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In the spirit of the last couple of years, we review developments in what we have identified as the key technology drivers for the 2020s in the world of databases, data management and AI. We are looking back at 2021, trying to identify patterns that will shape 2022. Today we pick up from where we started with part one of our review, to cover AI and knowledge graphs. In principle, we try to approach AI holistically. To take into account positives and negatives, from the shiny to the mundane, and from hardware to software.

2021 technology trend review, part two: AI, knowledge graphs, and the COVID-19 effect


Last year, we identified blockchain, cloud, open-source, artificial intelligence, and knowledge graphs as the five key technological drivers for the 2020s. Although we did not anticipate the kind of year that 2020 would turn out to be, it looks like our predictions may not have been entirely off track. Let's pick up from where we left off, retracing developments in key technologies for the 2020s: Artificial intelligence and knowledge graphs, plus an honorable mention to COVID-19-related technological developments. This TechRepublic Premium ebook compiles the latest on cancelled conferences, cybersecurity attacks, remote work tips, and the impact this pandemic is having on the tech industry. In our opener for the 2020s, we laid the groundwork to evaluate the array of technologies under the umbrella term "artificial intelligence."

SambaNova is enabling disruption in the enterprise with AI language models, computer vision, recommendations, and graphs


Like artificial intelligence itself, the AI startup SambaNova is interesting across the stack. SambaNova has made the news for a number of reasons: high-profile founders, a series of funding rounds propelling it into unicorn territory, impressive AI chip technology and unconventional choices in packaging it. The company is now executing on its goal -- to enable AI disruption in the enterprise. SambaNova just announced its GPT-as-a-service offering, its ELEVAITE membership program for customers, and is working with one of the biggest banks in Europe to build what it claims will be Europe's fastest AI supercomputer. We connected with SambaNova CEO and co-founder Rodrigo Liang to talk about all that, plus one of our favorite topics: graphs and how they underpin SambaNova's offering.

What will applied AI look like in 2022?


AI adoption has skyrocketed throughout the last 18 months. Besides Joe McKendrick, who wrote the foundational piece on HBR, professionals who work on AI would readily attest to this statement. Google search seems to be in on this not-so-secret too: When prompted with "AI adoption," its auto-complete spurts out "skyrocketed over the last 18 months". Both anecdotal evidence and surveys we are aware of seem to point in this same direction. Case in point: The AI Adoption in the Enterprise 2021 survey by O'Reilly, conducted in early 2021, had three times more responses than in 2020, and company culture is no longer the most significant barrier to adoption.

Running AI workloads is coming to a virtual machine near you, powered by GPUs and Kubernetes


Run:AI offers a virtualization layer for AI, aiming to facilitate AI infrastructure. It's seeing lots of traction and just raised a $75M Series C funding round. Here's how the evolution of the AI landscape has shaped its growth.