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Companies have used "Machine Learning" for decades. But Wall Street didn't care until it could talk back.

The New Digital Divide: "Visible" vs. "Invisible" AI (Analysis of Sept 2025 Pew Data) The "Digital Divide" is back. But this time, it is hitting the boardroom. According to the latest September 2025 Pew Research Center study , we are seeing a familiar pattern. There are distinct "haves" and "have-nots" in AI adoption, mirroring the early curves of the Internet in the 90s and Social Media in the 2010s. The data shows a public split by education and exposure. But the corporate story is even more fascinating. The "OpenAI Moment" didn't just democratize access; it forced a massive, often frantic, strategic pivot in the enterprise. ❖ The Invisible Era: Machine Learning Before November 2022, AI was already ubiquitous. We just called it Machine Learning . It lived in the basement of the enterprise—boring, profitable, and invisible. It was the engine behind medical research, eCommerce recommendatio...
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We finally have a map for how AI agents learn. And it only has four quadrants.

The "Periodic Table" of Agent Adaptation: A New Taxonomy from Stanford & Princeton Static agents are dead. The future belongs to agents that adapt. A new, comprehensive 65-page survey from top research institutions—including Stanford, Princeton, Harvard, and the University of Washington —has just provided the industry's first full taxonomy for Agentic AI Adaptation . The paper argues that "Agentic AI" (large models that use memory, call tools, and act over multiple steps) is no longer just about execution . It is about evolution . The researchers map almost all advanced systems into just four basic patterns of adaptation. ❖ The 4 Ways Agents Adapt (The Taxonomy) The framework divides the world based on two questions: What gets updated? (The Agent or The Tools) and What is the signal? (Direct Results or Evaluations). Type A1: The "Trial & Error" Agent Mechanism: The agent is updated based on tool results . ...

The "Service Gap": Why UKG Bought Its Largest Partner (And What It Means for SMB Tech)

In the SMB market, the service partner, acting as the "milker," ultimately owns the customer relationship, making them the true gatekeeper to product adoption and client loyalty Why would a global software giant buy a service bureau? Today, UKG announced an agreement to acquire Inova Payroll , a Nashville-based provider of human capital management (HCM) services. While Inova was already the largest reseller of the UKG Ready® suite, bringing 4,000 SMB customers to the table, this deal signals a much deeper trend in the market: The Partner Imperative. ❖ The "Channel Partner" Secret Sauce In the HR technology market, unit economics often favor a partner-led model for the SMB segment. For enterprise giants, the cost of direct sales and support for smaller contracts can be prohibitive relative to the deal size. This is where the Partner Ecosystem becomes critical. Partners like Inova act as the "last mile" of delivery. They take ...

We spent 2024 asking if agents could do the work. In 2025, we are realizing we can't trust them to do it twice

The "God Mode" Agent is Dead. Long Live the "Six Sigma" Agent. We spent the last year asking if AI agents could do the work. We forgot to ask if we could trust them to do it twice. A new research paper led by UC Berkeley, "Measuring Agents in Production" (arXiv:2512.04123), has just dropped a reality check on the AI industry. After surveying 300+ practitioners, the conclusion is stark: Enterprises do not have a capability problem. They have a reliability problem . The "God Mode" agent—the one that autonomously plans, executes, and fixes your entire business—is not making it to production. What is working is something far less sexy but far more profitable: The Six Sigma Agent . ❖ The "Narrow & Boring" Thesis The research reveals that the agents actually driving revenue today are surprisingly constrained. 68% of production agents execute fewer than 10 steps before handing off to a human. Why? Becau...

The check has cleared. The ticker symbol is gone. Now the real strategy begins.

The Deal is Done: Thoma Bravo Completes $1.4B PROS Acquisition (And Triggers the Conga Play) The check has cleared. The ticker symbol is gone. Now the real strategy begins. Today, Thoma Bravo announced the official completion of its acquisition of PROS Holdings, Inc. in an all-cash transaction valuing the company at approximately $1.4 billion ($23.25 per share). As of this morning, PROS has ceased trading on the NYSE. But this isn't just a privatization story. The completion of this deal is the "Trigger Event" that unlocks a massive restructuring of the Revenue Operations landscape. ❖ The "De-Conglomeration" Strategy Thoma Bravo didn't buy PROS to keep it as it was. They bought it to break it into its two most valuable components: 1. PROS Travel: The Standalone Platform The travel business will now run as an independent platform investment, led by new CEO Sunil John (formerly Chief Product Officer). This allows the trav...

Voice assistants used to be dumb command lines. Now, they are agents that can "see" the road, "buy" your dinner, and handle complex banking.

Your Car Just Got Eyes (and a Wallet): SoundHound’s Agentic Shift The dashboard is no longer just a screen; it is a transactional agent. Ahead of CES 2026, SoundHound AI has unveiled a suite of innovations that fundamentally change how we interact with our vehicles. The headline isn't just better voice recognition; it is the addition of Vision AI and Agentic capabilities that allow your car to "see" the world and "act" on your behalf. ❖ 1. The "Agentic+" Platform: Standardization Wins SoundHound is launching the Agentic+ Platform , designed to let automakers deploy AI agents instantly. Crucially, this platform is compatible with the Model Context Protocol (MCP) . This is a strategic win. By adopting MCP (the same standard Adobe and Anthropic are backing), SoundHound allows for a synergistic mix of self-built, pre-built, and external agents. It prevents the "Walled Garden" problem that has plagued auto-tech for ...

Your AI is only as good as your data. Today, the platform that secures that data just merged with the platform that governs it.

The "Trust" Layer is Complete: Why Veeam + Securiti AI Changes the AI Roadmap Your AI is only as good as your data. Today, Veeam officially completed its acquisition of Securiti AI , welcoming 600 new colleagues and appointing Rehan Jalil as President of Security & AI. While the $1.725 billion price tag made headlines in October, the completion of this deal today marks a more significant milestone: the operational start of the "Trusted Data Platform." For technology leaders, this closes the gap between two historically separate silos: Resilience (keeping data safe) and Governance (keeping data trusted). ❖ The New Architecture: A "Data Command Center" Enterprise AI cannot scale if the underlying data lacks governance. You cannot build a smart model on "dumb" or "risky" data. This combination creates a unified command center that brings critical functions under one roof: 1. Unified Resilience ...
Shashi Bellamkonda
Shashi Bellamkonda
Fractional CMO, marketer, blogger, and teacher sharing stories and strategies.
I write about marketing, small business, and technology — and how they shape the stories we tell. You can also find my writing on Shashi.co , CarryOnCurry.com , and MisunderstoodMarketing.com .