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…
Data centers warm up to liquid cooling
AI, machine learning, and high-performance computing are creating cooling challenges for data center owners and operators. As rack densities increase and temperatures rise, more data…
Keynote speaker at Data & AI Summit
Maria Korolov was the keynote speaker at the sold-out Data & AI Summit 2024 in Lima, Peru. Her talk covered the enterprise adoption of generative…
The state of ransomware: Faster, smarter, and meaner
The ransomware business hit record highs in 2023 despite falling payment rates, as attackers scaled up the number of attacks and new AI weapons were…
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.…
Generative AI poised to make substantial impact on DevSecOps
Generative AI could be the holy grail of DevSecOps, from writing secure code and documentation to creating tests. But it could be a major point…
How GenAI helps entry-level SOC analysts improve their skills
By automating repetitive triage and documentation tasks, generative AI systems allow entry-level security analysts to spend more time on investigations, response, and developing core skills.
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.
AI-powered 6G wireless promises big changes
The next-gen technology is still years away, but 6G wireless could enable futuristic high-bandwidth, low-latency applications.
Assessing and quantifying AI risk: A challenge for enterprises
Risks associated with artificial intelligence have grown with the use of GenAI and companies must first understand their risk to create the best protection plan.
5 data center predictions: Surging demand and tighter rules squeeze operations
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.
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…
Data loss prevention vendors tackle gen AI data risks
Businesses are using DLP tools to help secure generative AI and reduce risks of ChatGPT and similar applications.
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.…
How companies are putting embedded genAI to good use
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…
GenAI in productivity apps: What could possibly go wrong?
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…
Generative AI dominates VMware Explore news
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.
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…
Advanced analytics challenges limit analytics, AI benefits
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, Nvidia team on enterprise-grade AI platform
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,…
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…
How CISOs can balance the risks and benefits of AI
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…
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…
Proactive Not Reactive: The Rising Role of AI Leadership
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…
Press Release Writing in The Age Of AI
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…
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?