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