CIO

MARCH 11, 2025

Business consulting firm Deloitte predicts that in 2025, 25% of companies that use generative AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027.The Asana also recently launched Asana AI Studio, which uses agentic AI to enable teams to create no-code, AI-powered workflows. Feaver says.

How To 191

How To Systems Review Technical Review Software Review 191

CIO

MARCH 19, 2025

Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Major enterprise software vendors are also getting into the agent game. Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre.

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Software Review Systems Review Technical Review Artificial Inteligence 215

CIO

FEBRUARY 27, 2025

ITs product management journey Developing enterprise product management disciplines is challenging, in part because businesses executives in healthcare, manufacturing, and many other industries dont typically see IT as developing products. We also need to focus on measuring what matters and track more than financial outcomes.

Technical Review 189

Technical Review Project Management Agile Program Management 189

CIO

MARCH 12, 2025

In 2025 the scope of FinOps has expanded well beyond CSPs already. After managing that volume of data for the cloud, its easy to add other types of spend. They review transparency and budgeting, and engage with the finance organization monthly to review trends. For larger enterprises, its a whole different ballgame.

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CIO

FEBRUARY 14, 2025

Legal bottlenecks: Contract negotiations and compliance reviews often add months to the process. From streamlining workflows to uncovering actionable insights, these advancements are reshaping software sourcing and vendor management. See also: Where CIOs should place their 2025 AI bets.)

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Technical Review Weak Development Team Systems Review Generative AI 97

Tenable

JANUARY 31, 2025

That way, theyll be able to measure elements such as model performance, data quality, algorithmic bias and vendor reliability. RACI model : Its key to be clear about who is responsible, accountable, consulted and informed (RACI) regarding AI decisions, selection of tools and vendor management.

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