Using machine learning to automate car damage assessment and document workflows
Vladimir Starostenkov and Siarhei Sukhadolski discuss two ML solutions from Altoros: one was developed to facilitate the process of assessing car damage right at the accident scene, while the second helps to automate recognition, extraction, and analysis. Join in to see how to integrate both solutions into the existing workflows of insurance, car rental, and maintenance services.
| Talk Title | Using machine learning to automate car damage assessment and document workflows |
| Speakers | Vladimir Starostenkov (Altoros), Siarhei Sukhadolski (Altoros Development) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | New York, New York |
| Date | April 16-18, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Vladimir Starostenkov and Siarhei Sukhadolski discuss two ML solutions from Altoros: one was developed to facilitate the process of assessing car damage right at the accident scene, while the second helps to automate recognition, extraction, and analysis. The two solutions were developed using Intel Xeon Scalable processors (Skylake) on the Google Cloud Platform coupled with the Intel Distribution of OpenVINO. Join in to see how to integrate both solutions into the existing workflows of insurance, car rental and maintenance services, finance, publishing, and other industries.
