Join this Chat with the Lab session on May 14, 2025 at 11 AM EDT | 5 PM CEST to discover how IBM is extending our data integration framework-traditionally used for structured data-to unstructured data, with new capabilities for ingestion, transformation, and vectorization to power RAG use cases.
In the era of agentic AI, leveraging enterprise data is more critical than ever-yet only about 1% is used in AI applications. This is largely due to the rapid growth of unstructured data, which now accounts for 90% of enterprise data-a vast, untapped goldmine. Extracting value from it remains challenging, often requiring manual work, custom code, and third-party tools, making the process slow and hard to scale. Join us for this webinar to explore how IBM's new support for Unstructured Data Integration.
Key takeaways:
- Collect diverse unstructured data types from a variety of disparate sources.
- Leverage pre-built functional and quality operators to transform raw unstructured data into AI-ready data from a low/no code UI with drag and drop functionality.
- Populate supported vector databases with embeddings to be used for RAG use cases.
Webinar live date: May 14, 2025
Webinar live time: 11 AM EDT | 5 PM CEST
Webinar registration URL: https://www.ibm.com/account/reg/subscribe?formid=urx-53634
Speakers:
- Sophie Jin, Product Manager, IBM Data Integration
- Jojo Joseph, Product Architect, IBM Data and Al
- Deepa Yarangatta Ramamurthy, Senior Software Engineer, IBM
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Prabhu Duraiswamy
Demand Strategist
IBM Data and AI
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