The AGI moment? Databricks' new releases zero in on support and deployment of AI agents
Major enterprise platform companies are racing to build tools for a new class of users: artificial intelligence agents. One example of this was apparent today with the latest releases from Databricks Inc. The company unveiled a new architecture - Lake Transactional/Analytical Processing - that enables AI agents to access operational and analytics workloads on a [...
Key Takeaways
- SiliconANGLE UPDATED 18:42 EDT / JUNE 16 2026 AI The AGI moment?
Databricks' new releases zero in on support and deployment of AI agents by Mark Albertson Major enterprise platform companies are racing to build tools for a new class of users: artificial intelligence agents.
- The problem is that AGI is not completely permeating our organizations.
- "None of the other existing systems can do that," Xin told the conference gathering.
"It is probably the single largest introduction we have done since the launch of Lakehouse.
- " Databricks is now powering its suite of AI co-workers with Genie Ontology , a live context layer that continuously learns from internal and external business data.
Ghodsi likened Genie Ontology to page rank algorithms used by Google Search to identify the most relevant information.
- Cost has become a significant issue as AI token usage has skyrocketed in many organizations, Ghodsi noted.
SiliconANGLE UPDATED 18:42 EDT / JUNE 16 2026 AI The AGI moment? Databricks' new releases zero in on support and deployment of AI agents by Mark Albertson Major enterprise platform companies are racing to build tools for a new class of users: artificial intelligence agents. One example of this was apparent today with the latest releases from Databricks Inc.
The company unveiled a new architecture - Lake Transactional/Analytical Processing - that enables AI agents to access operational and analytics workloads on a primary copy of data that resides in a data lake. By placing this data in the same open format, Databricks believes that agents will have the capability to observe and reason across a multitude of production databases within an enterprise and take action accordingly. It's an important milestone in the realization of artificial general intelligence or AGI, the ability of AI to match or exceed human capabilities, according to Databricks co-founder and Chief Executive Ali Ghodsi .
"We believe that AGI is already here," Ghodsi (pictured) said during his keynote remarks at the Data + AI Summit in San Francisco today. "AI does not have an intelligence problem right now. The problem is that AGI is not completely permeating our organizations.
For more details please read the original article at SiliconANGLE AI.
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