join us for an exciting deep dive into cutting-edge EverCommerce, a parent company of 50+ independently operated brands, began their data journey with decentralized, ... Analytics and data science are at an inflection point. The first wave of agentic analytics—HITL (human-in-the-loop), goal-driven ... In this session, learn how Porsche has adopted advanced AbbVie's GAIA Platform is a novel enterprise document authoring solution. Beginning in R&D, GAIA is successfully generating ... Automakers generate massive volumes of data across connected vehicles, customer channels, dealer networks, and engineering ... Pharmaceutical companies are under pressure to move from data overload to trusted, actionable insights. This session explores ...
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