Machine Learning vs. Deep Learning What’s the Difference?
Learn the differences between Machine Learning and Deep Learning and their main applications.
Fintech innovation with Artificial Intelligence
Artificial Intelligence in Fintech: service personalization, process automation, data management, risk and investment assessment.
Predictive maintenance with artificial intelligence
Plant maintenance is even more effective thanks to artificial intelligence.
Machine Learning in everyday life
Machine Learning is used in search engines, personalized advertising, digital security and more.
Challenges of Research & Development
Addressing R&D challenges by combining Artificial Intelligence and human consciousness, promoting ecological innovation, supporting cooperation, and maintaining a global vision.
The revolutionary power of Machine Learning
Machine Learning is revolutionizing our time, offering opportunities for growth and change, but it also requires ethical and responsible data management.
Addressing environmental vulnerabilities with Artificial Intelligence
Addressing environmental vulnerabilities with Artificial Intelligence is only possible with accurate data.
Building the platforms of the future
Developing new digital solutions means creating high-performance, effective, secure and easy-to-use platforms.
Machine Learning Approach: Data-Centric vs Model-Centric
Model-centric and data-centric Machine Learning are two different approaches that can be used in Artificial Intelligence. Which one to choose?