Coffee Nirvana, an AI-powered solution that harnesses the power of Oracle on Google Cloud, uses Retrieval Augmented Generation (RAG), which empowers AI to tap into vast databases of information that provide real-time, context-specific results. In the world of coffee, this means a search experience that's as nuanced as your taste buds. See it in action by watching the demo below, and learn more about Google Cloud and Oracle powering AI-driven experiences → https://goo.gle/3ZubUHF
Would be interesting of Google Maps would sync to my reviews profile, understand my taste profile, compare it to similar reviews, and recommend me restaurants that are personalized rankings. This would also encourage people to leave reviews--it benefits the restauranteur as they get more reviews. It benefits you--it gives you more data. It benefits the consumer--they get personalized results, not simply what "ranks the highest." Your Maps profile should identify that I prefer Hole In The Wall restaurants priced about $10-20, understand what menu items I typically get, and how I review them, and then send me notifications for restaurants that I may like in the vicinity (based on how far I tend to travel for certain types of food, assuming my driving patterns can detect such), or when I search "mexican food near me" to understand I like authentic Tex Mex rather than a more Americanized palate. IMO Google Maps and GIS based AI recommendation systems are an incredible future I'm actually curious to see if it gets embedded in Project Astra (I look at a restaurant physically in front of me, and it says "You may like this place"). The future of GIS AI is incredible.
This is a great example of how AI and cloud technology can provide practical, real-time solutions to everyday experiences. We're excited to continue leveraging Google Cloud's innovation!
Interesting
☕ #coffeenirvana
Thanks for sharing!