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The Challenge of AI: Make your data simple & accessible

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Manage episode 244623445 series 2303811
内容由Cloud Podcast about IBM提供。所有播客内容(包括剧集、图形和播客描述)均由 Cloud Podcast about IBM 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

81% of businesses don't understand the data required for AI. 80% is locked in silos or not business-ready.

In this third episode of our mini-series on the The Challenges of AI, we chat with Matthias Funke. about the first rung of the AI Ladder - Collect. Before you can start doing AI, you need to know where your data resides across multiple clouds in a hybrid environment, the quality and value of the data, and its readiness to be ingested into analytics and AI tools. The Collect rung of the ladder addresses these challenges by employing AI models for all types of data – structured, semi or unstructured, and providing access to this data through a common SQL engine.

Don't forget to subscribe to get updates when a new episode launches

To learn more, check out: https://www.ibm.com/watson

  continue reading

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Artwork
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Manage episode 244623445 series 2303811
内容由Cloud Podcast about IBM提供。所有播客内容(包括剧集、图形和播客描述)均由 Cloud Podcast about IBM 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

81% of businesses don't understand the data required for AI. 80% is locked in silos or not business-ready.

In this third episode of our mini-series on the The Challenges of AI, we chat with Matthias Funke. about the first rung of the AI Ladder - Collect. Before you can start doing AI, you need to know where your data resides across multiple clouds in a hybrid environment, the quality and value of the data, and its readiness to be ingested into analytics and AI tools. The Collect rung of the ladder addresses these challenges by employing AI models for all types of data – structured, semi or unstructured, and providing access to this data through a common SQL engine.

Don't forget to subscribe to get updates when a new episode launches

To learn more, check out: https://www.ibm.com/watson

  continue reading

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