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How to build a successful team of 100 members in 5 years?
How to build a successful team of 100 members in 5 years?
A story of Unit8, fastest growing Swiss company, achieving 100+ employees in less than 5 years
Johanna Dousse
Oct 17, 2022
AI & Manufacturing: Key take-aways from the Applied Machine Learning Days conference
AI & Manufacturing: Key take-aways from the Applied Machine Learning Days conference
AI & Manufacturing: Key take-aways from the Applied Machine Learning Days (AMLD, Lausanne) 2022 conference
Gael Grosch
Oct 17, 2022
Hierarchical Forecast Reconciliation with Darts
Hierarchical Forecast Reconciliation with Darts
Perform hierarchical reconciliation of forecasts very simply using the Darts open-source library
Julien Herzen
Sep 28, 2022
Unit8 is now a carbon-neutral company
Unit8 is now a carbon-neutral company
We share our journey to potentially help others to take the plunge. We also want to reflect and think of what to do next.
Bernard Maccari
Jun 9, 2022
Transfer Learning for Time Series Forecasting
Transfer Learning for Time Series Forecasting
We explore training forecasting models on a large and diverse time series dataset, in order to forecast new series without training.
Julien Herzen
May 5, 2022
AI for Good — Unit8 for WWF pt. 2
AI for Good — Unit8 for WWF pt. 2
A report to predicting ground & soil characteristics by using machine learning on satellite data.
Maurice Rupp
Dec 16, 2021
Probabilistic Forecasting in Darts
Probabilistic Forecasting in Darts
How to navigate uncertainty when predicting the future using probabilistic forecasting models in Darts. Timeseries forecasting
Francesco Lässig
Dec 10, 2021
Great people make amazing team, and vice-versa
Great people make amazing team, and vice-versa
What it takes to have a healthy culture and a great team.
Rudolf Höhn
Nov 3, 2021
Time Series Forecasting Using Past and Future External Data with Darts
Time Series Forecasting Using Past and Future External Data with Darts
Building models that are able to capture external data is often a key aspect of time series forecasting projects. For instance:
Julien Herzen
Aug 13, 2021
MLOps — When Training The Best Model Is Not Enough.
MLOps — When Training The Best Model Is Not Enough.
You need to bring DevOps-like practices to Machine Learning (MLOps) to improve the chance of making your project successful.
Bartosz Blazejewski
Jul 28, 2021
Better, Cheaper, Faster: How Artificial Intelligence Is Changing the Way of Discovering New…
Better, Cheaper, Faster: How Artificial Intelligence Is Changing the Way of Discovering New…
Advanced analytics and artificial intelligence (AI) are becoming increasingly important for the chemical industries. In the past, chemical…
Julien Herzen
Mar 18, 2021
The Impact of AI in Insurance
The Impact of AI in Insurance
Data has been at the heart of the insurance industry since its beginnings. Get an update on rapidly spreading AI technologies in insurance
Fabian Schramm
Mar 9, 2021
A Guide to Building a Financial Transaction Anomaly Detector
A Guide to Building a Financial Transaction Anomaly Detector
The article discusses the topic of machine learning based anomaly detection on financial transactions.
Francesco Lässig
Feb 25, 2021
Training Forecasting Models on Multiple Time Series with Darts
Training Forecasting Models on Multiple Time Series with Darts
Any quantity varying over time can be represented as a time series: sales numbers, rainfalls, stock prices, CO2 emissions, Internet clicks…
Julien Herzen
Feb 15, 2021
AI for good — Unit8 for WWF
AI for good — Unit8 for WWF
Unit8 & WWF —a case study of wildfire spread prediction in South America
Blazej Fiderek
Jan 28, 2021
Towards a more digitised Switzerland: Unit8’s participation in Digital Days
Towards a more digitised Switzerland: Unit8’s participation in Digital Days
Unit8’s obesrvations based on the collaboration with #digitalswitzerland during the #swissdigitaldays 2020
Johanna Dousse
Dec 3, 2020
Data&AI in Mercedes-Benz Finance — key elements to success
Data&AI in Mercedes-Benz Finance — key elements to success
Potential of AI to transform industries is being broadly discussed in the media. Check best practices by Daimler’s Walid Mehanna.
Kamil Zalewski
Nov 4, 2020
Temporal Convolutional Networks and Forecasting
Temporal Convolutional Networks and Forecasting
How a convolutional network with some simple adaptations can become a powerful tool for sequence modeling and forecasting.
Francesco Lässig
Oct 28, 2020
Unit8 becomes Microsoft’s Gold Partner in Data & AI
Unit8 becomes Microsoft’s Gold Partner in Data & AI
Unit8 & Microsoft Switzerland announced a partnership in Data and Artificial Intelligence (AI) domain to jointly deliver innovative…
Kamil Zalewski
Oct 18, 2020
Six steps guide to running successful AI program
Six steps guide to running successful AI program
Introduction
Marcin Pietrzyk
Sep 16, 2020
Unit8 Talks — webinar Season 1 summary
Unit8 Talks — webinar Season 1 summary
Unit8 SA is on a mission to drive AI adoption in the industry and to help close the AI knowledge gap.
Kamil Zalewski
Aug 4, 2020
Darts: Time Series Made Easy in Python
Darts: Time Series Made Easy in Python
Time series simply represent data points over time. They are thus everywhere in nature and in business: temperatures, heartbeats, births…
Julien Herzen
Jun 29, 2020
Announcing Unit8 Talks — a new webinar series on data & AI
Announcing Unit8 Talks — a new webinar series on data & AI
As part of Unit8’s mission we’re committed to driving the adoption of AI within the industry, focusing especially on the non-digital…
Kamil Zalewski
May 19, 2020
Optimize What You Can Predict: Model-Based Optimization Using Variational Auto-Encoders
Optimize What You Can Predict: Model-Based Optimization Using Variational Auto-Encoders
This is joint work with Julien Herzen. The complete code is available here.
Vincent Stettler
Apr 21, 2020
Entity Resolution
Entity Resolution
An article by Radu Jica and Bianca Stancu about Entity Resolution, a first step before any further analytics/AI can be applied to a…
Radu Jica
Apr 7, 2020
Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch
Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch
End-to-end training of a neural network saying where to go next
Julien Herzen
Feb 15, 2020
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