Learn from MISTAKES with AI | Tech Transformation | Innovation | Cloud | DevSecOps

Are you struggling to demonstrate the business value of technology?

With over 25 years of experience driving innovation and architecting complex systems, I've seen fantastic technology fail because it did not adequately address the user needs of the people it was built to serve.

I specialize in creating clarity amidst complexity - bridging the gap between technology capabilities and business priorities. My superpower is quickly grasping the heart of ambiguous problems and rallying teams to deliver solutions that create measurable value.

If you are a technology or business leader tired of:

❌ Chasing the latest hype while struggling to justify budgets

❌ Translating technobabble for skeptical executives

❌ Watching projects derailed by misaligned priorities

I can help you cut through the noise to build innovation strategies and technology roadmaps that move the needle for your organization and fully leverage AI and automation.

My approach combines systems thinking, design practices, and technical fluency to:

🎯 Uncover the root causes of business problems

🎯 Rapidly validate solution ideas

🎯 Deliver technology that users love

🎯 Continually optimize to drive outcomes

I've applied this formula to industry leaders like PepsiCo and helped clients build and integrate critical IoT, cloud, data, DevOps, and AI capabilities. 

Let's connect for a discovery call to explore if my expertise can help unlock value in your technology investments.

Daniel Lemire

83% of AI projects today focus purely on software, leaving a massive gap in the physical world that's about to change dramatically.

What if I told you we've been looking at AI through too narrow a lens?

This year at CES, NVIDIA's Jensen Huang highlighted something I've been thinking about for months:

2026 will be the year physical AI breaks through. 

But here's where most people are making MISTAKES in understanding this shift:

They're thinking robots. 
They're thinking manufacturing.

This isn't wrong, but that's missing the bigger picture.

Physical AI isn't just about machines that move.

It's really about AI that interacts with our physical world in ways we haven't imagined yet:

1. Smart materials that adapt to environmental conditions
2. Infrastructure that self-repairs
3. Buildings that optimize their own energy use in real-time

Transportation, Logistics, Energy, Construction, Service, and many undiscovered opportunities we all get to find!

Think of it like teaching a child. First, they learn to observe (current AI). Then they learn to speak (language models). But the real magic happens when they learn to interact with their environment (world models). 

[ Yes, I think Yann Lecun is right about the future of world models before we can acheive AGI. (but I also don't think that will be the last step)]

That's where we are with AI right now. We are on the cusp of a third breakthrough, we just don't know how quickly the breakthrough will come.

The most fascinating part? The MISTAKES we've made in software AI will actually accelerate the development of physical AI. We've learned a great deal about what works and what doesn't, and those lessons are invaluable.

I'm working on the latest newsletter addition, where I'll go into detail on the ways I will be exploring physical AI in 2026 with AI MISTAKES.

If you haven't taken action on this, don't wait. Get subscribed, and we can Learn from MISTAKES with AI in 2026.

📰 𝗦𝗶𝗴𝗻-𝘂𝗽 𝗳𝗼𝗿 𝗺𝘆 𝗳𝗿𝗲𝗲 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿
📺 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹 
👉 𝗦𝗲𝗲 𝗺𝘆 𝗽𝗿𝗼𝗳𝗶𝗹𝗲 𝗳𝗼𝗿 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗮𝗻𝗱 𝗹𝗶𝗻𝗸𝘀!

ServiceNow AI Consultant | AI MISTAKES | Transformation | DevOps

This is a thought provoking exchange.

We don't talk about today's 'digital labor', but that is a real thing.

Today, you don't need a lift operator to ride in an elevator. The machine handles that labor, but no one talks about those changes because almost no one can remember the time when an elevator required an operator to function. 

I keep going back to the idea that we are repeating the shift that happened at the beginning of the PC era when people began having access to computers.

Today, much of the digital revolution is founded upon the ways that we 'played' with PCs. 

I remember when I was a kid, getting the PC game to work was how I learned to (at first break, and then fix) configure, upgrade and manage computers.

I'm not certain about the age of abundance (we still have to build datacenters), but I do think that if we use the power of our imagination in the right way, we can bring positive change through the use of these great new tools.

What’s the real blocker to AI success? 

It’s no longer about access, now that everyone has the tools. Today’s barrier is imagination. In the age of resource abundance, we need to think bigger.  

So what’s holding teams back from turning AI ambition into action? 

Nick Tzitzon joined global leaders on this AI Skills Panel to unpack how Australia can move from scarcity to abundance and why skills, culture, and mindset will make this shift possible.  

#PutAIToWorkForPeople

Magic happens when brilliant people work together to make an even bigger impact.

I cannot pretend to speak words more succinctly than a highly successful CEO, but I CAN share those words.

Jeffrey shared some treasure today, and he even added a bit of elegant reframing.

I believe this restatement by Jeffrey is what we are all charged with, even if your role does not include responsibility for leading or managing teams.

"Your job is to provide the clarity, culture, and energy that allows a team to move."

This is probably the most valuable blog post I will read all week. 

Thanks for sharing this, Jeffrey Snover.

Open article: Welcome to the Room by jsnover.com

Manu Rehani is a pioneering innovator in the field of Applied Behavioral & Cognitive Linguistics. 

He is an inventor, mentor and board advisor for a number of startups in Texas, California and the EU. After successfully exiting two tech ventures he’s currently focused on developing a new class of emotion-aware AI for general application in custom GPT’s and LLM’s, and specific use in mental health and wellness applications to foster a healthy relationship with self and others through AI. 

His significant prior achievements include authoring patents fundamental to cloud storage and AI language models, and he plays an active role in mentoring at various incubators, at the University of Texas and in the Austin area.

Manu R.

Back after the pause… refreshed, recalibrated, and seeing things with fresh perspective.

Manu Rehani

Founder | Inventor | Advisor | Mentor | Interdisciplinary Innovator

Hello again, and welcome back to The Manuscript. I’m returning to this space after the holidays… a pause that offered what I needed most: time to refr

Open article: Before We Ask AI to Be Moral, We Should Ask It to Be Aware by Manu Rehani • 5 min read

Before We Ask AI to Be Moral, We Should Ask It to Be Aware

Art can be a way to hold complexity, share what's hard to name, and feel less alone in it.

#ArtandMentalWellness #InspirationAtWork #CreativeJourney

David Bowie used art to make sense of an inner world that didn’t always feel simple or quiet. Through characters and reinvention, he showed that you can create distance from overwhelming thoughts without denying them.

That idea sits at the heart of what we try to do at Juniper Collective. We believe art can be a way to hold complexity, share what’s hard to name, and feel less alone in it.

Bowie’s work reminds us that you’re allowed to be complicated… and that community matters when you’re learning how to live with your inner life.

#ArtandMentalWellness #InspirationAtWork #CreativeJourney

David Bowie and his inner world.

AI can transform care, but only when it’s grounded in clinical reality. It was great to join the Healthnix dinner in Austin for a candid talk on what it actually takes to scale with integrity.

To me, one of the major business risks to a new venture in AI is the relative lack of friction offered by partial solutions. It’s easy to gain initial traction with something "light," but the real challenge is maintaining an advantage against those shortcuts. I look forward to learning how Maja Mazur, CEO of Healthnix and Benjamin Woosley of Civilization Fund are navigating that and building for the long term.

Thanks to Chris Beaman and the Investor Dinners team for the invite!

#AIHealthcare #HealthTech #CareInnovation #AustinTech

Some of the most meaningful conversations in healthcare don’t happen on stages — they happen around the table.

Last night in Austin, we hosted a private Healthnix Investor Dinner with an exceptional group of founders, operators, and investors for a candid, off-the-record conversation on what it really takes to scale AI-driven care inside real clinical environments.

Huge thanks to Maja Mazur, CEO of Healthnix, and Benjamin Woosley, GP at Civilization Fund, for grounding the discussion in real-world experience, and to Mike Boyle for expertly moderating the conversation.

Appreciation as well to our CEO, Chris Beaman for facilitating and to Mary Anne McMahon for opening up such a beautiful space for the evening.

These are the rooms where real insight surfaces — honest, thoughtful, and action-oriented.

Thanks for joining us Kyle Robertson Senem Guney, PhD Ben Muñoz Andy Daidone Jean Anne Booth Kevin Przybocki Lara Pavanelli Bril Flint Loren Brink Manu Rehani Jeannie Dang Pablo Sosa Katelyn Donnelly Jake Crowley Dave DeCaprio JOSHUA DISKIN Hemi Thaker Mayur Mehta David Kil Scott Chamberlain Alex Pepe Wesley King Shari Overstreet Michele Skelding Byron Ellis Oliver Farzin-Nia JJ Minerve Michelle Craig Foluke Olaoye Matt Doyle Adam Acheson

Onward to more conversations like this. 

#InvestorDinners #Astronomic #HealthTech #Healthnix #DigitalHealth #HealthcareInnovation #AustinTech #HealthcareLeadership #Healthnix #CivilizationFund

Was Siri ever unintelligent, or simply misattuned?

As Apple moves to integrate Gemini, the question shifts from performance to trust and proximity.

To understand more, read the full article in 'The Manuscript.'

Hello again, and welcome back to The Manuscript. The last time I wrote here, it was about technology again. That was not by design. It happened becaus

Open article: Siri Wasn’t Dumb. She Was Misattuned. Can Gemini Help? by Manu Rehani • 5 min read

Siri Wasn’t Dumb. She Was Misattuned. Can Gemini Help?

They say January is the slowest month. Then February arrives all at once.

Acceleration has a way of distorting perception. What feels sudden is often the outcome of slow, compounding conditions that went largely unnoticed until a threshold was crossed. Ice doesn’t form in a moment; it appears only after the environment has been shifting for some time.

I’ve been reflecting on how this same pattern shows up in technology, organizations, and institutions—how speed tends to surface the quality of trust, clarity, and grounding that already exist within a system.

I explore this more fully in the next issue of The Manuscript: a reflection on scale, trust, and what it means to stay grounded when everything around us begins to move faster: shaped, in part, by a recent book I’ve been sitting with and will be sharing more about soon.

I’ve been spending time thinking about digital assistants, understanding, and what trust feels like when machines sit closer to our daily lives.

Before I share the next essay, I’m curious about something simple.

No judgment here. Just trying to understand where this community actually lives before talking about what it means for these systems to “understand” us better.

Feel free to add a comment if your choice has more to do with trust than features.

taplio

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