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Changes taking place in the post-pandemic era…
Because AI is such a horizontal technology, I almost view it in a sense as a data technology. The only thing that makes AI work is data. We can use that in different ways. I think the next frontier for AI in business is getting into the nuts and bolts of how companies run themselves and we see the businesses as the output of the sum total of all of their decisions. That’s where we are trying to enable companies to enhance that decision making, using the predictive and categorical capabilities of algorithms and AI.
The last couple of years have seen an acceleration in technology adoption largely driven by the pandemic because lots of things moved online and people started working remotely. A lot more of our lives are digital and we are creating a lot of data. We are able to understand our businesses better because of that data. We can use that understanding to create AI and decision intelligence applications to help run our businesses better.
Data and the role of AI-ML…
Just having a mobile phone in itself produces a huge amount of data constantly: Event based data, logs of all the actions that you take, every movement of interactions with applications and things like that. That quantity of data requires technologies to help people process it and draw meaning from it. That’s where you see Machine Learning often used to extract insight from those huge data sets.
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Diese Geschichte stammt aus der August 2022-Ausgabe von PCQuest.
Starten Sie Ihre 7-tägige kostenlose Testversion von Magzter GOLD, um auf Tausende kuratierte Premium-Storys sowie über 8.000 Zeitschriften und Zeitungen zuzugreifen.
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