Data AI business intelligence: Nicola Bisi and Claudio Malchiodi discuss Latitudo’s role

We are honored to have participated in this interview with the Decision Science Alliance (DSA). The DSA is a global community dedicated to supporting businesses in solving complex challenges through advanced optimization models. By integrating data, AI, and business intelligence, the DSA fosters collaboration and innovation in the field of decision science, bringing together professionals from academia and industry, technology vendors, end-users, and other organizations.

At Latitudo, we are committed to leveraging data, AI, and business intelligence to optimize industrial processes and drive transformation across various sectors. Our partnership with the DSA allows us to access advanced expertise, resources, and best practices, enhancing our ability to deliver innovative solutions that improve decision-making and operational efficiency.

Our innovative work at Latitudo is driving transformation across various sectors, including manufacturing, logistics, and supply chain management. By leveraging advanced data analytics and AI technologies, we are helping businesses to enhance their operational efficiency, reduce costs, and improve overall performance. The ability to make data-driven decisions is becoming increasingly important in today’s competitive landscape, and we are proud to be at the forefront of this technological revolution.

In the footer, you will find the PDF of the IDA, and our interview is on page 63. This document provides further insights into our approach and the impact of our solutions on the industry. We encourage you to read it to gain a deeper understanding of how data, AI, and business intelligence are shaping the future of industrial processes.

We would like to extend our gratitude to the Decision Science Alliance for this opportunity. It has been a pleasure to share our experiences and discuss the innovative solutions that Latitudo offers. We look forward to continuing our collaboration and contributing to the advancement of decision science.