Ashish Arora, Head of Engineering & Machine Learning, Product Analytics at Autodesk, shares how personalized AI-powered experiences and real-time data can drive product adoption, featuring insights into Autodesk’s transformation journey, leveraging machine learning, and delivering actionable recommendations to millions of users.Topics Include:Real-time data description and examplesLeveraging AWS for real time and generative AI servicesAutodesk’s journey leveraging AWS to transform architecture and deliver personalized insightsOverview of Autodesk and product portfolioUtilizing data gathered for customersPersonalized data-driven insights for customers on Autocad and other productsDescriptive insights: providing usage data for customersPrescriptive insights: Making recommendations to customers based on their workflowsPredictive insights: Using ML to recommend products and featuresAutodesk processes 100+ billion events across all products, delivered 350+ million insights to customers, served to 3.5 million customersExample walkthrough – RachaelArchitecture of Autodesk data and insight processLeveraging LLMs – Sagemaker and BedrockBringing it altogetherSession wrap upParticipants:Ashish Arora – Head of Engineering & ML, Product Analytics - AutodeskBrian Slater – Principal Solutions Architect – Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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