The company is one of the largest automotive companies in Germany.
• Azure Functions • Github Actions • Python | Flask | Pytest • Microsoft LUIS (a cloud-based conversational AI service that applies • custom machine-learning intelligence to a user’s conversation)
The client aims to enhance the driving experience for customers by providing accurate and timely information about any issues and answering their questions without interruption.
Voice-Based AI System for Improved Customer Experience – Enhance Your Driving Experience with Accurate Information and Timely Responses. We developed a voice-based AI system utilizing voice recognition and natural language processing to communicate with customers in a car. The system provides information such as estimated ride time, battery/fuel level status, and destination weather forecast.
Maximize Customer Convenience with Advanced Vehicle and External Data – Our voice-based AI system provides comprehensive customer data, including vehicle information such as location and battery level, as well as external information such as weather and traffic conditions. Stay informed and make informed decisions with our powerful AI system
Industry: Medical Technology
Technologies: Azure Kubernetes service, Terraform, Azure DevOps pipeline
The client must store vast amounts of data in various formats from multiple sources in a unified data platform, accessible to machine learning engineers and data scientists within the organization for the development of machine learning applications and data analysis.
Industry: Automotive
Technologies:Java, Spring Boot, Java Persistence API(JPA), Hibernate
The client needs automation for manual procedures in handling bankrupt clients, as well as for document management and payment recommendation platforms.
Technologies: Azure Functions, Github Actions, Python | Flask | Pytest, Microsoft LUIS
We developed a voice-based AI system utilizing voice recognition and natural language processing to communicate with customers in a car.
Technologies: Gluoncv, opencv, decord and Python
A client in the medical technology industry has a requirement to protect the anonymity of individuals whose images or videos are being used.
Technologies: Grafana, Prometheus, Azure Monitor, TorchServe, Docker
The medical technology client aims to deploy their machine learning models on Azure cloud for active use by consumers.
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