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 examples
Leveraging AWS for real time and generative AI services
Autodesk’s journey leveraging AWS to transform architecture and deliver personalized insights
Overview of Autodesk and product portfolio
Utilizing data gathered for customers
Personalized data-driven insights for customers on Autocad and other products
Descriptive insights: providing usage data for customers
Prescriptive insights: Making recommendations to customers based on their workflows
Predictive insights: Using ML to recommend products and features
Autodesk processes 100+ billion events across all products, delivered 350+ million insights to customers, served to 3.5 million customers
Example walkthrough – Rachael
Architecture of Autodesk data and insight process
Leveraging LLMs – Sagemaker and Bedrock
Bringing it altogether
Session wrap up

Participants:

Ashish Arora – Head of Engineering & ML, Product Analytics - Autodesk
Brian Slater – Principal Solutions Architect – Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Dean King

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