News, analysis, and insights for IT leaders navigating the risks and rewards of AI.
March 19, 2024
A number of startups and cloud service providers are beginning to offer tools to monitor, evaluate and correct problems with generative AI in the hopes of eliminating errors, hallucinations and other systemic problems.
Cyber attackers are using AI in creative ways to compromise users and breach organizations. Zscaler has extended its proven Zero Trust Architecture with powerful AI engines that are trained and tuned by 500 trillion daily signals to prevent ransomware and AI attacks.
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. Early adopters stand to benefit the highest ROI, but tactical deployment and robust training are key to not overstretch the tech.
Generative AI systems for business are alarmingly inaccurate. Data needs some serious attention to avoid wrong info, bias, or legal trouble.
AI coding tools such as Amazon CodeWhisperer and GitHub Copilot boost the productivity of pro and novice developers alike. Theyâre only the beginning.
Available worldwide on April 1, Microsoft Copilot for Security uses generative AI to provide incident summaries, step-by-step remediation guidance, and reverse-engineering of scripts.
At this week's IDC Directions conference, researchers emphasized how AI is already a priority in many organizations, even though they still lack a proper plan, including key applications and oversight.
Visual Studio 2022 17.10 Preview 2 integrates Copilot-generated pull request descriptions and Copilot-powered explanations of commits.
The partnership will give joint customers a CPU platform on which to run computationally intensive AI workloads.
New servers and storage services are targeted at high performance workloads, which means AI.
