by neuryupa_wordpress_enaia | Jul 28, 2022 | Artificial Intelligence, Case Studies, ENAIA AI, Industry 4.0, Machine Learning AI, Process Automation, Use Case
ENAIA, the Multimodal MLOps platform TYPES OF PROBLEMS AND OUR CUSTOMERS’ NEEDS Companies in many sectors perform daily tasks that do not contribute any value but nevertheless represent a large investment in time and consequently in costs. Organizations are...
by neuryupa_wordpress_enaia | Jul 19, 2022 | Artificial Intelligence, ENAIA AI, Industry 4.0, Machine Learning AI, Process Automation, Use Case
ai applied to PREDICTIVE MAINTENANCE Use Case: Prediction of mechanical failures in industrial machinery CHALLENGE: The objective is to predict future mechanical failures of industrial equipment before they occur to avoid unexpected production stoppages and...
by neuryupa_wordpress_enaia | Jul 1, 2022 | Artificial Intelligence, ENAIA AI, Industry 4.0, Machine Learning AI, Process Automation, Use Case
AI APPLIED TO MARKETING Use Case: GENERATION OF SOCIAL LISTENING REPORTS BASED ON TEXTS PUBLISHED ON SOCIAL NETWORKS. CHALLENGE: The challenge is to extract information from social media followers that is useful for brand reputation management. · Data type:...
by neuryupa_wordpress_enaia | Jul 1, 2022 | Artificial Intelligence, ENAIA AI, Industry 4.0, Machine Learning AI, Process Automation, Use Case
MULTIMODAL AI APPLIED TO FIRE SAFETY AND PREVENTION Use Case: DRONE-INTEGRATED AI FOR FIRE RISK CLASSIFICATION CHALLENGE: The solution aims to combine human sensory information, obtained on the ground, with meteorological databases to prevent fires, detect them...
by neuryupa_wordpress_enaia | Jun 24, 2022 | Artificial Intelligence, ENAIA AI, Industry 4.0, Machine Learning AI, Process Automation, Use Case
multimodal ai applied to INSURANCE COMPANIES Use Case: CLAIMS CLASSIFICATION FOR AN INSURANCE COMPANY CHALLENGE: The solution automatically assigns a class to the claim. Each class is managed according to a specific set of rules. Automation brings speed, better...
