Optimizing energy operations with generative AI: TC Energy and Pariveda
summary
TC Energy builds a cloud data foundation on AWS to deliver measurable business outcomes: a multiyear program with 11 prioritized use cases, a Value Realization Office, and an operations data lake. GenAI generates ILI inspection memos using AWS Bedrock called from the pipeline via Glue + Lambda + Step Functions and stores outputs in S3, cutting engineer summarization time and saving about $500k/year. A Capital Project Bundling data product finds overlapping work to reduce construction costs.
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chapters (17)
- 0:00Introduction and speakers
- 0:44TC Energy overview
- 1:28Pariveda overview
- 2:11TC Energy's data strategy shift
- 3:57Partnership journey with Pariveda
- 5:22Collaboration and team integration
- 6:25Value realization office and use cases
- 7:27Capital Project Bundling case study
- 8:28AWS role in data lake architecture
- 9:11Initial project goals and evolution
- 11:16Generative AI project introduction
- 13:03ILI tech memos automation
- 14:07Investment and future GenAI use cases
- 14:49Business-led engagement success
- 16:12Early days and lessons learned
- 16:33Start small with prompt engineering
- 17:15Business savvy and future potential
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