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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:
