Gartner IT Infrastructure, Operations & Cloud Strategies Conference 2025 London: Day 1 Highlights

We are bringing you news and highlights from the Gartner IT Infrastructure, Operations and Cloud Strategies Conference, taking place this week in London. Below is a collection of the key announcements and insights coming out of the conference.

On Day 1 from the conference, we are highlighting a roadmap to information & operations (I&O) success, sharing 5 steps to increase the business value of observability, and examining the future of cloud. Be sure to check this page throughout the day for updates.

Presented by Autumn Shanish, Director Analyst, Gartner and Paul Delory, VP Analyst, Gartner

Agentic AI is a fundamental shift for I&O, demanding new operational paradigms. In this session, Autumn Stanish, Director Analyst at Gartner and Paul Delory, VP Analyst at Gartner, shared a roadmap on how infrastructure and operations (I&O) can be a value-driving function of AI.

• “Build an AI center of excellence within I&O. Its main job is to effectively be your AI traffic controllers.”

• “Gartner predicts that only 15% of agents will be fully autonomous within the next seven years.”

• “Continuous operations is the key to providing guardrails around AI agents and giving them structure.”

• “Start testing AI agents for mature IT operations use cases. Gartner predicts that AI agents will be implemented in 60% of all IT operations tools by 2028.”

• “Move the I&O identity from service provider to platform provider to align I&O to business value.”

   

  Journalists can receive additional information and/or request an interview with the Gartner expert by contacting Laurence Goasduff at laurence.goasduff@gartner.com.

Presented by Chris Saunderson, VP Analyst, Gartner

Observability costs are escalating out of control and technical and procurement teams frustrated but lack direction on how to rein in spending. In this session, Chris Saunderson, VP Analyst at Gartner, presented 5 practical steps that I&O leaders can use to optimize spend while increasing the business value of observability.

• “There are three causes of the rise in observability costs: Organic business growth, telemetry complexity, and increased organizational expectations.”

• “The 5 ways to get control of your observability costs are: align to business priorities, tame your telemetry, implement native controls, rationalize and consolidate, and utilize AI for efficiency."

• “Using native controls will increase utilization while lowering costs.”

• “A successful consolidation must have executive buy in, realistic timeframes, as well as training and support.”

• “AI is the future of observability: AI allows for enhanced root cause analysis, optimization and continuous feedback, it helps to democratize observability, and provide explainable insights. The benefits include increased operator efficiency & reduced burnout, the ability to manage more with less, and better business insights and decision making ability.”

   

  Journalists can receive additional information and/or request an interview with the Gartner expert by contacting Laurence Goasduff at laurence.goasduff@gartner.com.

Presented by Dennis Smith, Distinguished VP Analyst, Gartner

Expanding cloud computing adoption will push the market beyond $1 trillion in worldwide spending by 2027. Cloud platforms (public and sovereign) are increasingly hosting AI implementations to transform business models in a highly volatile world. In this session, Dennis Smith, Distinguished VP Analyst at Gartner, explored how to prepare enterprises for the future of cloud from now until 2030.

• “We believe that cloud computing will continually grow. In fact, Gartner projects that it will exceed $1T in 2027, something that would have been unthinkable during the very early days of cloud computing.”

• “Enterprises deploying industry-specific AI agents in support of critical business objectives will grow to over 80% by 2030, from less than 10% today.”

• “By 2030, energy demand will more than triple from where it is now due to the need to handle AI requirements.”

• “By 2030, securing and governing cloud-related AI activities will be central to over 95% of security strategies, up from 20% today.”

• “By 2030, companies that fail to optimize the underlying AI compute environment will pay 50% more than those that do.”

   

  Journalists can receive additional information and/or request an interview with the Gartner expert by contacting Laurence Goasduff at laurence.goasduff@gartner.com.