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The adoption of AI tools, platforms, and services is accelerating as businesses, seeking enhanced operational efficiency and smarter decision-making, embrace the promise of automation and data-driven insights. At the same time, many organizations are still struggling with a wide variety of data challenges that are preventing them from unlocking the full potential of AI technologies. Legacy infrastructure woes, skills gaps, data silos, data quality issues, poor governance practices, security and compliance concerns – these are all significant hurdles to being AI-ready.
Addressing these challenges requires new approaches to data architecture and data management. The shift to cloud-based solutions and scalable data frameworks that many companies embarked upon in recent years provides a solid first step. However, more work is needed to ensure the availability, reliability, and usability of data for AI initiatives. Mirroring the current state of data management is the rise of new tools aimed at various facets: data integration and orchestration, preparation and wrangling, discovery and classification, collaboration and sharing, observability and monitoring, access and protection, and the list goes on.
To dive into the emerging technologies and practices essential to modernizing your data management strategy for the AI era, DBTA is kicking off 2025 with a special roundtable webinar on January 16th.
Reserve your seat today!
Register Now to attend the webinar Modernizing Your Data Management Strategy for the AI Era. Don't miss this live event on Tuesday, January 16th, 11 AM PT / 2 PM ET.
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