Business Science
How Data Scientists Have Adapted to Meet Urgent Business Needs in the Face of the Covid-19 Crisis
At the beginning of this year, I was interviewed for an article about critical trends in data science I predicted for 2020. When I said that changes were happening so rapidly that it was practically impossible to fully anticipate what would happen in the field of data science over the next year, I had no idea how true that would be for 2020.
With the Covid-19 pandemic upending everything around the world this year, the major trends in data science, especially data science applied to the business world, have changed significantly. …
Business Science
Just because AI isn’t yet worthy of science fiction, it doesn’t mean it’s not already revolutionary
Two years ago, Berkeley computer science professor and AI expert Michael I. Jordan wrote an article warning against overinflating the claims of AI. He declared the AI revolution something we could only hope to reach in the future. I’d argue the revolution is now here. It just doesn’t look the way sci-fi always portrayed it.
AI: The “intellectual wildcard”
As Jordan rightly points out in his article, the term “artificial intelligence” or “AI” is applied so widely to so many technologies that it has become practically meaningless.
“The current public dialog about these issues too often uses “AI” as an intellectual wildcard, one that…
Business Science
A versatile flow of flow checks
An introduction to EvoFlow
EvoFlow is a versatile platform developped by Evo’s data engineer and devOps teams that creates, schedules and monitors workflows.
Codifying workflows allows the development teams to create and share versions of their products. This collaborative process can all happen while maintaining the structure of those products or, even better, while improving those structures.
EvoFlow was created to be an enhanced flow of ETL, Scraper, and other data pipeline checks, but its functionalities expand far beyond these uses.
The EVO way
So why did we create our own platform? After all, the widely-adopted, AirFlow (https://airflow.apache.org/) can do all of the things that EvoFlow does…
“Machine learning, like all technology, does not always make the world a better place, but it can” (A. Moltzau, 2019 [20]).
Background
Since the beginning of the industrial revolution (1860), anthropogenic activities have increased the atmospheric carbon dioxide (CO2) from 280 ppm to over 400 ppm [6]. The global ocean has sequestered roughly a third of this anthropogenic CO2 (Cant, Fig.1), limiting the impacts on the global climate [3] such as the increase in the Earth’s mean temperature. However, Cant can only be estimated indirectly in the ocean with an uncertainty of ±20%. …
Tobia Tudino
Evo Lead Data Engineer since 2020 - Machine Learning Engineer since 2019 - Academic Researcher since 2010 - Chemical and Physical Oceanographer
