{ "sessions": [ { "id": "520354", "title": "Data Contracts: Data Quality for AI", "description": "In this session, we'll dive into the world of data contracts - API-based agreements between data producers and consumers that capture the schema, semantics, distribution, and enforcement policies of the data. Learn how data contracts provide a single surface for collaboration on data in a shared language, allow the data model to evolve in an agile, iterative way, and apply data governance incrementally where it's needed for AI and ML systems. 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The best intentions and near-infinite elbow grease don't seem to move us towards our lofty new goal.\r\n\r\nYou feel encumbered by the pressures and bureaucracy of what was, as you try to bring about the future.\r\n\r\nOperating models give us a way to bridge between the multi-year strategy and the day to day execution. A way of taking a machete to the existing business architecture to mindfully organise around unlocking flow and value.\r\n\r\nIn this talk we'll go through the building blocks of designing a data operating model. The pieces you'll need to bring alignment between your executive leadership and engineering. 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Further, I will showcase how Grafana can be effectively employed for rapid historical data visualization.\r\n\r\nBy the end of this session, you will witness a practical demonstration, complete with code, illustrating how high-frequency raw data can be readily exposed to teams without investing significant engineering time in constructing complex pipelines. Gain insights that big cloud providers might prefer to keep under wraps.", "startsAt": "2023-08-22T11:40:00", "endsAt": "2023-08-22T12:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "e00e7cf2-a9fd-448c-9e47-eb4b1431a0ee" ], "categoryItems": [], "questionAnswers": [], "roomId": 35014, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "498669", "title": "Unleashing the Magic of Machines and LLMs by Mastering MLOps", "description": "MLOps combines ModelOps, DataOps, and DevOps. 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