Latest articles from CIO magazine

Early adopters of gen AI typically used ChatGPT, Microsoft Copilot, and similar SaaS tools that cost money but didn’t create infrastructure challenges. As companies scale…

To maximize the business value of artificial intelligence, AI teams require a diverse range of skills and roles, from data scientists and domain experts, to…

Jumping on the gen AI bandwagon can backfire, but moving too slow isn’t wise either. Finding the optimum pace relies on a host of factors,…

From agentic systems to zero-shot prompting, generative AI can feel like a new language. Here are the terms CIOs need to know.

Lower-level IT jobs are expected to be the most impacted, or replaced altogether, by AI, but even senior level jobs aren’t immune. CIOs should be…

Chatbots sit and wait to be asked questions. Agents, however, are proactive, can act autonomously, and adapt to their environments. And when multiple agents develop…

Enterprises continue to pour money into gen AI projects as the pace of change increases. But in the rush to keep up, some companies are…

Regulators, experts, and AI vendors talk a lot about alignment: the degree to which an AI model conforms to values. But enterprises are still coming…

AI guardrails are the technical tools companies use to ensure their systems conform to evolving policies and responsible practices. But with increasing options now available…

Generative AI can solve a litany of data challenges — filling gaps, extracting information from documents, and improving data quality — but experts say to…

End users at the Dana-Farber Cancer Institute saw the possibilities for generative AI use cases soon after the technology emerged. But adopting it required careful…

Open source generative AI models can be downloaded for free, used at scale without racking up API call costs, and run securely behind corporate firewalls.…

Generative AI continues to blur the lines between IT and business, demanding a new breed of CIOs. So forward-thinking tech execs are upskilling in finance…

MSPs are increasingly being turned to as strategic outsourcing partners that remotely manage or deliver IT services, thanks to talent and technologies most enterprises lack.

As the explosive growth of generative AI frees technologists to take on more complex challenges, critical thinking, communication, business and domain knowledge, and leadership are…

Generative AI focused on customer service, software and development, and creative and knowledge work could yield more than $1 trillion in annual US productivity gains.…

The blistering pace of advancement in generative AI leaves companies struggling to effectively implement and measure the technology, while guarding against bias and risk.

Generative AI has created an unprecedented pace of technological change, but complications of choosing AI vendors have grown in equal measure. So tech leaders need…

As companies race to add generative models into products and workflows, massive investment to upskill workforces on prompt engineering and ethical AI emerges as a…

Building a new large language model (LLM) from scratch can cost a company millions — or even hundreds of millions. But there are several ways…

Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few…

In 2022, the big AI story was the technology emerging from research labs and proofs-of-concept, to it being deployed throughout enterprises to get business value.…

Enterprises—and their technology vendors—continue to fall over themselves to add gen AI capabilities to tools and platforms. But moving too fast can expose companies to…

Beyond the household names for generative AI models, a burst of other options are emerging for the enterprise. Here’s a look at some that might…

Getting business value out of data requires data that’s accurate, comprehensive, and unbiased. Having a team composed of people with varying demographic, educational, and professional…

When asked, IT leaders, and the companies they represent, must be able to immediately harness the power of generative AI, and understand, as well as…

Companies that embrace data-driven approaches stand to perform much better than those that don’t, yet they’re still in the minority. What’s standing in the way?

To become data-driven, companies need a democratization strategy that’s equal parts disciplined and diverse. Data collection, selecting a platform and employee training are just the…

Companies embarking on their automation journeys need to figure out the right process to automate, deal with organizational change, and watch out for security and…

Taking stock of AI ROI is challenging but essential. IT leaders and industry observers lend insights on how to get a clear idea of whether…