AI Forge, Domino’s eye transformation of food delivery with AI
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On December 7, from 4:00 pm to 9:30 pm, AI Forge, the 12-week in-person artificial intelligence (AI) incubator that gives early-stage start-ups the education and resources they need to succeed, will host a hackathon with Domino’s Pizza (NASDAQ: DPZ). AI-powered solutions for quick service restaurants The hackathon will focus on the pain points experienced by Quick Service Restaurants (QSRs) and food delivery markets; participants will analyze the problems encountered in this industry by major players like Domino’s Pizza and then create solutions that harness the power of AI and machine learning that lead to innovation and increases in efficiency in the QSR and food delivery sectors. “This hackathon offers a unique launchpad for aspiring entrepreneurs and corporates in the QSR industry,” said Andrew Weston, the Partnership Director at AI Forge, who organized the hackathon. “The food delivery sector is growing, but its companies still experience several pain points. Naturally, as an artificial intelligence incubator, we began asking corporates what they’re doing in AI and if they feel like they’re using AI to the best of their abilities, and of course, nobody felt like they were doing enough! Despite having 25 ongoing AI projects, Domino’s were the first to jump on the wagon and said let’s do something about this now.” At the hackathon, participants will pick one of the many pain points experienced by Domino’s. They will be provided with several data sets such as delivery data, GPS points, and more so that the participating teams can see whether there’s an AI model that can be built to solve a particular problem Domino’s experiences. Domino’s CTO, CIO, and other AI/startup experts will judge the hackathon. The hackathon winner will earn themselves a spot in AI Forge’s upcoming cohort, which kicks off in January 2024, and an additional £10,000 ($12,657) cash prize. QSR and food delivery sector hackathon Anyone who is…
Filed under: News - @ December 1, 2023 10:10 am