The folks at IBM Corp. really took their time with Watson 1.0. They spent nearly a decade working before making the move from that original vision. But, Watson 2.0, also known as watsonx, is a whole different ball game, my friends. This time around, it’s all about generative AI, and IBM has really positioned themselves to be a major player in this space. They’ve got a strong technological foundation, an advanced AI stack, a hybrid cloud position, and are teaming up with some industry experts to apply AI in some specific use cases.
Last week, me and a couple of my pals from the CUBE Collective had the opportunity to spend some time at IBM’s research headquarters, and it’s a real gem, folks. The place has been cranking out innovations in a bunch of different fields for decades, and is even a big part of IBM’s quantum computing research.
At the event, we got some insights from IBM’s head of research and head of software on gen AI, infrastructure, semiconductor advancements, and quantum computing. It was a good day, and we’ll be sharing more of our perspectives on it.
As far as AI spending goes, it’s been a bit of a rollercoaster during the pandemic. Spending peaked on machine learning and AI, and then dipped, but it’s on the rise again. Companies are reallocating budget to fund gen AI, and it’s really interesting to see who’s making traction in this space. Microsoft and OpenAI are leading the pack, with Watson from IBM not far behind.
Overall, it’s clear that IBM is onto something big with watsonx. They’ve had quite the spike in momentum recently, and they’re really stepping up their game. It’s all very exciting stuff to be witnessing, my friends.