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 ...

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 ...

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 ...

As artificial intelligence agents begin to proliferate across information technology infrastructure, IT leaders are moving away from asking, “How do we monitor every alert?” to “How do we design infrastructure that can solve its own problems?” Operations teams can now deploy agents to triage alerts, correlate operational data and automate certain remediation steps without constant ...

The artificial intelligence wave is starting to look a bit like the personal computer era – with some obvious differences. The first similarity is personal productivity. Individuals are taking control of their own work with agents, open tools and repeatable skills, much like power users once did with spreadsheets, word processors, presentation graphics and PCs. ...

Artificial intelligence has turned technology spending into a strategic boardroom priority across the entire enterprise. Companies are now using FinOps data to decide where capital goes and the value it delivers. This strategic aspect of FinOps is expected to shape discussions at FinOps X 2026 in San Diego from June 8–11, where executives and practitioners will ...