How to accelerate business model transformation with generative AI
summary
Blast Motion integrates sensor data, a decade of labeled motion analytics and biomechanist rules into a generative AI pipeline that produces individualized training programs using Amazon Bedrock and Titan foundation models, LangChain for dialogue, and custom time series models trained on 300 million swings. Persistent prototypes on AWS with early access tooling and funded pilots, running ~60 POCs, shipping a frontend and APIs, and reporting developer tooling that yields 40% productivity improvement in pilots.
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chapters (9)
- 0:00Introduction to Gen AI
- 1:49Enterprise Gen AI strategy
- 6:35Blast Motion case study
- 11:17Persistent Systems partnership
- 13:27Digital assistant for enterprises
- 14:31AI-assisted pair programming
- 15:58Legacy modernization with AI
- 17:49Industry-specific Gen AI use cases
- 18:33Q&A and next steps
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