MindSpeaking

We've trained 15,000+ people on Data Storytelling. 
Let's talk about training for your team — or your entire organization:

Founder & Trainer

Author of the bestselling book: People Skills for Analytical Thinkers

The Essential Workshops

Member Of The Board Of Advisors

Capgemini

•	Combining Behavioral Science & Data Analytics to improve customer experiences

Managing Consultant - Data & Digital Analytics

•	Lead of Digital Marketing & Analytics capability in the Netherlands 
•	Coach for 8 consultants who reported to me

Senior Consultant

Capgemini Academy

Trained 300+ people on topics like: 
• Storytelling
• Presentation skills

Trainer

Personal development

Traveling, Spanish classes, and writing a book.

Sabbatical for 6 months

Cognizant

Trainer - Interpersonal Skills

Consultant - Digital, Data & Analytics

Junior Consultant - Digital, Data & Analytics

Maastricht University

Taught the course Behavioral Economics to second-year Economics students.

Student Assistant, Behavioral Economics

Gazprom Marketing & Trading

Marketing Intelligence Internship

Research Project Maastricht

•	Conducted contractual market research for multinationals in Brazil for 4 months;
•	Trained by consultancy firms (BCG, KPMG, McKinsey).

Market Researcher - Brazil

Student bar De Uni

President

Data Storytelling & stakeholder communication training | MindSpeaking | The Human Side of Data

Many Data professionals are brilliant.

Their analysis? Razor-sharp.
Their models? Sophisticated.
Their attention to detail? Exceptional.

But translating insights into a story that non-technical stakeholders understand…
 
That’s a different ball game.

In 2015, I presented insights to a group of Marketeers. 

I expected: 
Applause.
Approval.
Action.

But I was wrong. 
Nothing got implemented. 

That’s when I learned the hard truth: technical skills don't drive impact—communication does.

🔹 Stakeholders don’t care about dashboards. They care about decisions.
🔹 Insights mean nothing — until people see why they matter.
🔹 Numbers get forgotten. Stories get remembered.

That’s why I founded MindSpeaking in 2020.
Since then, we’ve helped 15,000+ Data professionals transform from data providers to trusted business partners.

🚀 𝗧𝗥𝗔𝗜𝗡𝗜𝗡𝗚 𝗙𝗢𝗥 𝗬𝗢𝗨𝗥 𝗧𝗘𝗔𝗠
Want your team to move from presenting numbers to influencing decisions?
Let's talk: 
MindSpeaking.com/companytraining



Free Resources: 

📙  𝗕𝗢𝗢𝗞
People Skills for Analytical Thinkers 
#1 bestseller — read a free preview:
▪️ MindSpeaking.com/book

🧠  𝗙𝗥𝗘𝗘 𝗘𝗠𝗔𝗜𝗟 𝗖𝗢𝗨𝗥𝗦𝗘
Want to turn Data into compelling stories? 
Join 4,100 Data pros and take my free email course (only 2 min/day): 
▪️ www.mindspeaking.com/datastorytelling 

📊  𝗙𝗥𝗘𝗘 𝗦𝗘𝗟𝗙-𝗧𝗘𝗦𝗧
How skilled are you at Data Storytelling?
Take the free self-assessment (5 min) and grow to the next level:
▪️ MindSpeaking.com/maturity-model

Gilbert Eijkelenboom

Stop dumping data. Start telling a story. 
Here are 4 tips:

Most data professionals think their job is to present numbers.

But numbers alone don’t create impact. 

If stakeholders don’t get the message instantly, they’ll tune out.

Before: Data Dump
❌ Lots of colors → No clear focus. 
❌ Just raw numbers → No clear message.
❌ No direct labeling → Hard to read values.
❌ Stakeholders confused → “What’s the takeaway?”

After: Simple Storytelling
✅ Fewer colors → Only for emphasis.
✅ A clear title → Explains the insight.
✅ Simple annotation → Highlights the key change.
✅ Direct labeling → No guessing, numbers are clear.

If people have to decode your charts, you've lost them.

Be the guide. 
Tell people where to look. 

Agree? Share your #data visualization tips below.

♻️ Liked it? Repost to your network.
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Data Storytelling training | Bestselling author: People Skills for Analytical Thinkers | Founder of MindSpeaking | Building the Human Side of Data

🤬 Data pros…
 Heard any of these before?

“Can you export to Excel?”
“Make the data support my decision.”
“I need it today.”

Happens.
A lot.

Here’s how to push back without friction:

1. Ask the “hidden question”
 ↳ Stakeholders often ask for a solution instead of the problem.
 ↳ Say: “What decision will this help you make?”
 ↳ This shifts the conversation instantly.

2. Reframe urgency
 ↳ “I need it today” usually means “I’m under pressure.”
 ↳ Respond with: “I can give you X today, Y tomorrow. Which helps you most?”

3. Use the “menu method”
 ↳ People love options.
 ↳ Offer 2–3 clear paths with trade-offs.
 ↳ It reduces endless back-and-forth and builds trust fast.

4. Translate gut feelings
 ↳ When someone says “the data doesn’t fit my gut”…
 ↳ Ask: “What outcome were you expecting?”
 ↳ Now you can compare reality vs. expectation.

Do you hear these lines often?

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Most trainings feel great in the room.
Two weeks later? Nothing sticks.

That’s not you. That’s your brain… roasted.

One-off training dumps everything at once.
Feels useful in the moment.
But then you get back to work.
Back-to-back meetings.
200 emails waiting.

And all those “new skills”?
Gone.
That’s why lasting change needs a different recipe.

Here’s how we build communication skills that stick for data professionals:

1. Time in between workshops
↳ Spaced repetition beats cramming.
↳ Spread learning over days, not one long session.

2. Learn > Apply > Learn > Apply
↳ Theory alone fades. Practice makes it stick.
↳ Learn a little. Then apply it in your work.

3. Specific for the audience
↳ We practice with your real stakeholder challenges.
↳ That’s how skills transfer to your day-to-day.

That’s how habits form.
That’s how skills stick.

That’s how Data professionals stop being seen as order takers.
And start being seen as trusted partners.

♻️ Liked it? Repost to your network.
👉 Follow Gilbert Eijkelenboom to learn Data Storytelling skills that stick.

JSESSIONID

Feed | LinkedIn

li_at

linkedin.com

🪦 RIP Dashboards: 5 Psychology Hacks to Stop Your Work from Dying

You spent weeks building it.
Stakeholders said, “Looks great!”

And then… silence.

❌ No one opens it.
❌ No decisions.
❌ No impact.

Your work deserves to be used.

Here’s how to make sure your insights don't die 👇

1. The Think-Aloud Protocol
🔹 Stop asking, “Is this useful?” people don’t know. Instead:
🔹 Hand them the dashboard. Let them talk out loud as they explore. 
🔹 Watch where they click, pause, and get stuck, this reveals problems.

💡 Usability expert Jakob Nielsen: 
“Users will never tell you what’s wrong. But they’ll show you.”

2. The IKEA Effect
🔹 Ask early: “What do you think?”
🔹 Show them drafts, not just the final version.
🔹 Let them tweak a few things, it makes them feel ownership.

💡 The more they’re involved, the more they’ll use it.

3. Design Thinking: Build for How They Work (Not What They Ask For)
🔹 Watch how they work today, where’s the friction?
🔹 Prototype early. Refine fast. 
🔹 Don’t spend weeks working on the wrong thing.

💡 If they struggle to use it, it’s not them, it’s the design.

4. Hick’s Law: Simplify or Die
🔹 Cut 20% of elements right now.
🔹 Highlight one key insight they should act on.
🔹 Pre-set defaults instead of making them tweak everything.

💡 Less friction = faster decisions.

5. The “Last Mile” Problem: Put Insights Where They’ll Be Seen
🔹 Push critical insights where people already work (Slack, email, CRM).
🔹 Example: Sales gets an alert when revenue drops below target.
🔹 Meet them where they already work, so data doesn’t get ignored.

💡 Make insights part of their workflow, not an extra step.

In short:
- Make it simple.
- Make them part of the process.
- Make sure it drives action.

Ever built something that no one used? 

♻️ Liked this image? Repost to your network.
👉 Follow Gilbert Eijkelenboom for more data tips.

🚨 BREAKING NEWS 
“Urgent data request! Stakeholder needs it TODAY!”

The newsroom goes wild.
Data teams scramble.
Dashboards, reports, insights, rushed out at record speed.

Mission accomplished.

Three weeks later…

Silence.

Nobody touched the report.
Not even once.

Why?

Because urgency ≠ importance.
Because half the time, stakeholders don’t even know what they’ll do with the data.
Because “ASAP” often means “I just want it off my plate.”

And yet, we drop everything.
Again and again.

Here’s the thing, data isn’t breaking news.
It’s decision fuel.

So next time?
Push back.
Ask what decision this will drive.
Ask when they actually need it.
Ask if it’s worth dropping everything else.

If they don’t have a clear answer?
It’s not urgent.


Have you received many urgent requests? 

♻️ Liked it? Repost to your network.
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90% of Data Analysts miss this.
It’s how they talk to stakeholders.

Not the tools.
Not the tech.

The conversations.

Here’s the cheat sheet I wish every Analyst had:

📝 When a request is vague
 – What decision does this help you make?
 – If you had the answer tomorrow, what would change?
 – If we could only answer one thing, what matters most?

🚫 When you need to push back
 – How does this request influence a decision?
 – What happens if we don’t do this?
 – To move forward, I need [data/input/approval]. Can you provide that?

🎯 When aligning on goals
 – What does success look like to you?
 – Who will use this insight?
 – What outcome makes this worth it?

📊 When presenting insights
 – Here’s the key takeaway…
 – If you remember one thing, let it be this…
 – Here’s what this means for the business…

⚡ When stakeholders disagree
 – I hear you. What’s behind that concern?
 – Which part doesn’t match your experience?
 – Let’s explore where we see it differently.

🤝 When building trust
 – What are your priorities this quarter?
 – What’s your team’s biggest challenge?
 – What would make this a win for you?

Because great communication doesn’t start with answers.
 It starts with better questions.

♻️ Liked it? Repost to your network.
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It’s 2015, and I step into a meeting room in Seoul 🇰🇷. The commercial director is Korean. He shakes hands with my Dutch colleagues, all in their 40s. I extend mine too, but with my babyface, I look like a 20-year-old who just came to take notes. He leaves me hanging.

In that moment, I feel invisible.

But after a minute I realize, it’s not about me. It’s more about cultural differences, assumptions, and expectations.

The next time a colleague snaps at you,
Don’t take it personally.

Chances are, it has more to do with them than with you.

Maybe they missed a promotion.
Maybe they had a bad night’s sleep.
Maybe they’re juggling too many deadlines.

Yes, we can set boundaries.

But here’s what I’ve learned:

The more we realize the world doesn’t revolve around us,
the easier work and life become.

Do you agree?

♻️ Repost to help fellow data professionals.
Follow Gilbert Eijkelenboom for tips on Data Storytelling.

Your dashboards need a diet.
Here’s how to trim the fat:

Many dashboards are stuffed.
Every metric. 
Every filter. 
Every chart.

Just in case.

But here’s the problem
Too much info = No focus.
No focus = No action.

A great dashboard is like a Michelin-star dish.
Balanced.
Curated.
Easy to digest.

The best data professionals know this.
They don’t dump data.
They craft a story.

Next time you build a dashboard…

Ask yourself:
What’s the main question end-users need answered?

Then serve that.

Have you seen this happen?

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#data #analytics #bi

#Data storytelling done right.
Here’s the step-by-step process to turn data points into a clear, action-driven story.

From table to takeaway:

Step 1: Define the goal
↳ Write the one decision you want to influence.

Step 2: Understand the audience
↳ What is the decision they want to make with this data?

Step 3: Extract the key message
↳ Scan the table. What’s the one thing relevant for my audience?

Step 4: Write the headline
↳ Turn the key message into a sentence on top.

Step 5: Choose the right visual
↳ Replace the table with a simple chart that fits the message
(comparison → bar, trend → line).

Step 6: Put everything in grey
↳ Set all bars, lines, axes, and labels to light grey.

Step 7: Highlight the key point in color
↳ Color only the critical bar or line segment
(e.g., Online in Asia = red, -8%).

Step 8: Label the insight on-chart
↳ Add a short callout: “Online -8% drives Asia decline.”

Step 9: Add the recommendation
↳ One sentence that tells them what to do next.

Step 10: Trim the noise
↳ Remove gridlines, extra decimals, duplicate legends.

Step 11: Sanity check the story
↳ Read the slide top-left to bottom-right. Does the path make sense?

Step 12: Test with a colleague
↳ 10-second test: “What’s the message?”

That’s it.
From table to takeaway.
From noise to narrative.

Question:
Which step do you like most?

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Stop speaking data.
Start speaking business.

Because here’s the thing:

When you say “accuracy improved to 85%”…
…your stakeholder doesn’t know what that means.

Will it save time?
Grow the business?
Make customers happy?

If they don’t see it, they won’t act.

The solution?
Translate data into business language.

Here’s how:

Example 1 — Model accuracy → Business
❌ “Our fraud detection model improved from 78% to 85%.”
✅ “700 more fraud cases caught, saving $2M annually.”

Example 2 — Operational data → Business
❌ “The average response time of our customer service chatbot decreased from 17 to 11 seconds.”
✅ “Customers now get answers 35% faster. That keeps them from dropping off and boosts retention.”

Example 3 — Marketing metrics → Business
❌ “Conversion for campaign B was 2.1%, compared to 1.4% on campaign A.”
✅ “Campaign B brought 3,000 extra people to visit our product page. That’s $450k in potential new revenue.”

That’s the shift.
From numbers.
To impact.

Do you think speaking business language is important?

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Data storytelling doesn’t start with slides.
It starts with a goal.

If you want people to value and use your insights…

Do THIS, before your meeting 👇

1. Write your goal in one sentence
↳ What decision or action do you want?
↳ Phrase it as: “After this meeting, I want them to…”

2. You’ll walk in with clarity. And so will they.
List 3 questions you’ll ask
↳ To uncover what they really need.
↳ Use open-ended ones: “What would success look like for you?”
Helps you steer the talk instead of reacting.

3. Prepare objections
↳ Where might they push back?
↳ Draft 1–2 plain-language answers.
Saves you from getting defensive or lost in technical detail.

4. Reach your goal
↳ If they remember one thing, what should it be?
Write that takeaway on a sticky note.
Keep it in sight.

That’s how to make your data story land.
Do you set your goal before your presentations?

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Most data presentations fail.
Too much detail.
Too much jargon.
No clear message.

Stakeholders tune out.

The problem?

You spend weeks on analysis.
But the slides kill the insight.

That’s why I made this:

Top 7 Data Presentation Mistakes
❌ Data dumping
❌ Buried insights
❌ Color overload
❌ No business link
❌ Weak chart titles
❌ Lost in translation
❌ No recommendation

✅ With fixes you can apply today.
Save it.
Share it.
Use it.

Because your insight is only as strong as your presentation.
👉 Which mistake do you see most often?

Stop giving stakeholders homework.

❌ What most Data professionals say:
“This slide shows all the metrics for Q1, split by channel and segment.”

What business people hear:
Homework.

The message?
Blurry.

The insight?
Lost.

Here’s the clear version:

🌎 Context
Overall, sales grew in Q1.

⚡ Problem
But when we look deeper, sales dropped 13% in Europe.
Especially online sales is underperforming.

➡️ Recommendation
I recommend reviewing the campaign strategy.

Clarity beats complexity.
Every time.

Do you think data storytelling is a must-have skill today?

Stakeholders keep asking for dashboards... but do they actually use them?
Don’t just serve more dashboards. Take these 3 steps instead.

For all new requests, use the 3 C’s:

1️⃣ Connection
Build trust first. Show you care about their needs.
↳ Acknowledge their request: "I see these insights are important to you."
↳ Set the tone: "Let’s dive deeper to discover how I can best help you."

2️⃣ Curiosity
Ask the right questions to uncover the real need.
↳ "What business problem are we solving?"
↳ "What does success look like?"
↳ "What decision are you trying to make?"

3️⃣ Clarity
Set clear expectations and push back when needed.
↳ Reframe their request to avoid endless rework:
↳ "Instead of tracking every KPI, let’s create a simple dashboard showing which channels drive the most revenue, so you can optimize your budget."

💡 Next time a stakeholder asks for a new dashboard...
Don’t just serve it right away. 
Start with the 3 C’s and deliver insights they’ll actually consume.

Can you relate? 
Have you ever seen dashboards go unused?

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Stakeholders aren’t analysts.
Don’t make them act like one.

❌ How not to present data:
“We analyzed revenue by channel in Q1.
First, we cleaned the data.
(…)
You’ll find all breakdowns for stores, e-commerce, and wholesale.”

✅ Data Storytelling:
“Revenue dropped 12% in Q1.

What we saw:
Offline sales down 20%.
Online sales up 8%.

Here’s the surprise:
Our customers tell us they are willing to spend more online.
But we see 30% drop at checkout.
That’s lost money.

We need to fix checkout.
Then two things happen:
→ Online grows faster.
→ We recover lost revenue.”

That’s the shift.
From analysis.
To action.

♻️ Repost to help fellow data professionals.
Follow Gilbert Eijkelenboom for tips on Data Storytelling.

😈 Data brain says: “Add more detail.”
👼 Business brain says: “Get to the point.”

Ever feel this?

Welcome to the inner war:
Data brain vs Business brain.

If you’ve got both, congrats.
But if you lead with the wrong one
You’ll lose your audience.

Here’s how to balance both 👇

1. Start with the impact
↳ Your audience’s brain is noisy
↳ Hook them in 1 line: “Sales dropped 28%, here’s why.”

2. Then give data as proof
↳ Now that they care, show the logic
↳ “Conversion rate fell after we removed the free trial.”

3. Keep details optional
↳ Add depth… but let them pull, don’t push
↳ “We’ve got a breakdown by channel if needed.”

You don’t have to choose sides.
Just pick the right one to speak first.
That’s the trick.

Who wins in your mind?
Data or Business brain?

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Most analysts don’t know how to persuade.
They share the numbers.
They show the charts.
Still… stakeholders don’t listen.

The problem?
Persuasion isn’t about giving more data.
It’s about making people feel heard.

That’s where the AVP Framework comes in:
👂 Ask
✅ Validate
🚀 Persuade

I put together a one-pager with a real example.
Save it.
Use it.

Because the analysts who build influence…
Are the ones who make the biggest impact.

Do you agree?

♻️ Repost to help fellow data professionals.
Follow Gilbert Eijkelenboom for tips on Data Storytelling.

I love this image.
Same outfit for 40 years.

In data teams…
People keep evolving their tech stack. New models.

New tools.
New frameworks.

But when it’s time to explain their insights…
they fall back on the same old patterns.

Too much detail.
Too much jargon.
Same beige sweater.

This makes our audience fall asleep.
And that’s why brilliant work still gets ignored.

We need to present our data so that stakeholders say:
Tell me more!

The best way to do that?
Storytelling.

👉 Follow Gilbert Eijkelenboom for more Data Storytelling tips.

Here's an example: 
> Do you ride a bicycle regularly? Tamara did too. But one day in 2018, that changed.

She biked to work, thinking about her next meeting.

Then, all of a sudden, a car appeared. 

The car hit Tamara from the side, her head smashing on the street. 

She got into a coma.

I sat beside her hospital bed, holding her hand.

Days passed by. 

Weeks passed by. 

Months passed by.

I thought she'd never wake up. 

After 6 months, she opened her eyes. Luckily, Tamara survived.

But until today, she's unable to read.

Tamara isn't an exception. 

Accidents with bicycles are on the rise. 

People with a helmet have 88% less risk of brain injury.

So when you go out on your bike today 

Wear a helmet.


Why is this more persuasive? 
✅ Helps the audience visualize
✅ Includes tension and emotion
✅ Brings the data to life by zooming in on one character
 
More tips: 

1. Bonus points for personal stories

2. Business story? Use customer personas.

3. Use cognitive biases to your advantage. Example: loss aversion. Instead of telling people what they will keep (safety), tell them what they risk losing (ability to read). 

4. Know your audience. Don't even try convincing Dutch people to wear a helmet 😉

Most data professionals stop at Earth View:

“Here’s everything. Good luck!”

But stakeholders don’t want the whole planet.
They want the street they’re standing on.

That’s the shift:

From showing all the data
→
to highlighting what matters now.

Data storytelling isn’t about more data.
It isn’t about more charts.
It’s about zooming in.

Get on the street.
Show them the red light.
Show them what’s urgent.

Because presenting data isn’t about informing.
It’s about influencing decisions.

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👉 Follow Gilbert Eijkelenboom for grounded storytelling advice.

Syniti

Partnering with customers to guarantee outcome and business value certainty by providing best practice Data Strategy, Management, Governance and Business Transformation thought leadership. 

In this role of trusted advisor, I will place emphasis on the importance of furthering Organizational Data Literacy and the recognition that it is People and Processes that need to be enabled with the right Competencies, Behaviours and Controls, supported by Technology, which is rarely the opening salvo and never the "easy button" in solving the most difficult and complex Data challenges.

From Strategy to Solution Development, Pre-sales to Business Development, Consulting Service Delivery to Social Outreach as a thought leadership voice, both written and spoken for customers, partners, practitioners and #DataDriven #DataHeroes everywhere.

At Syniti and for me, #Data isn't just what I do, It's why I #Exist.  

Bringing Data To Life So You Can Live Your Impossible & Best #DataLife is my TRUE #JustCause

Senior Delivery Partner

Responsible for the defining, rollout and sustainable operationalization of the Data Strategy practice globally, supporting enablement across both partner and regional delivery teams, ensuring customer success.  Defines and ensures best practices and methodology are followed and continually improved.  An evangelist for Data Strategy internally and externally, including in trade publications, published thought leadership content and social media channels.

Global Director of Data Strategy

Why We Exist: Accelerating global and human progress, one data challenge at a time

For 20+ years, Syniti (formerly BackOffice Associates) has been solving the world’s most complex data challenges. Today, we have over 900+ data specialists in 25 offices around the globe, headquartered in the greater Boston area. We are globally recognized, and have brought out unique capabilities — the market’s top data specialists, validated industry knowledge and proven methodologies — to bear on thousands of data transformation projects for Forbes’ Global 2000 organizations.

We solve complex enterprise data transformation challenges by combining data expertise, intelligent software and packaged solution accelerators to yield certain and superior business outcomes. Our software applies automation and guidance infused by AI and machine learning technologies to data migration, data quality, analytics, master data management, metadata management, and information governance initiatives. Together, these ‘data superpowers’ create synergy between data and business to further enterprise knowledge, unlock new sources of potential, embed simplicity, and liberate new possibilities for growth.

Delivery Partner

Manitoba Hydro

Empowering people and teams to achieve best in class Data and Business Outcomes. My focus is the operationalization of Data Migration and Data Quality processes that fuel and power an enterprise-wide Digital Transformation.
My everyday compass: turning #BusinessReady #Data into measurable Business Outcomes — accelerating the utility’s journey toward smarter, cleaner, and more connected operations.

Senior Data Delivery Partner, People Enabler

Sobeys

Accountable for #CustomerSuccess by operationalizing Data Migration, Business Transformation and Data Quality business processes. The measuring stick of realizing tangible Business Outcomes through delivery of #BusinessReady #Data is my Every.Day compass!

Data Strategy, SAP Program

Lactalis Heritage Dairy

Oldcastle BuildingEnvelope

Create and Operationalize an interoperable Canonical Data Model and MDM publish/subscription service to Deduplicate, Harmonize,and Enrich Enterprise Master Data across disparate legacy and modern ERP systems.

Solutions Architect - Enterprise Data Harmonization

Data Migration Lead

The Boston Beer Company

Data Strategy Lead

Joyson Safety Systems

Leading and supporting an enterprise wide digital transformation program

Toyota Canada Inc.

Striving daily for excellence and enablement of Business and Data Transformation to deliver superior Business Outcomes and contribute to a best-in-class solution for all business and operational units.

S/4HANA Data Migration Lead

Loblaw Companies Limited

Striving to deliver excellence in Data Quality, Readiness and superior Business Outcomes.

BackOffice Associates, LLC

BackOffice Associates® is a worldwide leader in data migration and information governance solutions, with a concentration on enhancing ERP data quality since 1996. Our range of products and services address the needs of business and IT users seeking to unlock the value of their data assets. Whether monitoring ongoing information quality, or executing the most complex migration and governance initiatives, BackOffice Associates is the clear choice for customers requiring “Business-Ready Data Every Day™”. BackOffice Associates is a global corporation headquartered in Massachusetts with additional offices in the US, Europe, Asia, India, Australia and Mexico. Company information is available at www.boaweb.com.

A senior IT business-minded strategist, with a proven track record of aligning people, process and technology to drive growth and support innovation.  A natural leader who has demonstrated the ability to build high performing teams, leveraging his passion for coaching and mentoring to foster a culture of continuous improvement. With extensive ERP and SAP experience in a variety of roles, Pedro is a versatile leader, able to switch gears easily – whether from a Leadership Team setting performing strategic visioning, down to working with technical teams engineering sustainable business process solutions around a white board.  Accomplishments include success at transforming IT teams, designing innovative supply chain solutions and harnessing emerging technologies such as social media and knowledge management platforms to deliver measurable business outcomes. Pedro views every project as a business project - an outcome driven business partner that excels at maximizing the result from IT investments - whether that be growing sales and increasing market share to improving associate engagement, productivity and driving operational efficiencies.

A technical evangelist who has made unlocking the infinite potential of #Data his just cause, with exceptional organizational and interpersonal skills, able to innovate practical solutions to complex business challenges while inspiring and growing talent around him. 

Teaching and Mentoring those around me, while listening, learning and growing through the experience of doing and mentoring by others is both a blessing and a privilege. 

“Making IT Work” is not just what I do, it is at the core of why I do what I do and the North Star that ignites and fuels my passion!

Specialties: Data Strategy, Data Migration, Data Governance, Data Integration & Interoperability, Business Intelligence, Analytics, Business Process re-engineering, Agile, Transactional Six Sigma, SAP/ERP

🥷PEDRO CARDOSO - The Data Ninja

This is what IT calls “𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻.”
What Senior Leadership calls “𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻.”
What AI Agentic call “𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻.”

Meanwhile, back at The Data Team corporate ranch, the ones who actually need to build, deploy, support, and fight the ghosts of Technical Debt? We are just praying nothing bursts into flames while Data, AI, Cloud, Governance, Digital Tranformations, and 27 shadow SaaS subscriptions are all duct-taped into the same outlet.

If you listen to the noise, AI Agents are already on their way to automate your enterprise. Meanwhile, we're battling missing firewall rules and SharePoint bloat because no matter how much money we spend on ERPs, Snowflakes, and DataBricks, everything seems to still end up in Excel Spreadsheets with advanced metadata coded into file names using the "underscore" pattern and tags like {PREV, LATEST, DELME, DONOTUSE, FINAL, FINAL_FINAL, ...}

And if you aren't dealing with multi-adapter chaos mode and having to borrow someone's power brick several times a week to charge your laptop because the number of hours you are sitting in meetings that are just teams calls continues to outpace the improvements in battery life — pause, no answer needed — ‘cause I know you are.

So let's take a breath, we're still somewhere between the Windows 95 and Windows 98SE time of AI things. Maybe Windows NT4.1. It's still super important to focus on Data First!

Follow me if you like the honest, sarcastic, Data Ninja realism, often servied with a side of humour, on Data, Insights, Tech, and Techies, and the “AI but make it about Humanizing business outcomes” and the #PeopleMatterMost  reputation revolution.

Hit the 🔔… because even my notifications are more organized than this wiring.

#AI #Agents #DigitalTransformation #DataNinjaChuckles #DataNinja 
#DATAiMatters #Syniti #Capgemini #Humanizing #Empathy #BeKind

🥷Pedro Cardoso, P.Eng, CBIP

Perpetual AI, Data, & People Curiouser | Technology Humanizer | Runs on Data, Driven By Passion, Fuelled by Human Intelligence Moments | GirlDad

LinkedIn 3 years ago was all business.
LinkedIn today, is filled with monkey business. But...
It’s easier to find diamonds in the rough now!
   
Because the rough, is basically the whole 2025 landscape. If you can still talk about real work, and actually do the real work - the architecture, delivery, outcomes, craft, failures, learnings, and human moments...

...You don’t just stand out…you shine like a Diamond in the rough, by default.
   
Thanks to Eduardo Ordax for this great meme he shared, and the inspiration for this #Data ninja post! If you don't follow Eduardo yet, you're in for a treat, and you are very welcome! 

Follow me, and be inspired by your learnings from week # 47, and your best, yet to come, in week # 48! 

#DATAiMatters #PeopleMatterMost #DataFIRST  

𝙁𝙤𝙪𝙣𝙙 𝙩𝙝𝙞𝙨 𝙪𝙨𝙚𝙛𝙪𝙡? give it a 👍 or 💙 
𝙀𝙭𝙘𝙞𝙩𝙚𝙙 𝙗𝙮 𝙩𝙝𝙞𝙨? ♻️ REPOST to your network
𝙉𝙤𝙩 𝙛𝙤𝙧 𝙮𝙤𝙪? 🫤 𝘚𝘖𝘙𝘙𝘠, but maybe 👍 for someone you know?

Don't follow 🥷Pedro, the O.G #DataNinja yet?
>𝟮𝟭𝙆+ 𝙤𝙩𝙝𝙚𝙧𝙨 𝙙𝙤. 𝙒𝙝𝙖𝙩 𝙖𝙧𝙚 𝙮𝙤𝙪 𝙬𝙖𝙞𝙩𝙞𝙣𝙜 𝙛𝙤𝙧? 𝙇𝙚𝙩'𝙨 𝙂𝙊!

Perpetual AI, Data, & People Curiouser | Technology Humanizer | Runs on Data, Driven By Passion, Fuelled by Human Intelligence Moments | 🏃🏻‍♂️ Follow & Learn: BE ⬆️ Human + ⬆️ Trusted + ⬆️ 🥷

Marking 15 incredible trips around the sun with Syniti, a part of Capgemini. Grateful for the challenges, the growth, and the amazing colleagues, teams, and friends I get to work with and learn from every day. 

Thank you, Syniti, where our best is always still to come! 

Special mention to Google Gemini for the animated banner flourish and musical notes! 

#DATAiMatters but #PeopleMatterMost
also, #DataFirst🥷

Perpetual AI, Data, & People Curiouser | Technology Humanizer | Runs on Data, Driven By Passion, Fuelled by Human Intelligence Moments

“𝗚𝗼𝗼𝗱 𝗺𝗼𝗿𝗻𝗶𝗻𝗴, 𝗜’𝗺 𝗮𝗯𝗼𝘂𝘁 𝘁𝗼 𝗱𝗲𝘀𝘁𝗿𝗼𝘆 𝘁𝗵𝗲 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗮𝗻𝗱 𝗗𝗕.”
This is how data leaders age 10 years before lunch.
...with the Teams PTSD ring tone blaring away.

It's impossible to pay down Interest on the Technical Debt. You need to start paying down the debt. The modern data engineering + data world is chasing AI ghosts, and moving so fast that one slip, one typo, one rogue keystroke…can turn a "normal" Tuesday into a career-regrettable event and an 8am emergency war room.

I air quote "normal" because the operational definition of this is fluid and elusive in 2025. Am I wrong? I know I'm right, but still, we must laugh. 

I always say, turning a frown upside down, if even for a moment, pays huge dividends.

We laugh at this stuff because humor is literally how we stay sane in this industry. Or at least that's my most frequent script that I fill and follow. The realty is, nothing is "quick" anymore. Too many of my previously tight and swift atomic habits are now tangled process chains that make even the simplest of asks a side quest that I need to get hydrated for, and maybe pack a snack. 

Behind every “quick deploy” is someone who hasn’t slept right in 3 days, trying to keep 14 parallel priorities alive, while Slack, JIRA, ADO, Teams, and 3 projects are all fighting for attention at the same time. To say nothing about the people under your charge that matter most.

Data and software don’t fail alone. But Humans break under the weight long before the database does. As someone who has been online since 1990, can still type at 90+ WPM, read many things at 500+ WPM, still do just about anything I've ever done in IT in the past 30 years even faster, now with 5 computers around me and 3 solid AIs at my beck and call — 2025 has crushed me, time and time again.  Like no other trip around the sun before.  

So, I know the struggle is so real. 
So, slow down.

Shipping is important. ->YES!
Customer success is paramount. -> FOR SURE!
Failure is not an option. -> OK, HECK YEAH!

But Breathe. Align. 
Protect your people. Protect your outcomes. 
Protect your SELF.  

Trust is non-negotiable.
Health isn't forever renewable.
Your family, friends, community, need you always.

That’s the real Data Ninja code.

#DATAiMatters #PeopleMatterMost #DataFIRST  

𝙁𝙤𝙪𝙣𝙙 𝙩𝙝𝙞𝙨 𝙪𝙨𝙚𝙛𝙪𝙡? give it a 👍 or 💙 
𝙀𝙭𝙘𝙞𝙩𝙚𝙙 𝙗𝙮 𝙩𝙝𝙞𝙨? ♻️ REPOST to your network
𝙉𝙤𝙩 𝙛𝙤𝙧 𝙮𝙤𝙪? 🫤 𝘚𝘖𝘙𝘙𝘠, but maybe 👍 for someone you know?

Don't follow 🥷Pedro Cardoso, the O.G #DataNinja yet?
>𝟮𝟬𝙆 𝙤𝙩𝙝𝙚𝙧𝙨 𝙙𝙤. 𝙒𝙝𝙖𝙩 𝙖𝙧𝙚 𝙮𝙤𝙪 𝙬𝙖𝙞𝙩𝙞𝙣𝙜 𝙛𝙤𝙧? 𝙇𝙚𝙩'𝙨 𝙂𝙊!

Proud to level ⬆️ up:certified as 𝗠𝗶𝗴𝗿𝗮𝘁𝗲 𝗔𝗗𝗠𝗠 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿
Another blade sharpened. Schedule it up, get it done!
Let's go sharpen the rest of 'em Syniti Services!!

Data Migration isn’t about moving fields,
It’s about moving businesses forward. 

𝘞𝘦'𝘳𝘦 𝘢𝘭𝘭 𝘩𝘦𝘳𝘦, Syniti & 𝘈𝘋𝘔𝘔 𝘴𝘵𝘳𝘰𝘯𝘨 𝘧𝘰𝘳 𝘢𝘭𝘭 𝘰𝘧 𝘪𝘵!
𝘏𝘢𝘱𝘱𝘺 𝘞𝘦𝘦𝘬 48 𝘦𝘷𝘦𝘳𝘺𝘰𝘯𝘦!
   
#DATAiMatters #PeopleMatterMost #DataFirst

I stepped out for a Humanizing Moment in the wild.
Cafe Galata opened up in home town Guelph!
Selcuk & Alper served me the best Turkish ☕️!

Week 47 crushed my soul and almost (literally) broke my back, but in addition to being #𝘂𝗻𝘀𝘁𝗼𝗽𝗽𝗮𝗯𝗹𝗲, I, and #𝗮𝗹𝗹𝗼𝗳𝘂𝘀, must stay strong and be #𝘂𝗯𝗿𝗲𝗮𝗸𝗮𝗯𝗹𝗲. I powered through my still privileged #𝗱𝗮𝘁𝗮𝘃𝗲𝗿𝘀𝗲 week, but it was un vie beaucoup dur, muy duro, muito difícil, but I powered through it all. 

I had to step out today, to visit our newest community coffee shop - a Turkish delight!

Left to right are Alper Esat, Selcuk Demiriz, Enes Bilgesu and Zeynep Usak. Enes and Selcuk met eight years ago in Canada. They both have Turkish roots so opening Cafe Galata and serving Turkish coffee and pastries has been a last two years passion in the making.  

Enes calls Turkish coffee, espresso on steroids.  Selcuk and his co-owner want to create a place for people to make memories over coffee. They have succeeded - the inside of this place is welcoming and calming. Less than 5 minutes away from the #DataNinja lair, I will do an afternoon work-away-from-home pitstop this coming Week 48. 

It was a heck of a week, with MIN(LINKEDIN) but MAX(HUMANIZING_MOMENTS) - even a couple of humbling ones, albeit factually clouded ones.

Who made a virtual but real difference in my Data life this past week:
𝗥𝗼𝘅𝗲𝗹𝗹𝗲 𝗟𝗮𝗺𝗼𝘂𝗿 𝗱𝗲 𝗢𝗹𝗶𝘃𝗲𝗶𝗿𝗮 𝗦𝗮𝘀𝘀, 𝗔𝗶𝗹𝗲𝗲𝗻 𝗥𝗮𝗺𝗼𝘀, 𝗭𝗮𝗰𝗵 𝗪𝗶𝗹𝘀𝗼𝗻, 𝗗𝗮𝘃𝗶𝗱 𝗪𝗶𝗹𝗹𝗶𝗮𝗺𝘀𝗼𝗻, 𝗞𝗲𝘃𝗶𝗻 𝗠. 𝗖𝗮𝗺𝗽𝗯𝗲𝗹𝗹, 𝗢𝗹𝗶𝘃𝗲𝗿 𝗞𝗹𝗲𝗶𝗻, 𝗝𝗮𝘆 𝗚𝗮𝗻𝗱𝗵𝗶, 𝗗𝗼𝗻 𝗧𝗮𝗽𝘀𝗰𝗼𝘁𝘁, 𝗩𝗮𝘀𝘂𝗱𝗵𝗮 𝗥𝗮𝘃𝗶𝗻𝗱𝗿𝗮𝗻𝗮𝘁𝗵, 𝗕𝗿𝗮𝗱𝗹𝗲𝘆 𝗖𝗹𝗼𝗻𝗮𝗻, 𝗦𝗼𝗿𝗮𝘆𝗮 𝗭𝗶𝗱𝗮𝗻𝗲, 𝗝𝗮𝘀𝗺𝗶𝗻 𝗦𝗶𝗺𝗮𝗱𝗲𝗿, 𝗝𝗼𝗵𝗻 𝗞𝗼𝗲𝘁𝘀𝗶𝗲𝗿, 𝗧𝗮𝗵𝗮 𝗛𝘂𝘀𝘀𝗮𝗶𝗻, 𝗕𝗮𝘀𝗮𝗻𝘁𝗵 𝗠𝗲𝗻𝗼𝗻, and 𝗟𝗼𝘂 𝗦𝗽𝗿𝗶𝗻𝗴𝗲𝗿 all starred, supported, and contributed, in thankful ways, and in no particular order. 

Also Alicia Teltz was my only incremental 🛎️🛎️ #Dataninja humanizing follow. 

She left LinkedIn because of LinkedIn, to build a business about LinkedIn. 📣
"What did she say?" Wow, I love that. 

I'll be interviewing her on my #DATAiMatters podcast, yet to come. 
(😱😱 Did I just spill the Tea??)

I may spill the Tea sometimes, but I never spill ☕️Coffee or ever, ever, my 🍺Beer. Seriously.
If you like what I say, you just 𝗯𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲 - see ☕️🔗 𝙡𝙞𝙣𝙠 in the comments BELOW! 🙏🥷

Follow me, more of me to come. You have been warned. 😂

#DATAiMatters #PeopleMatterMost #DataFIRST  

𝙁𝙤𝙪𝙣𝙙 𝙩𝙝𝙞𝙨 𝙪𝙨𝙚𝙛𝙪𝙡? give it a 👍 or 💙 
𝙀𝙭𝙘𝙞𝙩𝙚𝙙 𝙗𝙮 𝙩𝙝𝙞𝙨? ♻️ REPOST to your network
𝙉𝙤𝙩 𝙛𝙤𝙧 𝙮𝙤𝙪? 🫤 𝘚𝘖𝘙𝘙𝘠, but maybe 👍 for someone you know?

Don't follow 🥷Pedro, the O.G #DataNinja yet?
>𝟮𝟭𝙆+ 𝙤𝙩𝙝𝙚𝙧𝙨 𝙙𝙤. 𝙒𝙝𝙖𝙩 𝙖𝙧𝙚 𝙮𝙤𝙪 𝙬𝙖𝙞𝙩𝙞𝙣𝙜 𝙛𝙤𝙧? 𝙇𝙚𝙩'𝙨 𝙂𝙊!

This LinkedIn post is the kind no one writes. 
There are >> 10 things seen here, others hide.
20K+ follow 🥷 for 𝗿𝗲𝗮𝗹: value, stories, & learning 

This is a #currentsituation pic, ~4 min ago.

I could be writing 15 posts about the top 10 things in this photo that matter much. 

I am writing ZERO more posts today because I have some #dataninja work stuff to do. My choice.

If you are here today, Saturday, or any day, and just learning about 🥷Pedro Cardoso, P.Eng, CBIP the O.G actual Data Ninja, don't worry. I'm not famous or anything. 

I mean, I'm not famous (yet). Probably, not ever. I mean even if you are super famous, let's be honest, 1-2 generations from now, who will actually care? Maybe some. Maybe a lot. But I guarantee you, fewer will care about you after death than they do while you are alive. I didn't need to crunch rocket science numbers to figure that "no 💩 sherlock" insight out.

But fun fact, I can actually crunch rocket science numbers, and even harder numbers out, though I haven't had to do it anywhere near as often as I could, but I will be doing more of that going forward.

⚾️ Want to play a 🥷 spy-learning game? 
What do you spy with your 👀 - Just NAME it.
1️⃣ DROP THE WORD(s) in a COMMENT 👇
2️⃣ I 𝘸𝘪𝘭𝘭 respond to every (single) one. 
(one per comment, no limit on comments per peep)
 
If you find this "boring" and "dull", I am sorry. Just scroll to the next (>>> famous person) in your feed.

I already know what way too many of them purport to say.

Maybe this sounds familiar? Let me know, many patterns, but one common one goes something like this:

"𝘐'𝘮 𝘴𝘰 𝘨𝘳𝘦𝘢𝘵 𝘣𝘶𝘵 𝘐 𝘶𝘴𝘦𝘥 𝘵𝘰 𝘣𝘦 𝘴𝘰 𝘣𝘢𝘥, 𝘢𝘯𝘥 𝘐 𝘥𝘪𝘥 𝘢𝘭𝘭 𝘵𝘩𝘦𝘴𝘦 𝘵𝘩𝘪𝘯𝘨𝘴, 𝘢𝘯𝘥 𝘵𝘩𝘢𝘵'𝘴 𝘩𝘰𝘸 𝘐 𝘴𝘱𝘦𝘭𝘭 '𝘨𝘰𝘰𝘥 𝘵𝘰 𝘨𝘳𝘦𝘢𝘵' 𝘢𝘯𝘥 𝘴𝘰 𝘧𝘰𝘭𝘭𝘰𝘸 𝘮𝘦 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘐 𝘰𝘯𝘭𝘺 𝘸𝘢𝘯𝘵 𝘵𝘰 𝘩𝘦𝘭𝘱 𝘺𝘰𝘶 𝘢𝘱𝘱𝘳𝘦𝘤𝘪𝘢𝘵𝘦 𝘩𝘰𝘸 𝘮𝘶𝘤𝘩 𝘴𝘮𝘢𝘳𝘵𝘦𝘳 𝘢𝘯𝘥 𝘣𝘦𝘵𝘵𝘦𝘳 𝘢𝘯𝘥 𝘮𝘰𝘳𝘦 𝘴𝘶𝘤𝘤𝘦𝘴𝘴𝘧𝘶𝘭 𝘵𝘩𝘢𝘯 𝘺𝘰𝘶 𝘢𝘳𝘦...𝘢𝘯𝘥 𝘐 𝘸𝘪𝘭𝘭 𝘪𝘯𝘤𝘭𝘶𝘥𝘦 𝘮𝘢𝘯𝘺 𝘱𝘰𝘶𝘵𝘺 𝘢𝘯𝘥 𝘴𝘦𝘦𝘮𝘪𝘯𝘨𝘭𝘺 𝘷𝘶𝘭𝘯𝘦𝘳𝘢𝘣𝘭𝘦 𝘰𝘳 𝘤𝘰𝘮𝘮𝘶𝘯𝘪𝘵𝘺 𝘭𝘪𝘧𝘦 𝘱𝘪𝘤𝘵𝘶𝘳𝘦𝘴 𝘐 𝘤𝘢𝘯 𝘴𝘰 𝘺𝘰𝘶 𝘤𝘢𝘯 𝘦𝘯𝘨𝘢𝘨𝘦 𝘢𝘯𝘥 𝘧𝘶𝘦𝘭 𝘮𝘺 𝘦𝘨𝘰 𝘮𝘰𝘳𝘦 𝘢𝘯𝘥 𝘣𝘶𝘺 𝘮𝘰𝘳𝘦 𝘰𝘧 𝘮𝘺 𝘨𝘳𝘦𝘢𝘵 𝘱𝘥𝘧'𝘴 𝘢𝘯𝘥 𝘷𝘪𝘥𝘴 𝘵𝘩𝘢𝘵 𝘸𝘪𝘭𝘭 𝘏𝘐𝘛 𝘏𝘈𝘙𝘋 𝘢𝘯𝘥 𝘢𝘳𝘦 𝘴𝘰 𝘤𝘩𝘦𝘢𝘱, 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘵𝘩𝘦𝘺 𝘢𝘳𝘦 𝘭𝘪𝘵𝘦𝘳𝘢𝘭𝘭𝘺 𝘵𝘩𝘦 𝘰𝘯𝘭𝘺 𝘵𝘩𝘪𝘯𝘨 𝘮𝘪𝘴𝘴𝘪𝘯𝘨 𝘧𝘳𝘰𝘮 𝘺𝘰𝘶 𝘢𝘯𝘥 𝘺𝘰𝘶𝘳 𝘭𝘪𝘧𝘦 𝘣𝘦𝘪𝘯𝘨 𝘴𝘰 𝘨𝘳𝘦𝘢𝘵 𝘭𝘪𝘬𝘦 𝘮𝘦, 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘰𝘧 𝘤𝘰𝘶𝘳𝘴𝘦 𝘐 𝘬𝘯𝘰𝘸 𝘺𝘰𝘶 𝘴𝘰 𝘸𝘦𝘭𝘭" 

Too harsh? Too bad? Too bad. It's the no BS truth. 
Spend your time wisely. I'll do my best to do the same, for all of us, on both sides of this screen.

But know that I am "PERFECT" and proud of it. 
A PERFECT-ly imperfect human. That's me. That's you.
Do you LIKE that? LOVE that? Maybe LIKE and LOVE those posts MORE?? Just sayin'...

#DATAiMatters #PeopleMatterMost

Who Are We? 𝗛𝘂𝗺𝗮𝗻. 𝗔𝗹𝗹 𝗼𝗳 𝘂𝘀. 𝗥𝗲𝗴𝗮𝗿𝗱𝗹𝗲𝘀𝘀 𝗼𝗳 𝘄𝗵𝗲𝗿𝗲 𝗕𝗼𝗿𝗻.
Why are we here? 𝗧𝗼 𝗕𝘂𝗶𝗹𝗱, 𝗙𝗶𝘅, 𝗜𝗺𝗮𝗴𝗶𝗻𝗲, 𝗟𝗼𝘃𝗲 - 𝗧𝗼 𝗠𝗮𝘁𝘁𝗲𝗿.
What Matters Most? The answer, always, 𝗣𝗲𝗼𝗽𝗹𝗲.

I truly am, a Geek With Empathy, and a sucker for a Humanizing story. It's how I was shaped and built, and there's no tear down happening. Nate Bartgaze often says "Nobody Knows", but Jeremy Adamson knows. He wrote the Geeks With Empathy book, after all.

On this Sunday afternoon when your #DataNinja is still, sick as a pack of dogs, with so much needed to get built and done in the next 72 hours, and closing out a rough week 45 where my most valued customers felt the most visceral of expectations unmet, I was serendipitously inspired and reminded, respectively through LinkedIn and Google Syniti memories, that #PeopleMatterMost. 

𝟭. Thanks to Steph Loke for the amazing, first! While there is a lot wrong and that should be better about this LinkedIn platform, it remains the undisputed most "humanizing" social platform for people driven with the ambition to Matter, and Succeed. Zach Wilson, who continues to surprise me with his 𝗕𝗶𝗴 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗘𝗻𝗲𝗿𝗴𝘆, figured this out long ago.

FWIW, on my sickly Friday night, while Susan Walsh was living her best party life (which makes me happy), and I was lying in bed, pretty miserable, I listened to the entirety of the 1:11:36 LinkedIn live recording of 𝗛𝗼𝘄 𝘁𝗼 𝗴𝗼 𝘃𝗶𝗿𝗮𝗹 𝘄𝗵𝗶𝗹𝗲 𝗻𝗼𝘁 𝘀𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗹𝗶𝗸𝗲 𝗮𝗻 𝗡𝗣𝗖. Choosing between the next Stanford AI lecture and Zach & Friends was a "no brainer". Appropriate because my brain was truly AWOL, but my human heart was feasting. 

𝟮. Google Memories reminded me of this 3 year anniversary event, in Chicago, as a modern Data Team of the ages working on delivering Lactalis Group SAP S/4HANA success, enjoyed a REAL feast—of both Indian cuisine, and low-key data hero meet up.  What do I remember about this night? Counter-Clockwise, back left to right:

Victor Alcaide was doing the Dos Equis dude impression, believing he really was the most interesting man in the world, while probably not even at this table.

Vasu Parikh always smiling because he's so fun, adamant that he would not drink, not to be swayed by the constant "noise" to his left about how great the 𝗢𝗹𝗱 𝗙𝗮𝘀𝗵𝗶𝗼𝗻𝗲𝗱 was.

🥷Pedro Cardoso, surprisingly without an 𝗢𝗹𝗱 𝗙𝗮𝘀𝗵𝗶𝗼𝗻𝗲𝗱, and I can't remember what we all had in our cups, but it couldn't be great because they look untouched. Who remembers?

Sidney Sainsbury, always with the great hair, dammit. Even better than mine.

Uma Boga, so glad he was in a city he didn't live in, because I know we collectively always embarrassed him, and the idea of being seen in public with us was I am sure a jump scare. I told him I wouldn't post this pic on LinkedIn - and I didn't, until now! 🤣

#DATAiMatters #PeopleMatterMost #DataFIRST  

Come, follow me, 🥷Pedro & Friends🙏

A͟I͟ ͟w͟i͟l͟l͟ ͟n͟e͟v͟e͟r͟ ͟b͟e͟ ͟𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁, so let's stop pretending.
Please Save and Share this post everywhere!
Make truth stick 🩹 >> lies 🤥. Follow my lead 👇

It's time to stop playing someone else's game, and change the game to play the game that suits us and allows you (the human) to keep winning.

👨🏻‍🏫 𝗟𝗲𝘁'𝘀 𝗿𝗲𝗺𝗲𝗺𝗯𝗲𝗿 𝘄𝗵𝗮𝘁 "𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲" 𝗺𝗲𝗮𝗻𝘀:
𝚑𝚊𝚟𝚒𝚗𝚐 𝚝𝚑𝚎 𝚌𝚊𝚙𝚊𝚌𝚒𝚝𝚢 𝚏𝚘𝚛 𝚕𝚎𝚊𝚛𝚗𝚒𝚗𝚐, 𝚛𝚎𝚊𝚜𝚘𝚗𝚒𝚗𝚐, 𝚊𝚗𝚍 𝚞𝚗𝚍𝚎𝚛𝚜𝚝𝚊𝚗𝚍𝚒𝚗𝚐 𝚗𝚎𝚠 𝚘𝚛 𝚍𝚒𝚏𝚏𝚒𝚌𝚞𝚕𝚝 𝚜𝚒𝚝𝚞𝚊𝚝𝚒𝚘𝚗𝚜

🙋‍♀️𝗡𝗼𝘄 𝗷𝘂𝘀𝘁 𝗮𝘀𝗸 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳:
𝘋𝘰𝘦𝘴 𝘵𝘩𝘪𝘴 𝘴𝘰𝘶𝘯𝘥 𝘭𝘪𝘬𝘦 𝘢𝘯 𝘓𝘓𝘔 𝘊𝘩𝘢𝘵𝘉𝘰𝘵 𝘰𝘳 𝘢 𝘏𝘶𝘮𝘢𝘯?

I recently started workshopping this so simple, common-sense approach to help my colleagues, friends, family, and those I meet in my community have healthier relationships with AI.  

You see whether any one in your audience chooses to swipe left or right on #AI, baselining this foundational understanding should not enrage or enflame anyone. 

AI isn’t “Artificial Intelligence.” It’s 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝗰𝗼𝗵𝗲𝗿𝗲𝗻𝗰𝗲. Or better yet, 𝗔𝗰𝘁𝘂𝗮𝗹 𝗜𝗴𝗻𝗼𝗿𝗮𝗻𝗰𝗲—or whatever you call it, it doesn't matter. It's just, not, Intelligent.

The tech bros keep dressing it up like it's the next superior species in evolution but that's 100% bull 💩. I'm tired of running into offensive ads from Replika offering a male gaze "fantasy" of a 24/7 sycophantic girlfriend to serve their every whim and bidding. It sickens me that we are suggesting this is what the "perfect mate" is meant to be.

The truth is, AI is an awesome tool, and perhaps mankind's most powerful tool ever created. But the indisputable truth is that it is still a 𝘵𝘰𝘰𝘭. It's a tool that can be wielded to do great good but also do terrible damage.  

The societal and environment damage is being shrugged of as a "cost of doing business", but what business exactly? Who is doing the math on this? Why is every (ahem male) tech billionaire seemingly pursuing the same end goal, completely independently and wastefully? Where is the governance? (that's clearly a rhetorical question).

𝗔𝗻 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 (𝗿𝗲𝗺𝗶𝗻𝗱𝗲𝗿) 𝗹𝗲𝘀𝘀𝗼𝗻:  
🥷Humans invented tools.
🥷Then we invented tools that could invent other tools.
🥷That’s the real intelligence flex.
🥷Meta before “Meta” even existed. Even before the GOAT SCOTT!

So let’s stop being tools ourselves, and remind others to not try to transform themselves into a TOOL. 

A fool with a tool was always, and will always be, still a fool. Intelligence only deserves a mention in the #HI acronym and belly buttons. So next time you need the answer to a question like "Is this mushroom edible", ask someone with actual intelligence and domain expertise worth trusting.

Happy Sunday. Please REPOST, SHARE, and FOLLOW 🥷Pedro.

#AI #PeopleMatterMost #HumanIntelligence #HumansUnite

Stop letting LinkedIn’s feed decide what you should see.

I built a system to make it serve 𝗺𝗲 instead. 👀👇 

Here are my 3 Insight Shurikens 💫, 100% guaranteed,
To hit your Business Outcome target, every single time! 🎯 

🥷 1️⃣ 𝗔𝗹𝗹 𝗙𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗠𝗮𝘁𝘁𝗲𝗿, 𝗦𝗼𝗺𝗲 #MatterMore 
A day doesn't go by that I don't remind, demonstrate, and actively coach that Data is not all the same, and no one cares if you use leading or trailing commas in your SQL field lists. Start with the end in mind and lead with Business Outcomes, and on LinkedIn hand pick and curate those voices that matter most to YOU.

🥷 2️⃣ 𝗗𝗼𝘂𝗯𝗹𝗲-𝗕𝗲𝗹𝗹 𝗧𝗵𝗲𝗶𝗿 𝗣𝗿𝗼𝗳𝗶𝗹𝗲 𝗕𝗲𝗹𝗹
At no time do I ever have more than 100 Double-Bell follows, as that's my ceiling and cap. Yours might be different, and that's ok. I keep an Excel spreadsheet to track these who excel-the-most at serving me up the insights and conversations that my always be learning brain craves.

🥷 3️⃣ 𝗡𝗼𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗗𝗿𝗼𝗽𝗗𝗼𝘄𝗻 𝗜𝘀 𝗠𝘆 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗲𝗲𝗱
Don't be fooled in thinking that LinkedIn's feed is curated to serve YOU best. It's not. Know that even whe you 🛎️🛎️ double bell your rockstar follows, LI may surface 60% of their posts if you're lucky, likely even less. Use your Notification Drop Down instead and you'll enjoy 100% of the "kid in a candy store" knowledge moments.  

My just cause is to help make you the most prolific, sought after, and trusted without reproach data leader that you want to be.

Listed here, 20 of my long-time double 🔔🔔 follows!
𝗘𝘅𝗽𝗲𝗰𝘁 𝗺𝗼𝗿𝗲, because you can always do better.
𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝗺𝗼𝗿𝗲, because your customers deserve your best. 

I am 🥷Pedro Cardoso - The Data Ninja, P.Eng, CBIP, 
Know that 🏃🏻 following me is never an 𝗲𝘁 𝘁𝘂 𝗣𝗲𝗱𝗿𝗼 moment.
I will a͟l͟w͟a͟y͟s͟ ͟h͟a͟v͟e͟ ͟y͟o͟u͟r͟ ͟#data ͟b͟a͟c͟k͟. 🚀🇨🇦🇺🇸

Cassie Kozyrkov 
Sol Rashidi, MBA 
Vin Vashishta 
Kate Strachnyi 
Christina Stathopoulos, MSc 
Tom Redman 
Joe Reis 
Dr. Joe Perez 
Tiankai Feng 
Weiwei Feng  (no relation to Tiankai 😂)
Bill Schmarzo 
Zach Wilson 
Phil Fersht 
Jordan Morrow 
SCOTT Olúwafẹ́mi TAYLOR 
Scott Hanselman 
Andrew Jones 
Benjamin Rogojan 
Allie K. Miller 
Gary Marcus

My literal face. Every time my AI has a #TIL Moment.

Let's all share our last sychophant HI+AI moment.

Leave your best SMH moments in the COMMENTS below.  

We can make an example PROMPT of them and feed them back into all the LLM machines.

Let's go.

I had a human conversation this week and it was soo 🔥!
I had lots of them, TBH. But this one stood da Heck Out!
I'll share what 15yr ago me knew and still knows. 🫵

The conversation started like most customer leadership calls do. The usual suspects of strategy, tech decisions, business outcome imperatives, known for long but still unsolved data problems playing starring roles. 

Then came the classic “fix this by yesterday” flare and the moment leaders lead and commit to dealing with data debt demons and need a 𝗗𝗮𝘁𝗮 𝗙𝗶𝗿𝘀𝘁 approach to begin, well before the project even starts. 

But that was just the conversation starter. The discussion turned to humanizing topics of 𝗵𝗼𝗻𝗲𝘀𝘁𝘆, 𝗶𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆, 𝗿𝗲𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻, 𝘁𝗿𝘂𝘀𝘁, 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗶𝘁𝗺𝗲𝗻𝘁 — the stuff that actually dictates and decides who wins.

And it reminded me of something 15-years-ago me already knew walking through that Boston airport, heading to my BackOffice Associates recruitment weekend. 

A career marking event that I had serendipitously stumbled upon, set in motion on an earlier Friday night, with a glass of (Portuguese equivalent Cab) in hand, while thumbing through Monster.com with the other. 

🥷 Your word is your real résumé.
🥷 Your character is your competitive edge.
🥷 Trust is your most valuable currency. 
🥷 Reputation is the compound interest that never stops paying.

If you want to lead, really lead, then just LEAD. 
Start and End, there. Everything else is just execution.

And yeah, People Matter Most is my most followed and repeated hash tag line. But while the normal usage of hash tags is to artificially extend a post's reach, my intentional use of the hashy tag is humanizing and human real.

For those who choose to focus and complain about what LinkedIn or anything anywhere, doesn't do well and what others do to make it suck more, I challenge you to think differently. 

I guarantee you that if you focus your attention on GIVING value, ENABLING outcomes, SHOWING value, and RAISING yourself and others around you, that:

1. Great things WILL happen.
2. These things can be done ANYWHERE, even on the most enshittified of platforms.  
3. Your best will always be seen, and also, be yet to come

#DATAiMatters #PeopleMatterMost 

#DataFIRST 
Because...
"𝚆𝚎 𝚜𝚝𝚊𝚛𝚝𝚎𝚍 𝚠𝚘𝚛𝚔𝚒𝚗𝚐 𝚘𝚗 𝙳𝚊𝚝𝚊 𝚝𝚘𝚘 𝚎𝚊𝚛𝚕𝚢."  
...is a phrase said by the one and only. 𝗡𝗼 𝗢𝗻𝗲 𝗘𝘃𝗲𝗿. 

𝙁𝙤𝙪𝙣𝙙 𝙩𝙝𝙞𝙨 𝙪𝙨𝙚𝙛𝙪𝙡? give it a 👍 or 💙 
𝙀𝙭𝙘𝙞𝙩𝙚𝙙 𝙗𝙮 𝙩𝙝𝙞𝙨? ♻️ REPOST to your network
𝙉𝙤𝙩 𝙛𝙤𝙧 𝙮𝙤𝙪? 🫤 𝘚𝘖𝘙𝘙𝘠, but maybe 👍 for someone you know?

Don't follow 🥷Pedro, the O.G #DataNinja yet?
>𝟮𝟭𝙆 𝙤𝙩𝙝𝙚𝙧𝙨 𝙙𝙤. 𝙒𝙝𝙖𝙩 𝙖𝙧𝙚 𝙮𝙤𝙪 𝙬𝙖𝙞𝙩𝙞𝙣𝙜 𝙛𝙤𝙧? 𝙇𝙚𝙩'𝙨 𝙂𝙊! 

You can find me M-F Syniti, a part of Capgemini 
𝙬𝙝𝙚𝙧𝙚 #DataNinja's play to win! (Me, 15+ years strong)
• Psst...we're also #HIRING

It’s really not that deep — it’s just me, in Toronto.
But I’m genuinely fired up. I mean look at me!
Hello again, DAMA. Been a minute or two.
 
I’ll be around, hiding in plain sight, ears open, soaking it all in.
 
The Data Ninja is officially back in the wild.
I missed everybody, and can't wait to say Hello!

DM me. Let's get this years #DAMADays on 🔥! 
(the good kind)

Let's GO! 🚀🥷

#DATAiMatters #DAMAMatters #PeopleMatterMost

Sometimes a picture really is worth 1K words.
You heard it here first in 2K24. 𝘼 𝙁𝙤𝙤𝙡 𝙬𝙞𝙩𝙝 𝙖𝙣 𝘼𝙄-𝙏𝙤𝙤𝙡 𝙞𝙨 𝙨𝙩𝙞𝙡𝙡 𝙖 𝙁𝙤𝙤𝙡, 𝙟𝙪𝙨𝙩 𝙛𝙖𝙨𝙩𝙚𝙧 𝙖𝙣𝙙 𝙚𝙖𝙨𝙞𝙚𝙧 𝙩𝙤 𝙨𝙥𝙤𝙩, 𝙘𝙖𝙣'𝙩 𝙝𝙞𝙙𝙚.

Dogs and their long-time owners often start looking alike.
See AI dude's hand, refusal of brain. 

Go-Go-AI-InspectorGadget-{INSERT PREV HUMAN PART}
I rest my #dataninja case.

I said it all before, check out my prior posts.
I'm here for the COMMENTS - more than the impressions and likes.

🙋‍♀️ Do you agree? What do you see different?
💁🏽‍♂️ Am I saying enough? How can I do better?

Follow me, newsletter to come, more of me on the way.  🕺🇨🇦📑
#DATAi Matters #PeopleMatterMost #DataFIRST  

𝙁𝙤𝙪𝙣𝙙 𝙩𝙝𝙞𝙨 𝙪𝙨𝙚𝙛𝙪𝙡? give it a 👍 or 💙 
𝙀𝙭𝙘𝙞𝙩𝙚𝙙 𝙗𝙮 𝙩𝙝𝙞𝙨? ♻️ REPOST to your network
𝙉𝙤𝙩 𝙛𝙤𝙧 𝙮𝙤𝙪? 🫤 𝘚𝘖𝘙𝘙𝘠, but maybe 👍 for someone you know?

Don't follow 🥷Pedro Cardoso, the O.G #DataNin ja yet?
🚀𝟮𝟭𝙆+ 𝙤𝙩𝙝𝙚𝙧𝙨 𝙙𝙤! 𝙒𝙝𝙖𝙩 𝙖𝙧𝙚 𝙮𝙤𝙪 𝙬𝙖𝙞𝙩𝙞𝙣𝙜 𝙛𝙤𝙧? 𝙇𝙚𝙩'𝙨 𝙂𝙊!

It's no coincidence we are seeing AI and Data being added to non-IT Marketing & Consulting roles. If Data & ITHeroes are MIA, Other Super Heroes emerge.

My #IT, #Techie, and #DataNinja nation friends — while so many are so worried that #AI is coming to take your jobs, your biggest worry should be who is coming for the #Data and #IT privileged technology jobs you already have, but have been doing kinda poorly.

It's not a reflection of your intelligence, passion, efficiency, or lack of critical thinking.

It's 100% an issue of, for so very, very, long, asking the wrong questions, not answering the right questions, and gaslighting our customers to believe they are the ones that need changing.  
Funny thing is, you may just be getting what you all wished for, but may also learn and live to regret it. They are changing into better versions of themselves, and the better versions of you that everyone is tired waiting for.

For some of you, that new bus is finally starting to leave the station. For too many of you, once you get to your assigned "stops", you might find that folks have given up waiting and just decided to walk the "journey route" on their own.

More on this to come, as I am still coming to you live from DAMA Toronto at Deloitte HQ, sponsors of this 2025 year end event. I very much look forward to opinions and perspectives from great leaders in our community, who have been shouting the same from the rooftops for (far) too long.

Malcolm Hawker Joe Reis Tom Redman Dora Boussias 

Follow me, newsletter to come, more of me on the way. You have been warned. 😂

#DATAiMatters #PeopleMatterMost #DataFIRST  

𝙁𝙤𝙪𝙣𝙙 𝙩𝙝𝙞𝙨 𝙪𝙨𝙚𝙛𝙪𝙡? give it a 👍 or 💙 
𝙀𝙭𝙘𝙞𝙩𝙚𝙙 𝙗𝙮 𝙩𝙝𝙞𝙨? ♻️ REPOST to your network
𝙉𝙤𝙩 𝙛𝙤𝙧 𝙮𝙤𝙪? 🫤 𝘚𝘖𝘙𝘙𝘠, but maybe 👍 for someone you know?

Don't follow 🥷Pedro Cardoso, the O.G #DataNinja yet?
>𝟮𝟭𝙆+ 𝙤𝙩𝙝𝙚𝙧𝙨 𝙙𝙤. 𝙒𝙝𝙖𝙩 𝙖𝙧𝙚 𝙮𝙤𝙪 𝙬𝙖𝙞𝙩𝙞𝙣𝙜 𝙛𝙤𝙧? 𝙇𝙚𝙩'𝙨 𝙂𝙊!

Q4 has arrived, so it's time for the 🥷MVP reading list.
Each of these was chosen with Humanizing Intent.
Human Intelligence+Community = 🥷Q4 themes.

I'm not going ask you to influence the reading sequence of these.  My recently diagnosed neurodivergent brain can't possible pick just one, so it would be a senseless ask. I don't make senseless asks. Few things irk me more than "check a box" exercises, masquerading as something valuable. 𝙄𝙨 𝙩𝙝𝙖𝙩 𝙖 𝙥𝙚𝙩 𝙥𝙚𝙚𝙫𝙚 𝙛𝙤𝙧 𝙮𝙤𝙪 𝙩𝙤𝙤? 𝙈𝙖𝙮𝙗𝙚?

What you can help me with is which should be (officially and properly) reviewed FIRST? So in bottom up, but also no particular order:

1. 𝗧𝗵𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗧𝗿𝗮𝗽, recommended by David Robson himself, a 🥷 follow. I've had it in my backlog for a while. Seems like the right (2025) time to absorb.

2. 𝗛𝗼𝘄 𝗧𝗼 𝗪𝗶𝗻 𝗔𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗪𝗮𝗿, by @Peter Pomerantsev, a senior fellow at John Hopkins, recommended by a Community loving, and close friend of a 🥷 follow. I won't mention their name without permission, but I love History, and very much believe we are (all) in an Information War of never seen before proportions. Also, a timely EOY read, as we go into 2026, for all sides of the Community Aisles.

3. 𝗗𝗮𝘁𝗮 𝗜𝗻 𝗔 𝗗𝗮𝗻𝗴𝗲𝗿𝗼𝘂𝘀 𝗧𝗶𝗺𝗲, by the MAD GOAT we all know and respect, Merrill Albert. I've "pecked-read" a lot of it, but need to behave and read it left->right like an adult, and not an impatient child. This was a must be written, and must be read piece for all reasons aforementioned.

4. 𝗔𝗯𝘂𝗻𝗱𝗮𝗻𝗰𝗲, by Erza Klein, Derek Thompson, I feel like 20+ people have talked about this, enough that I finally picked it up at a small curated book store in Toronto, Little Italy proper. 𝙃𝙖𝙨 𝙖𝙣𝙮𝙤𝙣𝙚 𝙧𝙚𝙖𝙙 𝙞𝙩? 𝘿𝙞𝙙 𝙮𝙤𝙪 𝙇𝙤𝙫𝙚 𝙄𝙩? 𝙃𝙖𝙩𝙚 𝙄𝙩? 𝙆𝙚𝙮 𝙏𝙖𝙠𝙚𝙖𝙬𝙖𝙮𝙨?

5. 𝗛𝘂𝗺𝗮𝗻𝗶𝘇𝗶𝗻𝗴 𝗔𝗜 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆, by the Humanizing Musical GOAT of all time, Tiankai Feng (who I can no longer prompt without getting some "Thanks In Advance..." result? WTH?) I've been waiting for this "for a while", and it comes with a personal endorsement from moi inside, so no need to say more, except if you don't already own it, go get yourself one.

6. 𝗥𝗲𝘃𝗲𝗻𝗴𝗲 𝗢𝗳 𝗧𝗵𝗲 𝗧𝗶𝗽𝗽𝗶𝗻𝗴 𝗣𝗼𝗶𝗻𝘁, by the over-hyped Malcolm Gladwell, as I loved his books until I suddenly liked them less, but heard some not bad things about this one, so am giving him another chance. 𝙄𝙛 𝙄'𝙫𝙚 𝙗𝙚𝙚𝙣 𝙛𝟬𝟬𝙡𝙚𝙙 𝙖𝙜𝙖𝙞𝙣, 𝙡𝙚𝙩 𝙢𝙚 𝙠𝙣𝙤𝙬. 𝙄𝙩'𝙨 𝙜𝙤𝙞𝙣𝙜 𝙩𝙤 𝙗𝙚 𝙩𝙤𝙤 𝙡𝙤𝙣𝙜 𝙛𝙤𝙧 𝙬𝙝𝙖𝙩 𝙞𝙩 𝙞𝙨, 𝙩𝙝𝙖𝙩 𝙄 𝙖𝙡𝙧𝙚𝙖𝙙𝙮 𝙠𝙣𝙤𝙬.
   
7. 𝗧𝗵𝗲 𝗖𝗮𝘀𝗵𝗳𝗹𝗼𝘄 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲, by a talented colleague of mine, Frank Gundlich where a story-based approach about embedding data thinking into leadership behaviour, to stop the distraction of shiny things. I mean, it's a work of complete "science fiction" - I don't think anyone of us can relate to this?

Pls 🗳️ in COMMENTS below! 🥷🙏

Who can help advise me on the happiest path to standing up an idyllic SubStack + LinkedIn newsletter union?

I rather take instruction from one with expert experience than #dataninja this on my own. 

Whoever helps me, I guarantee will get at least 2x more from me in valued return, no matter how long it takes to be realized.

I stand proudly in the shadow, and behind, great leaders and humans like Joe Reis who talk and run the walk of Give, Give, Give.

The eventual and best “take”, I believe and know from experience, are those given.

As a first generational immigrant, it’s also how my dear parents brought me up to be. The credit is all theirs, this pledge, all mine. 🙏🥷

Blessed to have both of them still with me, Oct 27 pic where we celebrated his 87th. We reset the identity column to seed back at 1. 🤣

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Who's tiring of all the "Is this real?" pics from the fam?
I gotta say, it's getting hard to spot the AI slop out there.
That smile is distracting - but check the red ⭕️...

Those unnatural light reflects and too perfect sheen...so easy to pick these fakes out if you just pay attention to the details.


One of my latest double bell valued follows Michele Kamenar was sharing this gem of a photo, and I thought #DataNinja nation would appreciate the brain muscle workout. I mean the NYT crossword and Wordle sets are lit, but picking this AI slop apart is getting to be like rocket science.

I also gotta say, her feet are georgeous. She must do crazy Yoga to be able to pull this feat off. I can't even see where she's got her hands - this one's fire, I bet she's on the Insta. And that Latte is magical. 

Mad skills this one....just MAD. Michele's 🔥 fire too. Or does she work for Appfire - I remember 🔥, so check out her profile. She's not my typical techie industry follow but she maee me laugh, and has MAD content skills and is a brand #StoryTeller, so she's now part of the #Dataninja family. She has no idea what she's signed up for...without signing up for anything at all.

We'll figure it out. Everything Happens For A Reason....remember?

#Satire (the AI "perfect" picture part - not the Michele part - that part is sincere) 🥷🙌 

#DATAiMatters #PeopleMatterMost  
Follow 🥷Pedro, the Data Ninja today! 
Operators are standing by. Click now, time is running out!
(it's not really...I mean, well it is Week 49...so 2025 time IS actually....running out)

Didn't you get the memo? "YEARS" is no longer universally defined as a planetary trip around the sun. In ads like this: YEARS = 👇.👇.👇.👇.👇

🥷 Y.E.A.R.S. = 𝗬ou 𝗘xpect 𝗮 𝗥idiculous 𝗦tandard

You heard it here first. 
You've thought it 1000x over. Am I wrong?

Follow me, newsletter to come, more of me on the way. You have been warned. 😂

#DATAiMatters #PeopleMatterMost #DataFIRST  

𝙁𝙤𝙪𝙣𝙙 𝙩𝙝𝙞𝙨 𝙪𝙨𝙚𝙛𝙪𝙡? give it a 👍 or 💙 
𝙀𝙭𝙘𝙞𝙩𝙚𝙙 𝙗𝙮 𝙩𝙝𝙞𝙨? ♻️ REPOST to your network
𝙉𝙤𝙩 𝙛𝙤𝙧 𝙮𝙤𝙪? 🫤 𝘚𝘖𝘙𝘙𝘠, but maybe 👍 for someone you know?

Don't follow 🥷Pedro Cardoso, the O.G #DataNinja yet?
>𝟮𝟬𝙆+ 𝙤𝙩𝙝𝙚𝙧𝙨 𝙙𝙤. 𝙒𝙝𝙖𝙩 𝙖𝙧𝙚 𝙮𝙤𝙪 𝙬𝙖𝙞𝙩𝙞𝙣𝙜 𝙛𝙤𝙧? 𝙇𝙚𝙩'𝙨 𝙂𝙊 LEARN!

It's time to just stop and accept what we all know is true.
Wine may get better with age, but your bad data won't.
So stop whining, and just do Data First. Just DO.

If you want to wine, just wine responsibly. 
No judging on this, except Red beats White.
Also a fact, take the Red Pill, never the Blue.

And also, Confirmation Bias?
Don't fall for it.

#DataIMatters #PeopleMatterMost

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🥷PEDRO CARDOSO - The Data Ninja

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The Battle

Gilbert Eijkelenboom

🥷PEDRO CARDOSO - The Data Ninja

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Gilbert Eijkelenboom's LinkedIn Performance

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