2014 vs 2020 - The tech trends transforming the world of business

Posted by Comtrade Digital Services on Dec 2, 2020 2:27:29 PM

We live in an information age where technology is constantly and rapidly progressing with every single day. Furthermore, emerging technologies are driving the rapid rate of innovation and having a transformational impact on the IT industry and further afield. As Bill Gates once said, “Innovation is moving at a scarily fast pace.”

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Topics: Agile, digital transformation, Blockchain, artificial intelligence, data science, Technology, machine learning

Looking More Closely at AI and the Reverse Arc of Digitalization

Posted by Comtrade Digital Services on Jul 8, 2020 12:00:04 PM

Over the past years, digitalization has been a buzzword for many companies, as they try to take advantage of new technologies, including Artificial Intelligence (AI) and cloud environments, to improve operations, centralize data, and enhance customer engagement.

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Topics: digital transformation, artificial intelligence, data science, machine learning

See the Unseen with Artificial intelligence: COVID-19 Story

Posted by Aleksa Radosavčević on May 13, 2020 12:24:35 PM

In every pandemic crisis throughout the history, analyzing data and numbers mattered. And the history isn’t short. In modern days, collected information material on crisis was analyzed upon the end of each pandemic, resulting in statistic reports, based on which key takeaways were drawn out. This knowledge accumulation is invaluable, and represents the foundation of modern epidemiology, setting up the rules and guidelines for handling pandemic crisis situations. On the other hand, there’s no doubt that AI provides an abundant arsenal of tools used to fight pandemic. 

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Topics: artificial intelligence, data science, machine learning, covid19, coronavirus

Automated Machine Learning - is it really here?

Posted by Jasmina Ovčak on Mar 10, 2020 1:51:54 PM

When you read about Machine Learning (ML), and what this concept represents, everything may seem idyllic and simple - you have some data, you pass it on to an ML algorithm, and voila, magic happens. You get a model that can predict the future. Not long ago, I would’ve said: "Not so fast, there is a LOT of manual work behind this story, and you can't simplify ML just like that." However, today, when Automated Machine Learning (AutoML) is a reality, I would’ve to think twice before saying this, and maybe even believe that magic does exist.

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Topics: artificial intelligence, data science, machine learning