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PASSIO BLOG
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- Apr 19, 2022
Machine learning: which businesses can benefit from this technology?
The machine learning market will reach 96.7 billion dollars in 2025. Over the next few years, more and more companies will opt for ML to...
- Mar 28, 2022
AI in healthcare
Artificial intelligence technologies are present in modern business, our daily life and also in healthcare. The use of AI in healthcare...
- Feb 2, 2022
What are the keys to data science success?
So, if you want your data science team to achieve more, make sure they meet these three Cs: Context, Consistency, and (secure) Collaboration
- Nov 25, 2021
Tech Trends: Which technologies will dominate in 2022?
Predicting the future is difficult and risky and in the tech industry is even more. In 2022, the covid-19 pandemic will continue to...
- Sep 20, 2021
Keeping Up with DATA
The total amount of data created, captured, copied and consumed globally has increased more than 5000% and is expected to continue...
- Jun 25, 2021
Data Monetization & Management
The data monetization landscape in changing rapidly and companies need to adapt if they do not want to be left behind.
- May 13, 2021
Machine learning: what is it and what is it for?
Machine learning is nowadays a hot topic with great development, especially for the advantages it brings to business.
- Feb 3, 2021
Back to the... Mainframe!
When we talk about mainframe we immediately think of screens in character mode and old and obsolete technology. But the mainframe is more...
- Nov 19, 2020
AI-driven technologies, this is the way
AI-driven technologies, businesses can predict, prospects and plan, and it has become easier to line up future constraints.
- Aug 19, 2020
Data Scientists and Marketers team up for better results
With more accurate predictions, smarter business decisions will be made, and this is the main value that data science offers to marketing.
- Mar 26, 2020
Microstrategy new features for 2020
One of the biggest apps, MicroStrategy, recently presented its news for 2020, which promises to streamline and improve the 2019 version.
- Sep 9, 2019
My (still short) experience with the DataRobot
I admit that, like many professionals in my area, the initial skepticism about the DataRobot platform - and many AutoML platforms - was big,
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