Skip to content

Tag: Data Science






How to Scale Up Your Algo Game

In the digital marketing era, we have seen an exponential increase in the amount of data generated, stored and analysed from an ever-growing plethora of systems. But, it is not only the complexity of the data and algorithmic landscape that has increased dramatically.

Read more >>

POC: Build at Scale or Experiment First?

A proof of concept (POC) is a miniature project to demonstrate the value of a concept before fully committing to it. It is common practice to use this type of experiment to explore possible ways forward, discover pitfalls, and convince your organisation that you are on the right track. Unsurprisingly, there are many similar and related concepts in software development and data science, such as “AI experiments” and “minimum viable products”, but these terms will not be explored in-depth in this blog post.

Read more >>

Wärtsilä Achieving Measurability and Reaping the Rewards Beyond

Continuing on their path of data-driven marketing, Wärtsilä has now, together with Avaus, reached a significant milestone in the efforts to measure and validate the impact of marketing on revenue. By utilising machine learning and robust statistical analysis, a marketing attribution model has seen the light of day. We are now able to measure the impact and significance of marketing in monetary terms. We have gotten to Denmark, yet for us it is not the final destination.

Read more >>

Photographing a Black Hole – or How to Turn Petabytes of Data Into a 100kB Picture

On April 10th 2019, the Event Horizon Telescope (EHT) project team released the first picture ever taken of a black hole. The subject is a supermassive black hole residing in the Messier 87 galaxy, 53 million light-years away. This black hole has a mass of 6.5 billion Suns, with such a gravitational pull that even light cannot escape beyond its event horizon.

Read more >>

11 Digital Marketing Trends for ­2019-2020: Data Science

Emma Storbacka new CEO for Avaus