AI is testing how companies budget, deploy infrastructure, and govern technology. The next challenge is making sure investment and productivity gains translate into real organizati...
Enterprise leaders have gone from concerns that they aren’t moving fast enough to a more mature approach and developing AI playbooks. Constellation Research CEO R “Ray” Wang outlin...
There won't be an AI-driven crash in 2027, but a time of volatility, debt concerns and a quot;brutal sorting,quot; according to a panel of venture capitalists. ...
Enterprise AI budgets are likely to tighten and be scrutinized amid concerns about returns and value. In addition, cybersecurity has taken back some of the AI budget even if it's s...
For 2027, the AI playbook is going to include a lot of volatility, build your own approaches, agentic AI at scale, governance headaches and a focus on humans on multiple fronts. ...
I have been thinking about a growing mismatch in enterprise technology. Organizations are becoming much faster at making and executing decisions than at recognizing when those deci...
Three seismic shifts are unfolding beneath the surface that will determine whether your organization thrives or becomes strategically obsolete in the next five years. These are not...
AI remained the dominant technology catalyst in Q3, but the enterprise conversation moved beyond AI itself. The quarter exposed a broader challenge: technology is becoming easier t...
Enterprise access was designed around a relatively static bargain. Establish an identity, decide what that identity may access, grant the permissions, and assume they remain approp...
Enterprise AI is entering a new phase. The question is no longer simply what AI can do. Enterprises are now grappling with whether they can trust it, how to train it, what infrastr...
In an extensive dialogue on national security, governance, and institutional adaptation, three veteran leaders examined how organizations must evolve to maintain relevance. ...
Enterprise architecture has usually moved from one dominant destination to another. Client-server displaced centralized computing, hosted solutions extended that model, and cloud b...
For decades, enterprises created scale by reducing variation. Processes became repeatable, systems became easier to operate, and situations that did not fit the model became except...
About three weeks ago I wanted to find evidence to support the claim that more and more enterprises are moving to open-source, open-weight models and away from public models. My tr...
Amazon Web Services released a report on delivering value from AI projects based on interviews with 150 C-level executives and the biggest takeaway is that business outcomes need t...
In 2017, Attention Is All You Need introduced the Transformer architecture that became foundational to today's generative AI. One of its breakthroughs allowed AI to pay attention t...
This is the first in a series looking at a new structure for planning and investing in enterprise technology over the next few years. The introduction can be found here.
AI ha...
Unlike the actual tragedy of 9/11, conjured images of mass human extinction due to what AI might become have not actually happened. These visions may not ever happen. We can and sh...
It may seem early to revisit the enterprise technology framework for 2026 in August, but considering the dramatic compression of cycles, and the fact that the first eight months pr...
After two years of AI dominating executive conversations, organizations are beginning to ask a more practical question: What does AI actually change about how the enterprise operat...
I have been arguing for some time that cybersecurity would become one of the largest areas of enterprise technology investment. AI temporarily absorbed much of that budget and atte...
Retrieval-augmented generation (RAG) solved an important early problem for enterprise AI. Large language models could produce useful responses, but they lacked access to current, p...
