Modernizing data architecture with data products in asset management
summary
Modern cloud data stack for asset management that actually ships: hundreds of gigabytes from thousands of sources are normalized and enriched into a single format, with Nexla handling diverse connectors and custom transformations and metadata; unstructured inputs (PDFs, earnings calls) are transcribed and parsed with AWS Transcribe and Textract, summarized via LLMs and vectorized for semantic search, powering a Transcriber for earnings calls, report linking on the customer portal, lineage tracking, and automated pipelines at scale.
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chapters (10)
- 0:00Introduction and speakers
- 1:29Challenges in asset management data
- 3:14Data architecture and products
- 5:01Generative AI and unstructured data
- 7:12Practical use cases for investors
- 10:20Investor role evolution with AI
- 12:48Cloud technologies in use
- 14:55Nexla for data ingestion
- 16:21Private credit data solutions
- 18:27Session summary and closing
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