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?
AI-fueled search gives more power to the bad guys
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 presents challenges to unlock benefits
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.
How ChatGPT Can Help and Hinder Data Center Cybersecurity
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…
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…
4 data quality challenges that hinder data operations
Data quality challenges pose a threat to organizations’ decision-making. Inaccurate, inconsistent, missing and duplicate data poses threats to cultivating trustworthy data sets.
6 dimensions of data quality boost data performance
Generate accurate data analysis and predictions by mastering the six dimensions of data quality — accuracy, consistency, validity, completeness, uniqueness and integrity.
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…
A New Strategy to Address the AI Talent Shortage
Companies struggling to hire new talent are turning to training existing employees in internal “talent factories.”
AI in cybersecurity: Raising the stakes for enterprise defense
Enterprises, governments and other organizations now have access to more powerful weapons in their defensive arsenal with AI – but so do malevolent hackers.
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…
Computer vision is primed for business value
Companies across a range of industries are deploying image- and video-based artificial intelligence to improve and optimize key business processes and products.
9 ways hackers will use machine learning to launch attacks
Machine learning algorithms will improve security solutions, helping human analysts triage threats and close vulnerabilities quicker. But they are also going to help threat actors…