Keynote: Data Transparency, AI Use Cases, Data Sovereignty
Discover how AI drives business success with insights on data management, transparency, regulation, and actionable strategies for 2025.
Dr. Phil Winder
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7 minArticles in this topic
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Dr. Phil Winder
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7 min
5 Productivity Tips for Data Scientists
As the global demand for data science grows, the responsibilities of data scientists increase by the day. This article investigates five ways to increase your productivity.
Janet Miller
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5 min
Unit Testing Data: What is it and how do you do it?
Reap the benefits of your raw data through learning the importance of unit testing, how to apply it, and what tools to use for enhanced data quality.
Hajar Khizou
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8 min
Improving Data Science Strategy at Neste
Learn how Winder.AI defined Neste's Data Science strategy.
Dr. Phil Winder
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3 min
How We Work With Cloud-Native Data Science: An Interview With Phil Winder
As a business, how should you embark on a data science project? Should you be using cloud-native technologies? In this interview, Phil Winder discusses how he operates with other businesses to build businesses of the future.
Dr. Phil Winder
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5 min
COVID-19 Hierarchical Bayesian Logistic Model with pymc3
Building a hierarchical logistic model of COVID-19 cases in pymc3.
Dr. Phil Winder
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28 min
COVID-19 Logistic Bayesian Model
Building upon the previous simple exponential model, in this post I look at using a logistic model for modeling COVID-19 cases.
Dr. Phil Winder
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8 min
COVID-19 Exponential Bayesian Model Backtesting
Building upon the previous simple exponential model, I implement backtesting to quantify prediction error.
Dr. Phil Winder
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6 min
COVID-19 Exponential Bayesian Model
Learn how to use pymc3 for Bayesian modelling of COVID-19 cases.
Dr. Phil Winder
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5 min
COVID-19 Response: Athena Project and an Introduction Bayesian Analysis
An introduction to the Athena project and using bayesian analysis for COVID-19 modeling.
Dr. Phil Winder
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5 minNewsletter
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Case studies and industry analysis from our team. No hype, roughly monthly.