Put all your data and AI to work and get it out of silos and lakehouses
PARTNER CONTENT: In the agentic era, intelligence has to be where the agents and data are acting, not separated from it.
The accelerating adoption of AI models in enterprise workflows is creating immediate demands for more efficient data access and processing, pushing solutions that overcome data silos.
This highlights the critical challenge of operationalizing AI at scale, where data accessibility and integration directly impact the performance and utility of agentic systems.
The focus is shifting from merely collecting data in lakehouses to actively integrating and deploying it directly where AI agents can leverage it, rather than in segregated storage.
- · AI integration platforms
- · Data orchestration providers
- · Enterprises adopting agentic AI
- · Legacy data warehousing
- · Fragmented IT infrastructures
- · Companies with siloed data
Increased investment in data integration and unified analytics platforms.
Greater competitive advantage for companies that can effectively deploy context-aware AI agents across their operations.
Emergence of new business models centered on 'data-in-motion' and real-time inference at the edge.
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Read at The Register