This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
Soul of the Machine is a Silicon Valley-based AI-first Agentic services company founded by experienced technologists and designers with a single ambition: to shape the future of intelligent enterprises.
On-premise enterprise AI deployments and any hardware upgrades for servers, PCs and other devices in the works are going to become more expensive as memory prices surge.
Have you ever attended an event and just had something stick in your head for days or even weeks? Months? Smartsheet ENGAGE, in early November 2025, raised just such a question: What matters in the reality of work?
Welcome to a new edition of The Board: Distillation Aftershots (*).
This newsletter shares curious and interesting insights and data points distilled from enterprise technology to identify what’s notable.
Agentic AI to date has revolved around architecture, standards, use cases, process automation and productivity, but customer experiences and visions of reinventing categories are moving to the forefront.
Simply put, the agentic AI winners on both the buy side and sell side will likely be decided by customer experiences. This CX-meets-AI theme is already emerging on the consumer side. In recent weeks, we've seen the following:
ServiceNow said that it has expanded its multi-year partnership with OpenAI in a move that will revolve around computer-use automation, expanded AI tools and workflows using technologies from both companies and native voice interactions.
OpenAI has $20 billion in annual recurring revenue, but perhaps the bigger news is that the company's 2026 focus revolves around "practical adoption" in health, science and enterprise.
Sarah Friar, OpenAI's CFO, said in a blog post outlining a bit of the company's financial picture and infrastructure commitments.
DisrupTV Special Edition at Davos 2026: AI, Geopolitics, and the Race to Build Trust at Global ScaleBroadcast live from Davos during the World Economic Forum 2026, this special edition of DisrupTV brought together global leaders, technologists, and strategists to unpack one urgent question: How do we lead, govern, and collaborate in an AI-driven world defined by geopolitical uncertainty?
World Economic Forum's 2026 Theme Centers Around "A Spirit of Dialogue"
Another year, another Davos. With 3000 official and 5000 unofficial attendees at UnDavos and a host of amazing side events, the beginning of the year marks a rite of passage for the C-Suite. While convening high above the Swiss Alps, these global leaders will "talk" about the state of world affairs and economy, Many skeptics wonder if real dialogue will be had.
In Part 1 of this 2026 Boardroom Decision series, I highlighted why corporate Boards must expand their fiduciary duty to encompass gray zone threats, hardware-level vulnerabilities, and the strategic asymmetries created by fragmented AI policies.
Many growth teams have already begun implementing artificial intelligence (AI) tools in some portion of their go-to-market (GTM) motions. However, listening to dozens of end-user organizations over the past 18 months has made it clear that demonstrating return on investment (ROI) has been a critical issue when validating spend or the efficacy of AI tool implementation. Now, with nearly every software provider that touches GTM motions offering some form of AI agent, the pressure to deploy this technology while validating its effectiveness is mounting.
OpenAI launched ChatGPT Go in the US, an $8 per month subscription plan, and plans to launch ads in that plan and free versions.
The two efforts will give a boost to OpenAI's revenue and overall financial picture. After all, OpenAI has billions of dollars in AI infrastructure spending ahead with the latest being a deal with Cerebras.
Introduction: The Evolution from HR to Employee Experience
In the latest episode of DisrupTV, co-hosts Vala Afshar, Chief Digital Evangelist at Salesforce, and R “Ray” Wang, CEO and Founder of Constellation Research, led a timely discussion on how leadership, culture, and work itself are being redefined in the Age of AI.
You'll have to remove that Meta Horizons Workroom meeting from your calendar after Feb. 16, 2026. Oh you didn't have one scheduled? Apparently no one else did either.
Meta said it was discontinuing its Meta Horizon Workrooms as a standalone application. Meta's post on the topic omitted the obvious: Meetings in the metaverse just didn't happen.
This post is a very short summary of the last three “Enterprise Technology Intelligence Briefing” books. In that monthly report, we track the enterprise technology topics that matter to executives and boards, and lately, it has been AI. Of course.
Much has been discussed, but succinctly, today's situation can be summarized in four points:
AWS European Sovereign Cloud is generally available and the cloud provider is planning to expand from Germany to Belgium, the Netherlands and Portugal.
The launch of AWS European Sovereign Cloud is a milestone for Amazon and its plans to invest more than €7.8 billion in the effort.
CEOs are now driving AI strategy at enterprises and half of them think their jobs are on the line if they don't get it right.
That rather stressful reality comes from a Boston Consulting Group survey on enterprise AI plans.
Caterpillar has plans for artificial intelligence (AI) enabled features in its construction equipment; autonomy at scale and machine learning with computer vision, sensors, and edge computing; and Cat AI Assistant, which enables customers to engage with the company's machines. The bigger story, however, may be the years of transformation, data preparation, and technology infrastructure leading up to Caterpillar's big CES 2026 splash.
Wikimedia, the foundation behind Wikipedia, said the company has added Microsoft, Mistral AI, Perplexity and others as Wikimedia Enterprise partners to join Amazon, Google and Meta. The Wikimedia Enterprise traction highlights how human-driven content carries a premium.
MongoDB said it is integrating its Voyage 4 embedding and reranking models into its platform infrastructure in a move that will improve accuracy, deliver better context and help developers scale applications.
With the moves, announced at MongoDB.local San Francisco, MongoDB is looking to grab a bigger piece of the AI applications pie. MongoDB is also creating a unified data intelligence layer for production AI in a move that will enhance its enterprise footprint.
CRTV kicks off 2026 with Episode 121, focusing on the reality of enterprise AI, decision velocity, and the hype vs. value of humanoid robots at CES. In this episode:
AI, M&A, and Precision Data
Martin Schneider and Larry Dignan break down recent AI-driven M&A and why the real competitive edge is shifting toward secure, precision data and job-to-be-done–focused agents rather than generic AI.
Decision Velocity
Larry talks with Mike Ni, Constellation’s analyst for Data to Decisions, about:
Economic slowdown is real. Although the fear of a recession has declined in recent weeks (from 40% to 30% before the Christmas season, according to a distillation of forecasts), other indicators reflect a slowdown in economic activity. The year started with hopes of returning to predictable, stable growth and is ending with deceleration to no growth ahead: a slower job market, stagnant wages, and consumer spending shifting to higher-income segments, hurting affordability for most consumers. AI-boosted economic activity and GDP growth have proved short-lived, as growth has slowed.
As we move into 2026, the question for every executive is: How do we actually measure the success of our technical processes?
It’s not about the depth of your models; it’s about Decision Velocity. In this interview with Constellation analysts Larry Dignan and Michael Ni, we explore why this metric is the key to closing the gap between a pilot program and a successful enterprise-wide implementation.
The Decision Velocity Framework:
Enterprise AI is shifting from insight to execution, and integration is becoming mission-critical.
Constellation analyst Mike Ni and IBM's Scott Brokaw discuss why yesterday’s human-centric, storage-first data architectures are failing AI agents and how unifying structured and unstructured data with strong governance, lineage, and access control unlocks real business impact.