There is a disconnect happening with AI that cannot be ignored. A model can retrieve information, summarize it, or generate an answer, but it cannot determine whether the answer reflects how the business works or if it's truly correct. The limitation is not model intelligence but missing context. Using connected data, semantic relationships, and graph-based retrieval improves AI reasoning, contextual understanding, and decision making.
Stephanie Simone //
08 Oct 2026
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.
Jelani Harper //
08 Jun 2026
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.
Daniel W. Rasmus //
15 Jul 2026
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.
John Harney //
18 Dec 2025