IBM has revamped its watsonx.data data management platform to assist enterprises in overcoming challenges posed by unstructured data, crucial for realizing the potential of agentic and generative AI. According to Edward Calvesbert from IBM, focusing solely on generative AI applications without addressing foundational data issues hinders AI initiatives. The new platform combines an open data lakehouse with data fabric capabilities for enhanced governance and data lineage tracking, providing a streamlined control pane for managing diverse datasets across multiple cloud formats, helping enterprises leverage data more effectively.
Many enterprises are not addressing the root problem. They are focused solely on the generative AI application layer, rather than the essential data layer underneath.
The new updates comprise new capabilities inside watsonx.data that bring together an open data lakehouse with data fabric capabilities, such as data lineage tracking and governance.
The combo of an open data lakehouse along with data fabric capabilities should help IBM customers simplify their data stack.
Agentic AI or applications underpinned by it that can complete tasks without manual intervention while learning from new data are attracting the attention of enterprises.
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