Advanced Analytics
The Turing test, which was designed to determine if a machine could think and so be called "intelligent," inspired the notion of AI, Machine Learning, and Deep Learning approaches, which first appeared in publications and research in the 1950s. AI and Advanced Analytics apps have a significant influence by allowing users to discover hidden patterns, provide tailored services, learn from data and make predictions, and effectively reduce complicated scenarios to simple outcomes, resulting in exceptional value. Applications of Artificial Intelligence and Advanced Analytics, AI and Advanced Analytics may be used to manage both the transition (Digital Transformation) and the "true goal" of having data drive the organisation without regard for processes.
By supporting innovation, automation, cost reduction, and intelligent decision making, it is becoming a significant competitive advantage for enterprises.
Just a few of our application areas are shown below. We have the following:- Developed a biometric (facial) recognition system for financial applications
- The leading Italian power distributors developed predicted models of network loads for energy balance.
- On talks with a Customer Care desk, we employed Natural Language Processing (NLP) and semantic analysis to improve the quality of the assistance offered in real time.
- Predictive maintenance of industrial production plants was made possible, allowing for the early detection of fault situations and the optimization of maintenance interventions.