Sitemap - 2024 - Datacisions

The sword of destiny has two edges

It got to me

There's what really happened

Good PMs don't prioritize feature requests

The best available human

Creativity > Productivity

Building things with the help of AI

Silent product managers

Attention and intimacy grabbing machines

New technologies drive economical prosperity

We say we want the truth

The aliens are here

Time management is essential

Nearsighted roadmaps ftw

OpenAI tries to conquer the last interface of the internet

Working at a start-up is a lot

Scaling Visual Content with AI

The head of data's first priority

The Driver Seat

Think straight

Why Yan LeCun thinks he can do better than LLMs

Glue experiments

Chainsaws matter

Single-threaded leadership didn’t work

Data isn’t about empowering decisions anymore

How Max built a data-driven org at preset

Making AI work in organizations

Vertical SaaS with AI

The new kid on the block: agentic AI

Reusability in data models

Gen AI in every aspect of your product

Always building, always sharpening the axe

Working with AI works differently

We’re afraid of admitting working with AI

Taking a vacation from your everyday life

Start-Ups fail because they move too fast

Dashboard loading states

But I’ll need that metric for my next report

Dashboards suck

Is Your Data Strategy Missing the Mark?

From Data to Action: Turning Insights into Results

Airbnb's Real Game-Changer: Data Over Innovation

Is Your Start-Up's Content Strategy Missing the Mark?

AI Is Overhyped And Underrated

The Biggest AI Mistake You’re Making

You Don't Need More Time To Decide

Escaping Data Flatland: Using Algorithms to Add Depth to Your Decisions

Why You Shouldn’t Wait for the Perfect Algorithm Use Case

My Process For Coming Up With 90→10% Features

Tiny AI, Big Impact

The Unfair Advantage Of (gen)AI Users

Transparency & Explainability > Accuracy

Why You’re Too Slow for AI

Building AI for the Future

Hope is a terrible strategy

Delayed Planes: What Algorithmic Decisions Teach Us About Timing

The Algorithmic Advantage: Why Digital Data Processes Beat Intuition

We Can Become Data-Driven Once We’re Bigger

You Choose Paths, Not Options

Human-Computer Symbiosis: The Ultimate Algorithm-Driven Decision-Maker

Scaling to Billion-Dollar Success: The Role of Algorithms in Hypergrowth

Every Product Will Become Algorithm-Driven: Preparing for the Shift

How to Build an Algorithm-Driven Business Model Like Amazon

If you fail and say you have learned

You shouldn’t celebrate failure

Sell to tell

Waste no more time thinking about generative AI

Who built the house

Creating with AI is different

The tortoise, the hare, and the billionaire: a fable of modern decision-Making

Why you’re underestimating AI

Exception reporting

No, you should not wait for a good use case

Doing content right as a tech start-up

Introducing algorithm-driven decision making - a paradigm shift in business strategy

There’s no right answer

One-way vs. two-way decisions

Generative AI changes the game

Every Product Will Become A Data Product

The power of consistency

Stepping stones to success

The pain button isn’t about recording pain.

Dashboards lie

Knowing you’re right

Deliver results

No one knows what “Click to deliver” is

We Need to Rethink How to Work With AI

Great Quotes Pt. 8: Outliers

Great Quotes Pt. 7: Lazy People

Great Quotes Pt. 6: Delete

Great Quotes Pt. 5: Understanding

Great Quotes Pt. 4: Great Problem Solving

Great Quotes Pt. 3: Reality

Great Quotes Pt. 2: Expectations

Great Quotes Pt. 1: Generalist PMs

Internal data platforms have lots of different users

I write to think

Sometimes, you shouldn’t be data-driven

The magic of product discovery

Agentic RAG - How we will build LLM applications in the future

Open-weight models

There are no solutions. Just trade-offs.

MLflow, Kubeflow, Metaflow

101 of MLflow

The current generative AI journey for any product

ChatGPT is the ultimate brainstorming machine

Data platform blueprint for start-ups

“There’s immense value in your data.”

Brief history of AI, what now?

Scaling generative AI

I just wrestled with bash & CSVs for 60 minutes

Assume ignorance

Building a data platform

Data-driven decision-making is a misnomer

Transparency > correctness in data quality

Small fires don’t matter, but some do

Test data isn’t the best validation for your model.

Amazon auto-buy

No one wants to be data-driven

My most productive work days have this in common.

A data strategy doesn’t have to be unique

When to centralize data work

Slow is better

Theories are always wrong

ML is the Javascript of 2018

The easy way out exists!

Counterfactuals matter in data science

Data science Smells

Weather forecasts suck

One way to develop generative AI-based features

Opportunities are not equal.

What to push and how to push

Plan for success; know you’ll fail

Sunset more often

How do I extract value from my data?

Five lessons from Amazon on plotting data better

Data Mesh explained simply

Numbers aren’t data-driven

You don’t have to throw everything away

Mechanism design matters

The mango looked fine from the outside

A Data-driven culture is an output metric

Creation > non-creation