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”.
Read More →Taking the world by simulation: The rise of synthetic data in AI
Would you trust AI that has been trained on synthetic data, as opposed to real-world data? You may not know it, but you probably already do — and that’s fine, according to the findings of a newly released survey.
Read More →2022 technology trend review, part two: AI and graphs
AI and graphs have a few things in common: they are multi-faceted, ubiquitous in their applications, and seeing rapid growth in the 2020s.
Read More →2022 technology trend review, part one: Open source, cloud, blockchain
Open source is here to stay, the cloud is catalyzing its growth, and the blockchain ecosystem is growing and diversifying.
Read More →OctoML announces the latest release of its platform, exemplifies growth in MLOps
OctoML is announcing the latest release of its platform to automate the deployment of production-ready models across the broadest array of clouds, hardware devices and machine learning acceleration engines.
Read More →Edge Impulse wants to bring machine learning at the edge to everyone, announces $34M Series B funding
55.000 projects, 30.000 developers, $54M funding, and customers, including the likes of NASA, in a bit over 2 years. Edge Impulse is riding the wave of machine learning at the edge
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