Weighing the risks of moving too fast with gen AI
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,…
23 key gen AI terms and what they really mean
From agentic systems to zero-shot prompting, generative AI can feel like a new language. Here are the terms CIOs need to know.
Can the CIO role prevail over AI?
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…
AI agents will transform business processes — and magnify risks
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…
How to get gen AI spend under control
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…
Be honest: Are your company values and AI aligned?
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…
How guardrails allow enterprises to deploy safe, effective AI
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…
Gen AI can be the answer to your data problems — but not all of them
Generative AI can solve a litany of data challenges — filling gaps, extracting information from documents, and improving data quality — but experts say to…
Key considerations to cancer institute’s gen AI deployment
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…
10 things to watch out for with open source gen AI
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.…
How CIOs align with CFOs to build RevOps
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…
What is a managed service provider? Strategic outsourcing for IT services
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.
Is the power of people skills enough to keep gen AI in check?
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…
3 areas where gen AI improves productivity — until its limits are exceeded
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.…
For IT leaders, operationalized gen AI is still a moving target
The blistering pace of advancement in generative AI leaves companies struggling to effectively implement and measure the technology, while guarding against bias and risk.
Weighing risk and reward with gen AI vendor selection
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…
Upskilling ramps up as gen AI forces enterprises to transform
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…
5 ways to deploy your own large language model
Building a new large language model (LLM) from scratch can cost a company millions — or even hundreds of millions. But there are several ways…
4 reasons why gen AI projects fail
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…
The year’s top 10 enterprise AI trends — so far
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.…
Regulatory uncertainty overshadows gen AI despite pace of adoption
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…
Introducing the GenAI models you haven’t heard of yet
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…
How diverse teams lead to better data
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…
7 key questions CIOs need to answer before committing to generative AI
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…
6 barriers to becoming a data-driven company
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?
The essential check list for effective data democratization
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…
Top automation pitfalls and how to avoid them
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…
Measuring the business impact of AI
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…
Unlocking the hidden value of dark data
The chances are that most of the data you collect — from human communications to machine logs — is piling up with little plan for…
Data lakehouses give enterprises analytics edge
Blending the structure of data warehouses and the flexibility of data lakes, data lakehouses are proving to be versatile tools for making the most of…