Kimberly Nevala is the Director of Business Strategies for SAS Best Practices, where she advises on the strategic value and practical impact of emerging analytic applications and information trends.

If a fraudster can weaponize a Large Language Model (LLM) to generate a million perfect, unique phishing emails in an hour, why are we still fighting an AI war with human-speed signature updates? The ...

Last November, Anthropic rolled out the Model Context Protocol (MCP), which initially attracted muted interest. The company tucked the news into a blog post, calling MCP an open standard meant to ...

Matt Walz is the CEO of Trialbee, a global leader in technology-driven patient recruitment. He brings more than 20 years of software and leadership experience in the life sciences industry. Matt ...

A developer leans back in frustration after another training run. A significant amount of work was spent over many months fine-tuning a large language model. Data pipelines were expanded, and compute ...

Censorship in language models may be undermining their ability to report truth at a wider level. New research finds that the same internal mechanisms used to block 'unsafe' responses also suppress ...

Nicco-Annan is a seasoned finance professional with two decades of experience in Technology Finance encompassing everything from Project Finance, Accounting and Strategic Business Initiatives. Over ...

The era of building larger AI models is coming to an end. As computational scale shows diminishing returns, a new approach ...

The security operations center (SOC) is at a breaking point. Analyst burnout has long been a critical risk, but the problem ...

New research shows that coding AIs such as ChatGPT suffer from the Dunning-Kruger Effect, often acting most confident when ...

Gordon Van Huizen is SVP of Strategy at leading low-code provider, Mendix, a Siemens business. In this role, Van Huizen identifies and explores strategies for emergent technology advancements, and ...

Today, being at the edge of a technological fault line, we observe the journey from LLMs to agents, and eventually to agentic ...