Building Trustworthy Data Foundations for AI

A plethora of reports highlight the prevalence and dangers of AI hallucinations and other forms of inaccuracies resulting from AI applications. These errors can be traced to many different root causes, but the solutions boil down to a few methods: restrict the content to a carefully defined and structured set of validated information, protect the application through governance and monitoring, and evaluate the output to provide continuous improvement.

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.

The Multimodal World of Enterprise AI

Multimodal applications of AI are gaining credence throughout the enterprise at increasingly rapid rates—and for good reason. Firstly, they come close to realizing the full potential of foundation models and large language models (LLMs) which, by default, are multimodal.

IT Smart Systems and Feedzai Boost AI-Driven Payment Fraud Prevention

IT Smart Systems (ITSS) is collaborating with Feedzai, the global leader in AI-native, financial crime prevention, to unite Feedzai's advanced, AI-driven, fraud prevention capabilities with ITSS's deep expertise in digital banking integration and delivery.

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.

Nile Eliminates Network Complexity, Strengthens Security, and Frees IT Resources for Glean

Nile, a pioneer in secure and autonomous networking-as-a-service (NaaS), announced that Glean—the Enterprise AI platform helping organizations find, create, and automate knowledge across the enterprise—is using Nile's Network-as-a-Service (NaaS) platform to support its rapid growth, AI-driven operations, and commitment to delivering exceptional employee experiences.

Enterprise AI Sourcebook: 2026 Edition

Recapturing The Cost of Fragmented Data With AI

Information Rich: Unifying Fragmented Data With Agentic Workflows in 2026

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