10 Artificial Intelligence Trends of 2023
One of the main factors stopping small businesses and innovators from developing AI solutions has to do with the high initial investment needed.
And this comes in two faces.
First, is the amount of time it takes to prepare the data needed to properly train a model, and then comes the cost of acquiring supercomputers with colossal computing power that can actually run functional ML models.
But through cloud computing, innovators can now benefit from AI technologies even if they lack access to their own supercomputers, huge datasets and top tech talent.
Because of its ability to flawlessly solve the adoption bottleneck of AI, cloud computing is now one of the top trending technologies in artificial intelligence that any serious AI adopter should be aware of in 2021.
It enables the delivery of computing resources and services like servers, database, storage and intelligence over the internet.
In this infographic, we’ll highlight some of the other trending technologies in AI that, just like cloud computing, are dealing a major blow in various fields of study as well as the economy in general.
While this is a visual representation of the state of AI today, check out the original article on the top 10 AI trends for the complete text with detailed explanations of each trend.
As you’ll establish in a moment, some technologies like AIoT will experience some jaw-dropping growth, as the AIoT market alone is projected to have a value of $ 1.4 trillion by 2027.
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