Explore our latest blog to learn how our Notification Team utilizes Graph Neural Network (GNN) models to craft tailored restaurant recommendations for our users' notifications. https://lnkd.in/esadjSmY
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Check out our latest blog to see how our Notification Team harnesses the power of Graph Neural Network (GNN) models to create personalized restaurant recommendations for user notifications in our latest blog.
Beyond the Click: Elevating DoorDash's Personalized Notification Experience with GNN Recommendation - DoorDash Engineering Blog
http://doordash.engineering
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Learn what a Feature Store in Machine Learning is, its significance, how it streamlines the MLOps workflow, and when it is best to use. #llms #llmops #mlops #featureengineering #datascience #machinelearning What is a Feature Store in ML and do I need one? https://lnkd.in/d5DWxUSb
What is a Feature Store in ML and do I need one?
medium.com
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Excited to share my latest project inspired by Dr. Andrew Ng's machine learning course! 🎉 After completing the course, I applied my newfound knowledge to build a content-based recommendation system using a neural network algorithm. This system is designed to recommend restaurants to customers of an app-based food delivery service. Check out my project here: https://lnkd.in/g4z-kpr6 One key takeaway from this project was the crucial importance of cleaning and organizing data before feeding it into the learning algorithm. As the saying goes in data science, "garbage in, garbage out." Ensuring high-quality data significantly improved the accuracy and reliability of the recommendations. It was incredibly fun and insightful to develop this system. It gave me a deeper understanding of how platforms like YouTube and Instagram keep us engaged with personalized content. This experience not only improved my technical skills but also highlighted the real-world applications of machine learning in enhancing user experiences. Looking forward to more projects and continuing to explore the fascinating world of data science! 🚀📊 #MachineLearning #DataScience #RecommendationSystems #NeuralNetworks #TechProjects #ContinuousLearning #AI
Portfolio Projects
salaikht9228.github.io
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LinkedIn Top AI Voice 🏆 | #AI Best Practices ✅ | #CPMAI Certified | 💡Focused on innovation in the private and public sector
🍟 McDonald's has decided to end its test run of AI-powered chatbots at drive-thrus due to persistent technical issues and customer dissatisfaction. The pilot program aimed to streamline orders and reduce wait times. However, it faced problems with accuracy and effectiveness. AI systems are probabilistic, not deterministic after all. The challenge of creating reliable AI chatbots lies in the complexity of natural language processing and accurately understanding diverse accents, slang, and contextual nuances. 🤔 Has anyone ever experienced an AI powered McDonald's drive-thru? If so, would love to hear your experiences. 🔗 https://lnkd.in/ebjDAT3r #McDonalds #AI #NLP #Chatbots
McDonald's is ending its test run of AI-powered drive-thrus with IBM
finance.yahoo.com
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Introducing Ingredienz! Our newest recipe search app that uses AI to detect the ingredients in your kitchen. Then it will show you a list of recipes based on those ingredients. Give it a try and let us know what you think. 😋🚀 #productlaunch
Ingredienze.AI - Use our AI to detect ingredients in your kitchen and find recipes
ingredienz.recipes
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🔍 Exploring Brinker International’s Digital Transformation Journey! ✨ Overview: Brinker International, a global leader in casual dining, manages over 1,600 restaurants in 29 countries, ensuring top-notch guest experiences at Chili’s Grill & Bar and Maggiano’s Little Italy restaurants. 🚀 Challenges & Solutions: Brinker navigates daily operational challenges by leveraging AI and data analytics. Through Teradata ClearScape Analytics™ in VantageCloud on AWS, Brinker utilizes AI and ML to optimize cook-time accuracy and predict order preparation time, enhancing the customer experience with timely, sizzling orders. 🌐 AI-Driven Guest Experience: Beyond hot food, Brinker collects and analyzes 25 million+ guest surveys annually, gleaning valuable insights to improve service, food quality, cleanliness, and staff training. Teradata’s AI and ML capabilities also assist in managing just-in-time inventory and ensuring restaurant cleanliness. 🌟 Outcome: With VantageCloud on AWS, Brinker effectively employs AI to address complex restaurant challenges, from inventory management to customer engagement. This cloud-based platform supports Brinker's growing data and analytics needs, enabling cost-effective, scalable solutions for improved operations and guest experiences. 📈 Business Value: Through Teradata, Brinker accelerates its AI and cloud analytics operationalization, providing a flexible, efficient platform for innovation, customer experience enrichment, and value delivery. 🔗 Dive deeper into Brinker’s success story and discover how data empowers them to deliver unforgettable dining experiences! https://lnkd.in/eb-adZgm #AI #DataAnalytics #AWS #CustomerExperience #DigitalTransformation
Brinker improves CX using AI with VantageCloud on AWS
teradata.com
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check out the toy for buildspace. the goal was to get something out. I want to show a part of the app Chefbase. Check out the link to see the toy. It is a chef bot. Now imagine different chefbots like different books or stores of knowledge with different types of information specific to that chef. I build with AI and no code tools. For this toy I used Superagent to deploy a bot rather quickly. This bot has recipe and menu data from a chef for our ai chef collaboration on 9/3. This bot is a test for what could be possible having different chefs to choose from. Try out the bot. it's trained on Kevin Tang's style, and will pump out asian fusion inspired dishes based on Chef Kevin Tang's previous menus and recipes. https://t.ly/-eoDp
Superagent
app.superagent.sh
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Sometimes it might feel overwhelming keeping yourself up to date with all new releases and developments happening in the realms of AI. Go on holidays or disconnect for a week and you will properly experience the anxiety of being outdated with all those new releases and developments happing on a weekly basis. However, I've tried to be strategic and filter all the valuable resources I consume down to a few. One of them are the short courses offered by DeepLearning.AI, which I have to thank for being the initiator of my AI, coding & Product development journey (or rather, thank you Andrew Ng for being my inspiration!) So, today I learned a bit more about Semantic Kernels in the hands of John Maeda. Such a good-vibe-style of demo. Loved it! https://lnkd.in/d2EVaDj4
DLAI - How Business Thinkers Can Start Building AI Plugins With Semantic Kernel
learn.deeplearning.ai
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Exciting advancements in AI research are paving the way for large multimodal models (LMMs), combining text, images, and more for enhanced capabilities. From assisting the visually impaired to revolutionizing industries like healthcare and e-commerce, the potential of multimodal AI is vast. With the ability to process diverse data types, LMMs offer a more human-like approach to problem-solving and decision-making. As this technology continues to evolve, the possibilities for innovation and transformation are endless. #MultimodalAI #LMMs #AI #Innovation #Technology #ArtificialIntelligence https://lnkd.in/gxUbq2tE
Cooking with Big Data
https://datafloq.com
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They say software eats the world and AI eats software, but the world can eat neither software nor AI. We always prefer eating tangible things w/ great texture & taste - like Instant Happiness Noodles. Want a Black Friday promo code? Subscribe to Noodelist newsletter from the link in the comment. 📷: Made with AI by Jere Räisänen, RJV Media #AI #midjourneyai #plantbasedfood #instantnoodles
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1moIm a doordash driver so good more job