allegro.ai

In the past few years, we are witnessing a transformation in the insurance industry - AI algorithms are making great inroads in different sectors of the industry and are lowering costs while driving efficiency and improving the customer experience.

We are seeing insurers investing in AI to empower agents, brokers and employees to enhance the customer experience with automated personalized services, faster claims handling and individual risk-based underwriting processes.

As computer vision been advancing very fast, thanks to convolutional neural networks, we now have access to AI models that can perform image recognition and classification tasks with stunning accuracy.

• Insurers now use image recognition algorithms to automate many of the tasks that previously required human labor: An example of that are insurance companies that use AI to provide fast damage assessment of vehicle damage and claims settlement. Users take a picture of the damaged car with their smartphone and submit it to an AI damage estimator, which uses a machine learning algorithm trained on thousands of car accident photos to assess damage and costs. The process doesn’t take more than a few seconds.

• Computer vision is also enabling insurers to perform tasks that were previously impossible: An example is the usage of AI to analyze in-car camera feeds and detect and provide feedback on unsafe behavior such as distracted driving and texting.

If you are looking into lowering costs while driving efficiency and improving the customer experience by introducing AI for image recognition and classification tasks, to provide fast damage assessment of vehicle damage and claims settlement or any other AI computer vision tasks, allegro.ai is what you need!

Allegro Trains is an open-source software for AI experiment management, version control and ML/DL optimized DevOps simplified for Data Scientists and Data Engineers. It allows for easy experiment management, collaboration, comparison and full transparency into the development of ML/DL models. It also includes dataset versioning to enable full reproducibility.

Allegro AI’s end-to-end enterprise platform facilitates users to seamlessly manage Computer Vision and signal processing products throughout the entire lifecycle, from data management and modeling to deployment and continuous learning. All the work to create, manage the train the models, as well as deploy them in the field can be easily done using allegro AI’s platform.