Latest articles from CIO magazine

Agentic AI is poised to transform business processes at a scale and pace never seen before. But are enterprises prepared to deal with the risks…

Data engineers work for enterprises in various industries to help them manage and store the data they need to operate, and, increasingly, to support their…

It may have faded into obscurity but by an order of magnitude, the outage last July caused by the cybersecurity vendor was the costliest in…

AI agents are poised to transform the enterprise landscape, from automating mundane tasks to driving customer service and innovation. But having strong guardrails in place…

With the pace of gen AI adoption accelerating across all business sectors and functions, required skills are increasingly in demand — but the people out…

Complexity and security are primary concerns but enterprises first have to ensure they have a modern stack.

The numbers are starting to come in, and many companies report that some gen AI investments are starting to pay off — but not all.

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores…

With the advent of generative AI, the pace of technological change has greatly accelerated. Is it better to take risks and experiment, or wait for…

This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.

Commercial generative AI platforms like OpenAI and Anthropic get all the attention, but open source alternatives can offer cost benefits, security, and flexibility.

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…