Archive - Data Points

Specificity is the way

Key questions to create high-impact data visualizations in the age of AI

Feb 13 •

April 2024

LLM mistakes to avoid (Part II)

The key for effective model evaluation is to start from a clear-cut use case

Apr 8, 2024 •

Mistakes to avoid when using LLM-powered chatbots for business

Part I: Why tests designed for humans shouldn't be trusted to measure LLMs' capabilities

Apr 4, 2024

March 2024

Three mistakes causing your "data-driven" strategies to fail to create breakthrough performance

(And how to fix them)

Mar 14, 2024 •

November 2023

Data needs people more than people need data

Back in 2018, alarmist headlines about Amazon’s Whole Foods stealing Trader Joe’s shoppers were everywhere.

Nov 7, 2023 •

September 2023

AI rich, insight poor

The challenge plaguing corporate generative AI efforts in customer service

Sep 6, 2023 •

August 2023

Why generative AI is just the latest technology getting in the way of smart data management

The problem persists, but don't blame large language models for it

Aug 27, 2023 •

May 2023

How to increase your individual productivity with free generative AI

Even if, like me, you refuse to use ChatGPT for content creation

May 23, 2023 •

October 2022

Unpopular opinion: executives don't need "data literacy" training

Every few months, I get this question on my inbox: Would you be willing to design and teach a quick data literacy course for the executives at my…

Oct 12, 2022 •

July 2022

Why game-changers are unlikely to originate from split testing

And how to broaden your thinking about experimentation

Jul 8, 2022 •

April 2022

Framing a machine learning challenge as a business problem

It's only hard if you use the wrong mental model

Apr 25, 2022 •

September 2021

Before you leave the house, look in the mirror and take one thing off

By acknowledging our neglect of subtraction, we can overcome it

Sep 21, 2021 •

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