I help ANY professional or team have more impact using data. Analytics demystified.

👉 WHAT I DO: I help teams and organizations develop and apply real-world machine learning forecasting skills using Python and Python in Excel.

⚙️ WHO I HELP: Every type of organization will benefit from better forecasts, including (but not limited to):

🏛️ Financial Services
🏥 Healthcare
👩‍🎓 Education
📺 Marketing
📊 Finance
💻 IT 

💰 WHY IT WORKS: In modern organizations, many external factors impact forecasts. These factors include holidays, promotions, capital investments, weather, and global economics.

Machine learning forecasting models can incorporate these external factors to produce more powerful forecasts than can be achieved via commonly used techniques (e.g., Excel's FORECAST.ETS() function).

✅ HOW I DO IT: I work under two operating models depending on your business needs:

"Done with You" - This is a coaching model where I train your team/organization and then help them successfully apply what they've learned.

"Done For You" - This is a consulting model where I do the work on your behalf.

Regardless of the mode, I focus on the nature of your business problem first and foremost. 

Before I write any code or train your team, I partner with you to develop an understanding of your business. With this baseline knowledge, I then bring my 14+ years of analytics and data science experience to the engagement. 

I can use Python in Excel or Jupyter Notebooks - whichever works best for your situation.

📞 READY TO TALK?
Schedule a free discovery call: https://bit.ly/FreeForecastingDiscoveryCall

David Langer

Woohoo! My book has received its first Amazon review. I had one goal for writing Python in Excel Step-by-Step. This goal might seem crazy to some:

To teach ANY professional the Python foundation they need for analytics and the AI-powered future of Microsoft Excel.

I packed the book with many examples of how everyday Excel knowledge translates to Python. The goal was to make learning Python easy and fun for Excel users.

**BUT**

As an author, you never know if your efforts were on target until the book gets into the hands of real people.

As you might imagine, getting this review early in the book's release gives me hope that the book will help many professionals learn the Python foundation they need to:

Unleash the power of their data with analytics.
Partner deeply with the Copilot in Excel AI.

2026 is off to a tremendous start.

Stay healthy and happy data sleuthing!

#Excel #PythonInExcel #MicrosoftExcel

Author. Analytics educator. Microsoft Excel MVP. I help professionals and teams build better forecasts using machine learning with Python and Python in Excel.

Tobias Zwingmann

Author of AI-Powered BI (O'REILLY) | AI Coach & Mentor | I help organizations leverage AI and use data more intelligently to improve business performance. Sharing AI use cases & learnings.

My AI rule is simple. "If it doesn't cut costs, save time, increase throughput, remove risk or unlock revenue, it gets cut".In 5-continent wide enterprises and in the mid-sized companies finding $10k+ monthly savings in unexpected places I've helped, Profitable AI is about the same thing: Finding the overlap of what AI can do and what your bottom line needs it to do.Here's how I can help:→ Read the book: "The Profitable AI Advantage" – Frameworks for finding &amp; executing AI opportunities that pay off→ Use PAIGE: My AI strategy tool that helps you identify and evaluate opportunities for your specific business  → Join the Club: Direct access to me as you implement AI in your business (capped at 100 members)→ Work with me: When you're ready, my firm RAPYD.AI delivers AI strategy consulting and custom implementations that pay for themselves.I share what I'm learning every week in my Profitable AI newsletter – read by 10,000+ professionals who are tired of flashy demos and want real results instead.Follow along if you like. Or better: tell me what you're trying to figure out.

Managing Partner

We help you build amazing AI products faster.

In 2026, building a quick demo is effectively free. AI lets you pace through the Discovery phase at 10x speed. But look at the chart:
 
There is a cliff between Discovery and Delivery.
 
Where the "Exit Probability" spikes.
 
Where you realize the data isn’t ready.
Or the model isn’t reliable enough for a live customer.
Or the edge cases are too expensive to fix.
 
That high failure rate is actually fine. 
It’s a filter.

The problem is if the shipping rate is 0.

Because ROI only happens when you cross the blue line into Production.

Building the "shipping muscle" – to take the one surviving idea and deploy it as a real asset – is the most important skill that counts right now.

(Image adapted from Augmented Analytics, O'Reilly (2024)

Author: The Profitable AI Advantage. Created profits with AI from enterprise giants to 20-person teams.

Aaaaand that’s another wrap! It’s been super fun to record a new hands-on AI course, first time at the LinkedIn studios Graz. Huge thanks to the whole crew Jessica B. Violeta Puerta Cano Gregor Verdovsek Natalie Pao and more for a smooth experience and really cool live action setup. 

Looking forward to the release!

Can’t reveal the title yet, but it you want to build local AI automations without much technical overhead, this one’s for you.

Stay tuned.

PS: Back on the other side of the alps. Biggest benefit of small airports is you can just walk to your plane lol.

No alternative text description for this image

PwC just released a new survey with 4,454 CEOs across 95 countries.

Take a look at this chart:

56% saw zero financial benefit from AI.
Only 12%(!) saw revenue AND cost impact.

What are these 12% doing differently? 

According to the report, the winners have:

✓ AI-ready tech stack and data environment
✓ A clear enterprise AI roadmap
✓ AI governance and risk management in place
✓ People and culture readiness for change

All of which are huge.

But 1 critical piece is still missing. 
(Tbh I think it's the most important.)

I'll break down what that is in Saturday’s newsletter.

Sign up before Saturday, 3:00 PM CET to get it in your inbox.
(Link under my name)

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