CIO

SEPTEMBER 21, 2023

AI and change management Change management has long been instrumental to the success of AI projects. It doesn’t matter how accurate an AI model is, or how much benefit it’ll bring to a company if the intended users refuse to have anything to do with it. This is where large language models get me really excited.

Artificial Inteligence 195

Artificial Inteligence Enterprise Trends Open Source 195

CIO

JANUARY 7, 2025

Investment in training and change management is critical to the success. RUN: Configure and establish a strong cloud financial model The centerpiece for setting up the cloud the right way for the first time and realizing the true meaning of making money with the cloud hinges on developing a strong cloud financial model.

Cloud 147

Cloud Strategy Architecture Policies 147

CIO

APRIL 1, 2024

Generative AI is also poised to dramatically speed up the whole process, says Rajib Gupta, senior director advisor in Gartner’s IT sourcing, procurement, and vendor management team. Today CIOs and their teams face big challenges converting legacy code to modern languages, often losing data flow in the process.

Strategy 210

Strategy Artificial Inteligence Generative AI Agile 210

CIO

JULY 26, 2024

In addition to the design of the transformation process, carrying out a dedicated cloud migration project is often not enough to achieve the necessary digital change. At the same time, it’s been possible to avoid excessive dependencies by building up or strengthening internal vendor management capacities.

Cloud 215

Cloud Technical Review Study Survey 215

CIO

AUGUST 22, 2023

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused.

Technical Review 148

Technical Review Agile Leadership Artificial Intelligence 148

CIO

MARCH 19, 2025

Mitre had to create its own system, Clancy added, because most of the existing tools use vendor-managed cloud infrastructure for the AI inference part. Gaskell says his company is LLM agnostic, meaning the AI agents can be powered by different LLMs, depending on which ones the best fit. Thats been positive and powerful.

Software Review 215

Software Review Systems Review Technical Review Artificial Inteligence 215