Ladiuva Consultora

What if your restaurant could predict not only what your guest liked last time, but also what they’re most likely to enjoy next?

Exploramos Kurcuma, el mayor dataset de utensilios de cocina, diseñado para entrenar modelos de visión por computadora capaces de adaptarse a nuevos entornos sin datos etiquetados. Hablamos de cómo está innovación impulsa la robótica asistencial, la automatización en cocinas profesionales y el futuro de la hospitalidad inteligente.

En la era del big data, la cantidad de información que generamos diariamente es asombrosa; superando los 2.5 quintillones de bites. ¿Qué sucede con los datos inútiles que, sin que lo sepamos, afecta cada vez más a los sistemas de información y amenaza nuestros objetivos de sostenibilidad?

Imagine a dinning experience where your health needs, allergies, and preferences are seamlessly integrated into the menu, all thanks to artificial intelligence.

What if restaurant managers could predict next week sales with remarkable precision and automate scheduling, inventory, and staff accordingly?

Can food delivery apps do more than deliver? We uncover how AI powered plataforms like uber eats and food panda are not just reshaping logistics, but redefining restaurants serve.

What if you could predict exactly how guests feel about your hotel just by reading their words?

What if the secret to restaurant survival isn’t just what customers say, but how differently they say it? We undercover groundbreaking research that shows how the variance in online reviews- not just average rating - can accurately predict which restaurants thrive to fail.

We explore how artificial intelligence is revolutionizing the way we intercept customer sentiment in hospitality and tourism.

What if your kitchen could tell you when to empty the bin and save money doing it? We explore the FIKWaste project, a pioneering dataset tracking real time waste generation in restaurant kitchens.

What makes Puebla a must-visit destination for food lovers? In this episode, we unpack the findings of a recent study profiling over 400 culinary tourists. From millennials craving for immersive experiences to the overlooked potential of cooking classes and producer visits, we dive into what’s working and what’s missing in Puebla gastronomic offer.

We explore a groundbreaking study that applied machine learning to over 52K yelp reviews of halal restaurants. Discover how sentiment analysis uncovered that 75% of reviews were positive and why logistic regression outperformed other models in predicting customer emotions.

What if your restaurant table could take orders without a touchscreen or even a waiter? We explore a breakthrough system that uses projection mapping and machine learning to turn any surface into interactive menu.

Is food quality enough to win over diners? In this episode, we dive into a ground breaking machine learning study that analyzed over 600K yelp reviews to uncover the 14 real factors that shape customer value in restaurants.

We explore the cutting-edge intersection of artificial intelligence and the food industry, from smart farming and robotic harvesters to AI powered flavor prediction and food safety systems. We break down how data driven innovation is reshaping agriculture, processing, delivery, and customer experience.

We explore how the fusion of deep learning and metaheuristics is transforming the Internet of Things, from smart cities to precision agriculture. Learn how optimization algorithms are turnocharging AI models to deliver faster, more accurate decisions across industries.

What happens when a food company trades dinning rooms for dashboards? We dive into the tech powered world of Rebel Foods the global pioneer of cloud kitchens. Discover how AI, IoT, and automation are redefining restaurant operations, slashing waste, personalizing menus, and scaling food brands at lightning speed.

What if your next five-star meal could be predicted by an algorithm? In this episode, we explore a groundbreaking study that analyzed over 200,000 restaurant records from Zomato using machine learning. Discover how random forest models achieved 97% accuracy in predicting top-rated dining experiences and what this means for restaurant owners, food enthusiasts, and data scientists alike. From pricin...

Why are your food delivery customers unhappy and what can you really do about it? We dive into deep learning and explainable AI (XAI) are revolutionizing sentiment analysis in the hospitality and food service industries.

We explore how synthetic datasets are transforming the way AI learns to recognize kitchen objects without the bottleneck of manual labeling. Discover how Mask R-CNN and realistic image generation enable faster, scalable training for computer vision in professional kitchens. From culinary schools to smart restaurants, this innovation opens the door to real-time food tech applications with minimal r...

Controlling food portions and verifying service contracts is a major challenge in large dining halls. Manual tracking is slow, inconsistent, and prone to error. This is an AI solution for the case.

Discover how computer vision is transforming culinary schools by automating uniform inspections, boosting hygiene, reducing admin time, and preparing future chefs for a tech-powered kitchen. Curious how AI fits into education gastronomy?

Why do so many restaurants fail-even when their food is great? A recent study in Spain shows that 60% of restaurants close within their first year. The reason? Poor strategic planning and lack of AI integration.

A recent study with one of the largest chains in the US revealed that deep learning models (such as NHITSand DeepAR) outperformed traditional prediction methods based on past salesby up to 94%

Tendencias e innovaciones en la economía del vino: Sostenibilidad, tecnología y más.