When LLMs first went viral, I remember asking ChatGPT to write my 2 year old son a xmas story. Fast forward to now and Klarna has saved 700 agents and increased $40 million in profits with the same tech. Needless to say, the heat is on for most business leaders to show how they are driving results with AI. But the question that seems to still be on everyone's lips is: "how do I get started with AI?" or, "how do I take my AI POCs/Pilots to enterprise & scale ready?" To get real value from Generative AI, companies need to be able to work with large language models across custom and curated datasets–no technical expertise required. Prompt meets Data Engineering (PxD) gives non-technical users the building blocks to identify, manage, and deploy AI opportunities at scale. That is why I am so excited to be joining HumanFirst working with Gregory Whiteside, Mathieu Rene, Maeghan Smulders, Alex Dubois, Stephen Broadhurst, André-Philippe Paquet, Keith (KJ) Chow and many more. A customer, on one of my first meetings, put it perfectly, "HumanFirst is the AI tool for managing your AI." ~ I am deeply appreciative of my time working at Ada over the last years. Thank you Dan Code-McNeil, Mike Murchison, Josh Solomon, Scott Roden, Anuj Arora, Krystal Ford McCann, Hilary Janzen, Michael Elliot, Adam Mix, Anthony Snell, Mike Lidin, and every sales, cs, sc & Ada employee that I worked with - truly a world class team.
okay John Norris - congrats
Congratulations John 🥂
Extremely grateful to have partnered with you John Norris. Your new team is lucky to have such a strong sales leader.
Congrats John!! JN2024!
I’m stoked to have you join us John Norris and lead this next phase of revenue growth with us 🚀
HumanFirst won the lottery with you! They're so very lucky.
congratulations John
Congrats John Norris! Humanfirst is a great Google Cloud partner, excited to see you help scale their business!
Good luck John ... connect those tactics to strategy :P
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
4moYour journey from asking ChatGPT for a Christmas story to Klarna's impactful use of LLMs is fascinating. As the demand for AI solutions intensifies, the transition from POCs to enterprise-scale readiness becomes crucial. HumanFirst's Prompt meets Data Engineering (PxD) approach indeed seems like a game-changer, empowering non-technical users to harness large language models seamlessly. Considering the evolving landscape, how do you foresee PxD shaping the future of AI adoption, especially in terms of accessibility and scalability?