The impending explosion of AI adoption is contingent on the availability of high-quality, reliable, and governed data. As the volume and variety of data continue to grow, organizations must rethink their approach to data management, focusing on building an open and trusted data foundation that can support the needs of AI applications. This requires a balance of technology, people, and processes, as well as a focus on data quality, governance, and accessibility. By adopting a hybrid cloud strategy, leveraging open and interoperable data formats, and prioritizing data quality and governance, organizations can unlock the full potential of their data and create value from it.
Unlocking the Power of AI – Building a Trusted Data Foundation
By 2025, stored data will grow 250% across on-prem and across cloud platforms, making it harder for organizations to access, govern, manage and use all their data for AI effectively.
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