We believe much of the artificial intelligence industry is chasing the wrong prize. Frontier model vendors such as Anthropic PBC and OpenAI Group PBC, they may have shifted their commercial focus toward enterprise customers, but they’ve not changed their fundamental architecture. Specifically, they’re still trying to concentrate ever more intelligence inside a generalized model. We ...

At this week’s TM Forum DTW Ignite conference in Copenhagen, industry leaders gathered to evaluate how agentic AI — the autonomous artificial intelligence systems capable of executing complex workflows within environments such as telecommunications — are transforming network operations and customer experiences. Understanding the pace of this adoption is critical for telecommunications operators seeking to maintain ...

Every time users belatedly discover that an artificial intelligence feature has been drawing on their data in ways they did not fully grasp, the reaction is often an instinctive sense of violation – of trust, consent and privacy. Accusations and outrage have always followed potentially invasive AI integrations, with examples ranging from email content used ...

Adding more artificial intelligence agents to the workflow doesn’t make an enterprise smarter. In fact, it can make operations harder to manage. The problem is not the capabilities of individual agents but how well they work together. Many enterprises are moving from experimenting with single AI agents to a multi-level approach that spans functions such ...

Enterprises are rapidly pushing AI projects into production in the race for higher revenues – but it’s not without cost and security risks. Private cloud is emerging as a bedrock for AI infrastructure as businesses seek control, cost predictability, security, and compliance. Broadcom Inc. is positioning its VMware Cloud Foundation platform as the secure, cost-effective ...

As enterprises scale initiatives, the cost of developing, deploying and operating generative artificial intelligence models rises significantly. The shift toward AI agents can further increase costs becausse of poor architecture, limited operational maturity and weak governance. Information technology leaders can adopt these 10 best practices for optimizing costs, enabling them to achieve quicker business value ...

Agentic artificial intelligence is being misread as a set of separate battles – for example, Snowflake Inc. versus Databricks Inc., copilots versus agents, model makers versus application vendors. We believe the larger fight is converging around a single question: Who owns the new intelligent client and the AI back end that makes it useful? The ...

IBM Corp. is positioning itself to be a foundational player in enterprise AI. The computing giant brings mainframe hardware, hybrid computing assets and a legacy of strong governance to the AI infrastructure conversation. Those strengths have put IBM near the center of enterprise AI discussions, according to theCUBE Research’s Dave Vellante. “In our opinion, IBM ...

This research note is based on four primary inputs: 1) An assessment of Snowflake Inc.’s announcements at this year’s Summit; 2) Information captured in private analyst and journalist sessions with Snowflake executives; 3) Interactions and queries with Snowflake Inquirer, a proprietary artificial intelligence tool provided to journalists and analysts that contains announcement material and other current ...

Agentic artificial intelligence governance depends upon humans to keep agentic AI from going off the rails. However, putting humans in the loop is woefully insufficient. Here are the problems – and perhaps some solutions – to the human-in-the-loop problem. Since the dawn of automation, humans have always had roles to play: setting them up and ...