You don’t have to be a fortune teller to identify AI as the key trend for the 2020s. But there is nuance regarding AI hardware and software that deserves to be highlighted.

Picking up from where we left off with part one of the top technology trends for the 2020s, here is what will shape the data landscape for the years to come.

The last part of the 2010s has been all about AI, and the 2020s will not be any different. We will see AI widening its reach, and impacting every conceivable field. Having already seen the AI hype rise, however, we must also be prepared for a backlash. And it’s very important to be aware of what “AI” actually means.

In essence, what we call AI today is an umbrella term for various pattern matching techniques. Machine learning and its various subdomains, such as deep learning, essentially boil down to pattern matching. We’ve seen several breakthroughs in the 2010s, but the seeds for most techniques and algorithms have been planted decades ago and remain essentially the same.

Still, we have seen the performance of AI systems in many domains going from being worse than human, to catching up and surpassing humans. How is that possible? The answer is twofold: Data and compute.

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