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Google's Enduring AI Advantage: A Look at Fundamental Strengths

Google's Enduring AI Advantage

Exploring Google's enduring AI advantage through its fundamental strengths in R&D, historical innovation, and superior hardware infrastructure.

Introduction to GenAI

Introduction to GenAI

A balanced overview of Generative AI exploring both opportunities and challenges beyond the hype. Covers historical context, technical foundations, business implications, and unique insights.

Introduction to Data Science

Introduction to Data Science

A comprehensive overview of data science fundamentals, emphasizing common pitfalls in data projects. This talk challenges the mindset that 'more data solves everything' and offers practical insights for both technical practitioners and business leaders. Key topics include reproducibility in science, statistical significance, and the limitations of traditional analytical approaches.

From Hype to Sobriety: Revisiting Ken Griffin on AI

From Hype to Sobriety: Revisiting Ken Griffin on AI

Examining Ken Griffin's evolving stance on AI in finance: from his enthusiastic predictions in 2023 to his notably tempered outlook in 2025.

88 em dashes in 10,500 words, and yet written by a human

88 em dashes in 10,500 words

A lighthearted reflection on writing style, em dashes, and how large language models might be mimicking human quirks—featuring a surprisingly dash-heavy thesis written well before the AI boom.

Agile Infinity: When the Customer Is an Abstract Concept

Agile Infinity: When the Customer Is an Abstract Concept

A satirical slide deck that challenges Agile theatre, rituals, certification mills, and the illusion of customer focus in certain SAFe/Scrum implementations.

Argentina, Tariffs, and History Repeating Itself?

Argentina, Tariffs, and History Repeating Itself?

A reflection on Argentina’s economic decline, the dangers of protectionism, and the eerie parallels with today’s policies.

Introduction to GenAI

Introduction to GenAI

A balanced overview of Generative AI exploring both opportunities and challenges beyond the hype. Covers historical context, technical foundations, business implications, and unique insights.

Gödel's Logical Loophole: A Hidden Threat in the Constitution?

Gödel's Logical Loophole

Kurt Gödel, Albert Einstein, and a shocking claim: a logical loophole in the U.S. Constitution. Explore this historical anecdote and its unsettling implications for democracy today.

The Sometimes Unsettling Inner Thoughts of DeepSeek

The Sometimes Unsettling Inner Thoughts of DeepSeek

A humorous look at how AI language models reveal their thinking process, inspired by DeepSeek's characteristic style of showing its thoughts

Introduction to Data Science

Introduction to Data Science

A comprehensive overview of data science fundamentals, emphasizing common pitfalls in data projects. This talk challenges the mindset that 'more data solves everything' and offers practical insights for both technical practitioners and business leaders. Key topics include reproducibility in science, statistical significance, and the limitations of traditional analytical approaches.

When Averages Lie: Moving Beyond Single-Point Predictions

When Averages Lie

Why single-point predictions mislead and how full probability distributions can improve decisions—illustrated with a Parisian real estate case study.

The Random Logic of Gemini 1.x

The Random Logic of Gemini 1.x

A humorous look at Gemini Advanced's seemingly random response patterns in Europe, illustrated through pseudo-code that suggests a simplified decision-making process. This post contrasts Gemini's occasional brilliance with its inconsistent performance compared to other leading AI models.

The Crystal Ball Fallacy: What Perfect Predictive Models Really Mean

The Crystal Ball Fallacy

Why confusing perfect prediction with certainty can lead to disaster — a quant trader's costly lesson about models and probability.

Data-Driven or Data-Derailed? Lessons from the Hello-World Classifier

Data-Driven or Data-Derailed?

The misuse of predictive modeling intended for business purposes can lead to outcomes ranging from humorous to harmful—organizations need to carefully evaluate whether their implementations match their intended goals.

When AI Draws Your Life: A Single Attempt, A Deeper Reflection

When AI Draws Your Life

An AI-generated depiction of my life included unexpected personal details—like my bicycle and a nod to Japan—prompting reflection on how technology interprets identity.

From Fermat's Margin Notes to AI Apocalypse: A Mathematical Comedy

From Fermat's Margin Notes to AI Apocalypse

Tracing the unlikely journey from Pierre de Fermat’s margin notes to the cutting-edge world of AI, this post humorously explores how the humble pursuit of minimizing functions gave rise to technologies that spark debates about humanity’s future.

The 42 Conspiracy: Uncovering Adams' Master Hack

The 42 Conspiracy

Explore how Douglas Adams' iconic number '42' infiltrated global software development, leaving an indelible mark on random number generation (and possibly the fabric of reality).

The Cultural Hurdles of Innovation via Data Leveraging: Lessons from Failed Flight and Tech Giants

Cultural Hurdles of Innovation via Data Leveraging

Drawing parallels between early aviation failures and contemporary digital transformation efforts, this essay explores why traditional companies often struggle with innovation and data initiatives despite significant investments. Like early flight pioneers who failed by mimicking birds without understanding aerodynamics, many firms pursue surface-level digital adoption without embracing the fundamental organizational changes necessary for success.

Introduction to LLMs

Introduction to LLMs

A non-technical overview of Large Language Models, exploring their potential, limitations, and customization for specific challenges.

The Future With Generative AI

The Future With Generative AI

All is well...

Marvin Has Got a New Depiction

Marvin Has Got a New Depiction

DALL.E was asked to depict Marvin, the Paranoid Android from The Hitchhiker's Guide to the Galaxy.

Generative Models and ChatGPT

Generative Models and ChatGPT

Slide deck prepared to support a couple of rather informal talks on generative models and ChatGPT. The targeted audience is ranging from folks with little technical literacy to mid-level data scientists.

iQHorse—Towards Beating the Market

iQHorse—Towards Beating the Market

Brief introduction to the online magazine iQHorse.

Ideation: First Step Towards Innovation

Ideation: First Step Towards Innovation

Slides prepared for a 'brownbag' talk on ideation.

Are Decisions From a Single Point Wise?

Are Decisions From a Single Point Wise?

Slides prepared for a talk given at zeroG, a subsidiary of the Lufthansa Group specialised in data science. The targeted audience was rather broad, spanning from data scientists and business analysts, to senior executives.

An Analysis of the Competitive Dynamics Behind the Disruptor’s Dilemma

Competitive Dynamics Behind the Disruptor’s Dilemma

The introduction of a potentially disruptive technology into a mature multisided ecosystem often faces a seemingly dilemmatic challenge: persuading a critical mass of incumbents to support the technology that might eventually disrupt them. We analyse this apparently perplexing phenomenon under the lens of a global coordination game of incomplete public and private information; and more precisely an adaptation of a game of regime change.

Japan—A Macroeconomics Perspective

Japan—A Macroeconomics Perspective

Five macroeconomics issues about Japan are discussed. (i) Long-term Strengths and Weaknesses of the Macroeconomy; (ii) Trade Position and Competitive Advantage; (iii) Policy Options to Increase Net Exports; (iv) Impact of the 2007–2008 Financial Crisis and the World Economic Slowdown and (v) Possible Impacts on the Economy if Greece Decides to Withdraw from the Eurozone.

Customer Centricity in the Airline Industry

Customer Centricity in the Airline Industry

Traditional airlines in Europe are facing an increasingly fierce competition. In the meantime, the information era surfaces at an inordinate pace, bringing new technological means, new paradigms and new mindsets. The availability of data and the booming of social media have changed the game. In this personal essay, I share my naïve view on how the combo big data/machine learning could be harnessed in order for traditional airlines to regain a competitive edge. In particular, this combo provides a solid ground for transitioning from product centricity to customer centricity.