Nuances of Build-or-Buy Decisions

The intricacies of the time-honored question of whether to build or buy take on new dimensions when it comes to enterprise AI. Organizations must not only account for traditional considerations like cost, time-to-market, and proof of concepts but also for those that are unique to advanced machine learning and language model deployments.

LLMs Do Not Reason Like Humans, But They Can Deliver Reasoning-Like Performance

Despite the marketing hype, large language models (LLMs) do not reason, at least not in the ways humans do. Underlying that assertion is the fact that we humans do not apply the term "reason" consistently.

AI Across Markets and Industries

With all the noise around generative AI (GenAI) since the advent of ChatGPT, has the signal gotten lost? Are we missing the one "killer app" that will make GenAI indispensable? What is more likely is that multiple killer apps will surface across many markets and industries.

Moving to Agentic AI

Intelligent agents are not new. In its April 15, 1995, issue, Datamation published my 1-3-year forecast. Agents, I predicted, would automate repetitive tasks, help with email, and coach us on managing time wisely. Sound familiar?

Flex and Cerebras Deepen Partnership to Scale the Manufacturing of Cerebras AI Supercomputers

Flex and Cerebras Systems Inc. are expanding their manufacturing partnership to scale production of the Cerebras CS-3, one of the world's most advanced AI accelerator systems, at Flex manufacturing facilities in Milpitas, California.

Datadog and Sakana AI Collaborate to Advance AI Innovation and Observability for Enterprises

Collaboration brings together leading AI research and cloud observability expertise to support next-generation AI applications, starting in Japan.

Cleo and Bear Cognition Collaborate to Leverage AI-Driven Supply Chain Orchestration to Automate Business Process Workflows  

Cleo, a global leader in supply chain orchestration solutions through its Cleo Integration Cloud (CIC) platform, is partnering with Bear Cognition, Inc., a leading provider of automation and intelligence systems for supply chain operations.

Information Rich: Unifying Fragmented Data With Agentic Workflows in 2026

Building an AI-Ready Enterprise: Governance as the Foundation for Scalable AI

Solving the 95% Blind Spot

Solving the 95% Blind Spot: How to Find the Issues Your Contact Center Doesn't Know It Has Your Contact Center Is Flying Blind on 95% of Customer Data Most teams analyze only 5%—manual tags and sampled data. The rest stays hidden in transcripts, chats, and surveys. What This Costs You: Reacting weeks after problems start Missing emerging issues with outdated taxonomies Never catching the "unknown unknowns" that drain revenue Why AI deflection fails (and what works instead) The Avoidance Imperative—eliminate issues at the source How autonomous taxonomy delivers 100% coverage Get the Ebook

Spiral by UJET - The AI Issue Hub for Decision-Grade Data

What if anyone in your entire company—from an engineer to a marketing leader—could instantly ask a plain language question and get a definitive, quantified answer from 100% of your customer conversations? This datasheet shows you how. Learn how Spiral’s easy-to-use AI agent autonomously analyzes every call, chat, email, and review to find the ultra-specific root cause of every customer issue—transforming 100% of your customer conversations into actionable, predictive insights. Go from 'What if?' to 'Here's how.' Trusted by innovative teams at Turo, Owlet, and Whitepages