From image recognition to natural language processing, Altoros has been innovating artificial intelligence across industries since 2001. Two new solutions from Altoros, a member of the Intel® AI Builders program, push to create greater efficiency within the automotive and financial industries by focusing on optimization and process improvement.
Frequent and unexpected, car accidents can wreak havoc in our lives. The accident itself is just the beginning of a slew of issues and hassles. Car repairs, insurance claims, and dealing with health matters are just a few of the difficulties that accidents bring. In the realm of insurance processing, Altoros is looking to speed up the process of car damage analysis and repair estimation. With image recognition and deep learning methods, Altoros is able to reduce time and effort by analyzing specific car parts in relation to each other, using a solution based on Intel® Xeon® CPUs and the Intel® Optimization for TensorFlow* machine learning framework.
In the world of business, pages of complex, detailed, and important financial documents seem to flow endlessly. Traditionally, whole teams of employees are assigned to review and analyze this content, but Altoros also aims to use artificial intelligence technology to increase efficiency. Their solution discovers and extracts meaningful information from the large amount of unstructured data found in these documents, injects this information into the existing domain model, and then applies robotics process automation to increase performance and reduce the cost of doing business.
Demonstrations of these two solutions from Altoros can be experienced live at the Intel® AI DevCon, held on January 23, 2019 in Munich, Germany. You can find a full event schedule and registration details here.