by Gary Mintchell | Jun 11, 2026 | Commentary, Leadership
I have appreciated Kevin Meyer’s thinking on Lean, manufacturing, leadership, and life for many years. He recently wrote on his blog:
Bob Sutton posted something on LinkedIn this week that stopped me mid-scroll. He was flagging a Brené Brown interview in the Financial Times, in which she described a troubling shift: leaders feeling a sense of relief and permission from the current political climate to be, as she put it, the assholes they’ve always been. Sutton, who literally wrote the book on this (The No Asshole Rule, 2007), has been tracking the organizational costs of toxic leadership for decades. The fact that he was amplifying Brown’s warning suggests they’re both seeing the same thing.
So am I, and it’s been bothering me.
And also, me. As an aside, Brown’s new podcast conversation with Adam Grant called The Curiosity Shop is my new favorite listen
Meyer points to Brown’s deeper meaning:
Brown’s framing is more precise than it might first appear. She isn’t saying the political climate is creating bad leaders. She’s saying it’s licensing them. Leaders who previously kept their worst instincts in check because social and institutional norms demanded it now feel liberated. The restraints have loosened. That’s a fundamentally different, and more dangerous, problem.
Ah, research from the PhD:
Sutton’s research makes the case against this directly. His concept of the “Total Cost of Assholes” is real and measurable: talented people leave, honest input dries up as psychological safety collapses, decision quality erodes. As he put it, “It takes numerous encounters with positive people to offset the energy and happiness sapped by a single episode with one asshole.” The “but he gets results” rationalization doesn’t survive contact with the longitudinal data.
How many of us have followed leaders from many walks of life who have seemingly build careers on character and morals only to be shown to have been deceived?
I can almost understand, not excuse but understand, a purely transactional leader who drops the character mask when the costs of wearing it exceed the benefits. Cynical, but at least internally consistent. What I cannot get my head around is the behavior of people who have spent careers, sometimes entire lifetimes, building identities around moral and ethical frameworks, often explicitly religious ones, and then abandon those frameworks the moment a convenient “end” appears on the horizon.
Character as relationship, not transaction.
But character works like a relationship, not a transaction. Anyone who has watched someone enter a marriage or a partnership convinced they can change the other person already knows how this ends. You don’t change people by accepting their worst behavior; you ratify it. And you signal to everyone watching that the behavior is acceptable, which is how norms collapse.
The harder path, the one that actually maintains what you claim to believe, is staying true to the principle when the shortcut looks most appealing. Especially then. And the irony is that the shortcut rarely delivers what was promised anyway. The downstream effects of tolerating poor character accumulate quietly at first, then loudly: institutional trust erodes, the culture coarsens, the people who care most either leave or go silent. What looked like a faster route to the goal has created an environment in which the goal is now harder to achieve, not easier, because the foundation it required has been eaten away.
He ends his essay much like I often do on my other blog—making it personal.
So the next time you find yourself excusing a leader’s behavior you would never accept from your own kids, your employees, or your friends, ask what that rationalization is actually costing. Not them. You.
by Gary Mintchell | Jun 9, 2026 | Data Management, Edge
When the three people I knew formed HighByte in the Industrial DataOps market, I thought they had a good thing going. Perhaps revenues have not rocketed as much as hoped, but they keep moving. They added work in unified data namespace. This partnership just announced with Siemens is a good deal for both companies.
In short:
- Partnership delivers unified data infrastructure for industrial operations, combining Siemens Industrial Edge, HighByte Intelligence Hub and Intelligence Center X
- Customers can seamlessly connect, contextualize and consume industrial data to build AI models, agents and applications at scale
- HighByte Intelligence Hub now available on Siemens Industrial Edge Marketplace
Siemens is expanding the capabilities of its Industrial Edge ecosystem through a partnership with industrial software company HighByte. The collaboration enables customers to seamlessly connect, contextualize and transform data from both operational technology (OT) and information technology (IT) sources, helping them to get value from industrial data.
HighByte Intelligence Hub is an industrial data operations software solution, designed specifically for data modeling, orchestration and governance. It is now available as an official application on the Siemens Industrial Edge Marketplace. Customers can efficiently consume and reuse industrial data sets from HighByte to build AI models, agents and applications at scale, using Siemens’ recently announced Intelligence Center X software.
HighByte Intelligence Hub runs natively on Industrial Edge, where application and configuration management is handled. The solution integrates directly with the Industrial Edge’s Connectivity Suite, enabling users to connect to a wide variety of OT data sources including PLCs, SCADA systems, and industrial protocols. HighByte’s DataOps functionalities extend this connectivity to IT data sources, creating a unified data infrastructure that spans the entire production operation.
A key capability of the integrated solution is data contextualization and pipelining. Using HighByte Intelligence Hub, users can apply flexible and scalable transformation rules to process data from multiple sources across IT and OT domains, adding business context and converting raw operational data into meaningful information. These contextualized datasets can then be made available to IT services in a transparent and scalable manner, with HighByte serving as a true Unified Namespace provider that standardizes data access across the organization. Beyond making OT data available to IT systems, HighByte Intelligence Hub can also be used to adjust machine setpoints in a secure and reliable way, by sending commands from IT data sources – such as manufacturing execution systems (MES) – back to PLCs via Industrial Edge’s Connectivity Suite.
by Gary Mintchell | Jun 8, 2026 | Commentary
I’ve been reading about the brouhaha over new owners and management at CBS and specifically 60 Minutes. I haven’t watched the program for more than 30 years. I haven’t a strong opinion about the journalists or the program.
When Mike Wallace was the lead guy, he practiced “gotcha” journalism. He’d set someone up then spring a trap question designed to throw the subject off guard and show how superior Wallace was. Even if I didn’t like the interview subject, I didn’t like the style. Quit watching—except for maybe Andy Rooney’s commentary, which was always thought provoking and a little off the wall.
Guess who copied the Mike Wallace schtick? President Trump. Remember early in this administration when he’d have a foreign leader visit, invite the press for what is always a smile and greet session, and then spring a trick question along the lines of “when did you stop beating your wife”? I still don’t like that style.
I became a magazine editor in my second career. I used to put people I was about to interview at ease by telling them I wasn’t Mike Wallace there to interrogate them. And smile. I wanted the latest technology and application news, not just to show someone embellishing marketing hype. That’s too easy. And not useful. All y’all can see through marketing hype—I hope.
New ownership and management comes with peril for writers. Check my pivot in 2013 from magazine to independent. At the level of network TV these days everything is political. The people there must learn to live with it or find an alternative. The tensions about trade press always revolve around treatment of advertisers or potential advertisers. (I once met PC Magazine contributing editor John C. Dvorak. Even in the 90s, PC Mag Editors’ Choice awards were influenced by advertising. Not surprised. I’ve seen it, too.)
Being independent means lower income, but I can pick. I truly respect the company that sponsors me. If I didn’t, I have FU money enough to walk away.
But for CBS and 60 Minutes, I’m glad I’m not there. Like they say, it’s the golden rule—those who have the gold make the rules.
by Gary Mintchell | Jun 5, 2026 | Software
Deepgram continues to roll out extensions to its real-time voice AI platform.
- Deepgram and Fortanix are the first to bring confidential computing to real-time voice AI, allowing organizations to protect sensitive conversations and AI models even while they are actively being used.
- Until now, you could protect data when it was stored and when it was moving. The hard part was protecting it while the AI was actually using it. That’s what we’re solving here for real-time voice AI.
- Sensitive enterprise data and proprietary model IP remain private during active inference, with no exposure to underlying infrastructure
From the press release:
Deepgram and Fortanix announced a partnership that will enable enterprises to run voice AI in their own environment on their own terms while ensuring their most sensitive data is securely protected. Under terms of the agreement, Deepgram can leverage Fortanix Confidential AI and NVIDIA Confidential Computing to add an additional layer of advanced security to self-hosted environments to ensure that its proprietary model weights, built on business-critical intellectual property, can be deployed while protecting against model theft or inappropriate use.
For enterprises, especially those in highly regulated industries, security requirements continue to tighten. Organizations handling patient conversations, financial transactions, or classified information increasingly require that sensitive audio and AI model weights remain protected not only at rest and in transit, but also during active processing in their own environments. This level of protection enables organizations to build highly-secure real-time voice applications without sacrificing on performance.
The on-premises solution runs Deepgram’s voice AI models with Fortanix Confidential AI on NVIDIA Confidential Computing-enabled GPUs, creating a hardware-isolated environment where both audio data and model weights remain encrypted and protected throughout active use. NVIDIA GPUs with Confidential Computing enable AI workloads to process sensitive data inside a trusted execution environment — a capability traditional infrastructure cannot provide. By bringing together best-in-class voice AI models, hardware-rooted isolation, and a jointly engineered, pre-integrated stack, the partnership delivers a level of in-use data protection that, until now, has not been practical to deploy at enterprise scale.
by Gary Mintchell | Jun 4, 2026 | Manufacturing IT, Software
Here is a new service—operational decision intelligence. Also a company new to me—SteelTree. They define an operational decision intelligence service as something designed to help industrial teams improve awareness, reduce friction, and coordinate action across fast-moving operations.
The information I could gather combined was very sparse. Not sure why it’s better or worth than anything out there already (unless the “.ai” means something new in AI. It could be worth checking just in case.
The company seeks to help teams move beyond disconnected dashboards, spreadsheets, reports, and silos to improve visibility, coordination, and execution across day-to-day operations. SteelTree enables teams to quickly identify changes, recurring issues, performance drift, coordination gaps, and priorities requiring attention.
The model consists of:
See → Decide → Execute → Learn
SteelTree helps industrial teams:
- See what’s happening
- Decide what matters most
- Coordinate and execute actions faster
- Continuously learn before small issues become larger problems
“Most teams are not lacking systems or data,” said Kanwar Arora, Founder of SteelTree. “What they’re lacking is continuous operational awareness across fast-moving environments. Teams still spend too much time moving between dashboards, spreadsheets, reports, and silos just to understand what requires attention. SteelTree reduces the friction between operational signals, decisions, and action.”
Unlike traditional BI, dashboarding, and reporting tools that often depend on analysts, dashboard development, and delayed reporting cycles, SteelTree is focused on helping teams maintain awareness and coordination without adding overhead.
The company believes many organizations still struggle with operational visibility and coordination despite significant investments in business systems and reporting tools.
“As the software industry races to embed AI across enterprise applications, many teams still struggle with a more fundamental challenge: maintaining awareness across fast-moving operations and coordinating action effectively,” said Peter Price, Founder of SteelTree. “SteelTree starts by helping teams see clearly, but visibility alone is not enough. The real value comes from helping teams decide faster, execute more effectively, and continuously learn across day-to-day operations.”
SteelTree’s launch is focused on industrial teams looking to improve operational awareness, decision-making, and coordination without the complexity typically associated with traditional enterprise analytics and reporting tools.
The service is available immediately with free access.