Data Whisperer ♦ Analytics Specialist & Tech Enthusiast ♦ Join My #bookaweekchallenge

⭐ I have reached the maximum connection limit of 30,000 here on LinkedIn. Please follow me instead.
📚 Follow & join my #bookaweekchallenge or #bookamonthchallenge
📍 Current resident of Madrid, Spain & native of Charlotte, North Carolina, USA

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Greek-American based in Spain where I run a global data/AI business. International keynote speaker, award-winning educator and the Founder of Dare to Data, on a mission to help individuals and corporations take the next step in their data and AI journey. After building a successful career in Big Tech companies such as Google and Waze, I shifted my focus to scaling impact through education, training and product evangelism. Today, I'm trusted by an extensive client list of Fortune 500 and Big Tech organizations. Outside of my corporate work, I hold an Adjunct Faculty position at several universities where I lecture and lead programs on data and AI for business. I also serve as an instructor for LinkedIn Learning and host a podcast for EM360. I am bilingual (English-Spanish) and offer collaborations in both languages.

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I am a regular international speaker supporting all things data and AI, as well as women in STEM. Some of my latest involvements include:
● Guest appearances on more than 30 podcasts such as SuperDataScience, DataFramed, Alter Everything, Ken's Nearest Neighbors, How to Get An Analytics Job, Driven by Data, Humans of Data Science, Present Beyond Measure, LightsOnData & more.
● Interview features, guest lecturer, panelist and event host!
● Keynote speeches delivered regularly since 2018 across 20+ countries in-person, virtually spanning the globe, with audiences surpassing 3,000+. A few of my latest involvements include:
→ → Fund Summit 2025 in Luxembourg LU, "Regulating the Machine: How AI is Forcing a Global Rethink on Ethics & Control"
→ → National Analytics Summit 2025 in Dublin IE, "When Data Meets Design"
→ → CNG Global Pulp Conference 2025 in Istanbul TR, "Igniting Transformation with AI"
→ → QSP Summit 2024 in Porto PT, "Navigating Tomorrow in a Data-Driven, AI-First World"
→ → Nitto ATP Finals Customer Summit 2024 in Turin IT, "Unleashing AI's Power in Modern Manufacturing"
→ → Data Universe 2024 in NYC US, "When Data Meets Design"

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For further opportunities (podcasts, events, etc.) in my interested fields, feel free to contact me directly.

The opinions stated here are my own, not those of my employers/partners/clients.

Christina Stathopoulos, MSc

Your professional headshot is often your first impression.

On platforms like LinkedIn, it quietly answers a lot of questions for you: Are you credible? Approachable? Mine attached here is showing a subtle hint into my love for books!

There is no excuse for you to still be using that at-home selfie in bad lighting or your cropped family photo 🙄

Lately I have been experimenting with InstaHeadshots to generate AI-powered headshots. And the results are impressive! But there is a big caveat that often gets missed with these tools.

AI is only as good as the data you train it on.

If you want high quality outputs, you need high quality inputs.

When I trained my model, I used a mix of strong professional headshots and everyday photos and selfies. Different lighting, expressions, outfits and contexts.

That made all the difference in how realistic and usable my final images were.

⭐ I want to clarify that I don't think AI-generated images will replace the need for photographers. Not even close. ⭐

I fully plan to keep getting professional headshots done every two to three years. A great photographer brings expertise and quality that AI cannot do on its own.

What AI tools like this do change is SCALE.

AI now gives me access to literally HUNDREDS of additional, on brand images that I can use across platforms, talks, media and more. A quantity that would be unthinkable with a traditional photoshoot, both in terms of time and cost.

If you want to experiment with it yourself, you can try it here: https://lnkd.in/e7CnHNVU
Use code CHRISTINA15 for 15% off!

(I personally love this platform because you get a preview of your images first, and only pay once you're happy with the results.)

#artificialintelligence #generativeAI #headshots #futureofwork


💙 I partnered with InstaHeadshots because I genuinely love the product, can't wait to start using my new set of headshots and wanted to spread the word so others can try too!

🔷 TL;DR Remember that better data leads to better results. Invest in good photography. Use AI to extend it.

Data & AI Evangelist | Global Keynote Speaker & Award-Winning Educator | Making data & AI work for everyone, through a responsible lens! | Join my #bookaweekchallenge 📚

Movement-starter, TEDx speaker and award-winning author, I am an internationally recognized as a pioneer in data literacy and one of dataIQ™’s 100 Most Influential People in Data.  I am the owner of Bodhi Data and currently serves as the Senior Vice President of Data and AI Transformation at AgileOne as well as a speaker for The English Square. I have also served as the Chair of the Advisory Board for The Data Literacy Project and speaks at leading companies, events and universities among which are the United Nations, Fidelity Investments, Vanguard, Nike, Big Data London, Coca-Cola, the PBS annual meeting, Bacardi, and Columbia University.

I help audiences identify important signals in their data through visualizing and storytelling, stipulating that wisdom, above strategy and goals, is required to become truly data literate. I have authored five books on data and AI, and was awarded first place in the International Book Awards in 2023. My mission is to empower individuals and organizations to be more data literate and data-driven. By the end of my speeches, you will feel more confident to succeed with the necessary data and AI skills.

Contact www.theenglishsquare.com for speaker bookings.

Jordan Morrow

Lean into your struggles and failure, but don't give up.

In your career, have you been pulled aside or had a meeting where you received hard feedback?  What did you do with it?  

I have had it.  Early in my career, maybe less than 2 months after finishing my undergraduate degree, I was pulled aside and essentially told shape up or I would need to be moved.

What did I do?  Did I quit, sulk, what?  Now, in those moments, you can feel sad and worried, don't chase those emotions away, but what you do next matters.

I went on to be a President's Award winner at this company.  I moved to my next company, won an award again and pioneered data literacy.

Now, a personal example from my days of ultra marathon running illustrates that even in struggles, don't stop.  I was racing the Speedgoat 50k in Utah, one of the toughest 50ks in the world and one of my favorite races, but this time it hit different. 

The race has over 11,000 feet of vertical gain in it and you hit high elevation multiple times in the race.  But, there I was, struggling and, quite possibly, never wanting to quit a race more than I did there.  I was even talking to my wife through text and/or calling.  She and my kids were going to be on one of the peaks spectators could be on.  I didn't quit but maybe hoped to miss a cutoff so I could be done.

But, I didn't.  I kept going.  Then, when I was at the last big summit and made cutoff, things changed on the descent.  If I remember right, I even encouraged someone else as we went down.  

In the end, I didn't quit, I finished.  My watch, if I remember right, estimated a sweat loss of over 21 lbs in that race (don't worry, I was hydrating and drinking during the race).

Now, had I quit, what would my mentality have been, one where I was happy or would I live with regret?  In our careers, we have races where the climbs, the heat, the hydration, and other aspects of the career may make us want to quit... and at times, quitting a company might be the right choice, just like a race if you get injured.  

Now, what did I learn from that race?  My hydration strategy maybe wasn't what it should have been.  What lessons are you learning in your career struggles and what can you do with them?  Don't run from them, run with them.  Take the hard feedback, make a plan, and attack it.  Don't be a victim be one who shapes and owns their career.

Stay nerdy, my friends.

(The pic with me and the goat was before the race, I was happier at that time)

#data #AI #dataliteracy #AILiteracy

Amplification and augmentation...is that how you are viewing AI?  If not, you should be. 

AI is a human initiative powered by powerful tech.

In the era of the democratized intelligence the divide isn't between those who can code and those who can’t. It’s between those who use AI to AMPLIFY and AUGMENT their value, and those who are waiting for the "perfect time" to start.

- Amplification vs. Augmentation: Know the Difference

To take your seat at the table, you must understand how you’re using the tools:

Amplification (Doing more of what you do): This is about scale. It’s the HR Manager using Agentic AI to screen 1,000 resumes in seconds while maintaining a "culture-fit" sentiment analysis. It’s taking your existing expertise and giving it a megaphone.

Augmentation (Doing what you couldn’t do before): This is about capability. It’s the person using "vibe coding" to build a custom data dashboard without ever touching Python and iterating to get it right. It’s the logistics lead using multimodal AI to "see" supply chain disruptions before they appear on a spreadsheet.

- For Organizations: Stop Scaling Tools, Start Scaling Skills

Strategy isn't just buying a thousand Copilot licenses. If you want to thrive, your "AI Program" needs to look at the Work OS, not just the software:

Redesign the Workflow, Not Just the Task: Don't just "add AI" to a broken process. Evaluate where human judgment is the bottleneck and where it is the value-add.

Move from "Training" to "Fluency": Data and AI literacy are no longer a workshop; have it be a part of onboarding. Every employee—from Finance to Front Desk—must know how to turn intent into outcome using AI.

Appoint "AI Champions": You need influencers who bridge the gap between the C-Suite's vision and the operational reality of the "99%."

- For Individuals: How to Take Your Seat

Don't wait for a formal training program. The "coding wall" has crumbled.
Be a Domain Expert First: AI is a multiplier. If your expertise is 0, the result is still 0. But, guess what: your expertise isn't 0.  You have expertise.  Amplify and augment it.  Deepen your industry knowledge; let AI multiply.

Master the "Orchestration": In the old world, talent meant "Can you do the work?" In the new world, talent can mean "Can you orchestrate the work?" (Engineered Intelligence = Data + AI + IQ + EQ).

Show, Don't Tell: In 2026, a "Founder" mindset is more valuable than a resume. Build something. Solve a small departmental friction point with an AI agent. Take your seat at the table.

The table is set. The data is ready. The AI is ready. The only thing missing is you.  Sit at the table and partake.

How are you using AI?  The future is there, take the chance to craft and design it, not have it crafted and designed for you.

Stay nerdy and thrive, my friends.

#data #AI #Dataliteracy #AILiteracy

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Jordan Morrow

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The Battle

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