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what's your path into AI? 🤔 a lot of companies find themselves scrambling to implement AI in the vake of the biggest paradigm shift since the internet. some with more success than others. but what do you do if you already "had AI" the "old way"? do you just keep it as is, or do you evolve? 😬 since we started Strise as an "AI company" the entire field has been turned on its head -- and if you want to remain an AI company today you need to get on with the shift. that doesn't mean you should throw all of the traditional models out the window (please don't, Naive Bayes and xgboost are still a killer models 🫶), but it means you need to evolve. it was super cool to chat on stage with Eirik from Curipod and hear the story of how they went the other way around. 🤘🎙️ Curipod took something that already worked quite well, and actually made it even better with genai, creating features that were completely impossible to do without it. this is a perfect application in my opinion. reach out to Eirik if you want the details 😉 now image if we could combine the two: - take our existing knowledge of traditional AI - ... and leverage genai to create value in ways that would be impossible to achieve otherwise that's what we're doing to #AML at Strise! 💸👮🤖 big thanks to Kjetil Holmefjord, Henrik Hatlebrekke and the Sondo Capital team for hosting a great mixer and allowing us to share our stories 🫶