Latest AI articles

Rising workloads, tougher sustainability regulations, and cost pressures will increasingly squeeze data center operators in 2024 and force tradeoffs between business expansion and infrastructure reliability.

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…

Businesses are using DLP tools to help secure generative AI and reduce risks of ChatGPT and similar applications.

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.…

Enterprise software vendors of all stripes are beginning to add generative AI features to their applications. Here’s how Stream Financial, NFP, and Thomson Reuters are…

In addition to controlling the use of ChatGPT and other standalone tools, companies now have to grapple with generative AI being built into the productivity…

Highlights include a private AI platform developed with Nvidia that lets enterprises run generative AI applications on their proprietary data within VMware’s hybrid cloud infrastructure.

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…

Traditional advanced analytics are not going to disappear with the rise of generative AI. Cultural and quality challenges hinder organizations as attention shifts to new…

VMware Private AI Foundation with Nvidia will enable enterprises to customize models and run generative AI applications on their own infrastructure in their data centers,…

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…

Rapid growth and development of AI is pushing the limits of cybersecurity and CISOs must take charge now to be ahead of a range of…

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…

Regulators around the world are taking a renewed look at AI and it’s no surprise, what with all the warnings about the potential of an…

Learning AI tools is now an essential investment for every business professional, especially for corporate PR and communicators. In this workshop, Maria Korolov explained the…

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?

How to stay ahead of attacks by learning about the risks of AI-based search engines, what skill sets are needed to defend systems and ensuring…

Real-time analytics enables organizations with faster decision-making. However, bad data, or a culture that isn’t ready for real-time analytics, can undermine the benefits.

We explore the benefits and dangers of cybersecurity professionals using AI tools like ChatGPT in the data center space – as well as how they’re…

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…

Data quality challenges pose a threat to organizations’ decision-making. Inaccurate, inconsistent, missing and duplicate data poses threats to cultivating trustworthy data sets.

Generate accurate data analysis and predictions by mastering the six dimensions of data quality — accuracy, consistency, validity, completeness, uniqueness and integrity.

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…

Companies struggling to hire new talent are turning to training existing employees in internal “talent factories.”

Enterprises, governments and other organizations now have access to more powerful weapons in their defensive arsenal with AI – but so do malevolent hackers.