S1E8 - Augment don't replace : Rethinking AI in the Enterprise скачать в хорошем качестве

S1E8 - Augment don't replace : Rethinking AI in the Enterprise

Internet, the iPhone, AI … The world has known a lot of disruptive technologies in the past decades that are now totally commoditize 🌐 But if we look back on the history, the adoption of those technologies hasn’t been… evident 🥱 What we tend to forget is that before being adopted by the masses, all those innovations where driven by companies around the world implementing them to solve their own challenges 🏭 But don’t think those companies know first-hand how to take advantage of those shiny new products, they are helped by people that truly believe they are real innovations and spend a lot of time and resources evangelising, training, and selling to companies around the world 💪 One of those innovating companies is TRU Recognition, who are pioneers in deploying AI solutions to their clients specifically on computer vision use-cases to answer questions like How to drive more customer engagement in stores? 🏪 How to improve the security of our airports? 🛩️ How to boost the safety of warehouses? 🏭 Vital questions that are now totally addressable by AI and Computer Vision 👁️ But how can big companies actually adopt those technologies?  Well it takes a lot of experts like Nick who are at the frontier of tech and sales and are able to actually “see” the use-cases for a given industry and explain the people there how to master the technology 🧑‍🔬 I was really happy to do this episode, a bit less technical than usual but that emphasizes on the importance of sales to actually drive the adoption of the next wave of AI products! TRU Recognition ➡️ ⁠https://www.trurecognition.io/⁠ Nick ➡️   / nicondos   I hope you liked this episode, I’m waiting for your feedbacks in the comments! This podcast is brought to you by Picsellia, the MLOps platform fully dedicated to Computer Vision. Picsellia got all the tools to assist AI engineers, from labeling to monitoring models in production. Visit Picsellia ➡️ ⁠https://picsellia.com⁠ For more content, you can follow me on Linkedin ➡️ ⁠  / ⁠    I’ll happily answer to your messages 🙂