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

With a proven track record as a Chief Revenue Officer (CRO), SaaS growth consultant, and investor, I specialize in helping SaaS companies achieve scalable, predictable revenue growth through enterprise sales strategies.

Having served as CEO, COO, and CRO across global tech and consulting sectors—including cybersecurity, telecommunications, and retail—I bring a unique blend of leadership experience and operational expertise. I leverage data-driven insights, advanced CRM tools (e.g., Salesforce, HubSpot), and tailored sales strategies to shorten sales cycles, increase win rates, and unlock new revenue opportunities.

My passion lies in partnering with SaaS companies to:

Refine and scale go-to-market strategies for enterprise sales.
Penetrate new markets and close complex, high-value B2B deals.
Empower sales teams through hands-on coaching, real-time feedback, and custom workshops.

Collaboration is at the heart of my approach. I build cohesive, high-performing teams by fostering a culture of continuous learning, open communication, and mutual respect. Through my fractional leadership and targeted coaching, I enable companies to exceed revenue targets, secure long-term client relationships, and achieve sustainable growth.

Whether you’re a SaaS startup looking to scale or an established firm aiming to break into new territories, I can help you unlock your next phase of growth. Let’s connect and explore how I can support your success.

Joshua Behar

Dear Sharona, I am so excited to see your idea getting out of stealth with this important endeavor reflecting years and years of experience. Wishing you much success with #SparkFounder Lab

Founder & CEO, SparkFounder Lab | Turning founder intuition into data | Ex-Lt. Colonel, Head of HR Unit 8200 | Building resilient founding teams

יש רגעים בקריירה שבהם הכול מתחבר, הניסיון, השאלות שצברת לאורך הדרך, והאנשים הנכונים לצידך.
הבוקר הוא רגע כזה.
אני מתרגשת (באמת!) להכריז על ההשקה של  SparkFounder Lab .

אחרי חודשים של עבודה מתחת לרדאר, פיתוח מתודולוגיה לעומק, ושנים של התבוננות בכישלונות ובהצלחות, אנחנו יוצאות לדרך עם מטרה אחת ברורה- לשנות את הדרך שבה נבנים צוותי מייסדים.

תמיד האמנתי שאנשים הם המשתנה הקריטי ביותר.
 ב־8200 ראיתי איך החלטות אנושיות תחת לחץ מייצרות הצלחה או כישלון, והיום אני לוקחת את זה לעולם היזמות יחד עם שתי שותפות שהן פשוט Dream Team: Adi Menahem ויעל קלדרון. זכיתי לבנות אתכן את הדבר הגדול הזה.

אנחנו כאן כדי להנדס את המשתנה האנושי של סטארטאפים.
 לא באינטואיציה. לא במקרה.
 אלא מתוך הבנה עמוקה של אנשים, צוותים והחלטות קריטיות.

זה רק הצעד הראשון,
 והדרך קדימה מרגשת לא פחות.

אנחנו יוצאות למסע כדי להנדס את ההצלחה של הסטארטאפים הבאים. 
תאחלו לנו בהצלחה? (אנחנו נדאג לכל השאר 😉)

תודה ענקית ל-Advisory המדהים שמלווה אותנו בחוכמה ובניסיון (אתם הנשק הסודי שלנו!) Ehud Schneorson, Asaf Kochan ו-Liam Galin. 
ותודה גדולה לYodfat Harel Buchris , David Blumberg, Bruce Taragin , Steve Gillan ולכל הצוות ב-Blumberg Capital על ההשראה, החשיבה החדה והעבודה הקרובה עם יזמים בשלבים הכי רגישים שלהם. הרבה מה-DNA של SparkFounder Lab נולד מתוך ההתבוננות היומיומית בעשייה שלכם ובהבנה העמוקה שהאנשים הם לב החברה.

לינק לאתר: https://lnkd.in/eyQVga3T

#SparkFounderLab #israeliTech #Entrepreneurship #FoundingTeams #FounderPsychology  


 


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