Blog Archives

20 Sep 2022

Building and Deploying Reproducible Machine Learning Pipelines

Deployment of machine learning (ML) models, or simply, putting ML models into production, is fundamentally about bridging the gap between the research environment and live systems. Successful deployments make our models available so they can be easily accessed by both internal and external systems, depending on business requirements. Once our ML models are deployed, other […]

20 Sep 2022

Catastrophe modelling: applying science, data science and open source software to managing risk

Catastrophe modelling is a data-driven discipline for understanding and managing the risk of natural catastrophes, developed by the global insurance industry

20 Sep 2022

Why high quality data is crucial for your machine learning models

e’ll dive into what quality data is (and what it’s not), how you can get access to your quality data and highlight

20 Sep 2022

The Making Of a Time Series Forecasting automated pipeline

A journey from understanding the literature of time series forecasting, packaging the latest open source methods in a single pipeline, and making an interface for business users.

20 Sep 2022

AB testing in mobile games

Farm Heroes Saga is one of the few games that has made over a billion dollars since its launch, and it is still going strong after 5 years.

20 Sep 2022

An audience with a Kaggle Grandmaster

Kaggle competitions and has achieved the number 1 ranking.

20 Sep 2022

Transforming the management of Natural and Built Assets through Analytics

Across the globe, trillions are being spent each year on infrastructure to keep our lights on, our roads open and the water running from our taps.

20 Sep 2022

Who’s Going to Make Money in AI and Machine Learning?

An unprecedented amount of data is being generated on a daily basis. Automatic processing and analyses of these data sets, therefore, offer numerous benefits to decision-makers in the governmental and commercial arena.

20 Sep 2022

A picture is worth a thousand words. But what does it say?

An unprecedented amount of data is being generated on a daily basis. Automatic processing and analyses of these data sets, therefore, offer numerous benefits to decision-makers in the governmental and commercial arena.