Deep Learning in Dentistry – Chances, Challenges, Lesson Learnt
Based on a perspective on the specifics of deep learning and its suitability in the dental field, the speaker will present a translational exercise in “AI for health applications”, using the example of an AI-based assistance system for dental radiographs, the dentalXr.ai Ltd. The session […]
MLOPs Part 4 – Building Real World Applications
Building Real World AI applications is not a joke, especially when you have to serve your customers reliably and consistently. In this 4-part mini-series, Tarry will guide you through designing, developing, testing and finally deploying AI applications. Along with the LiveAI team the best practices, tools and techniques are shared, to help you gain confidence in building and deploying AI applications in production.
MLOPs Part 5 – Designing Effective AI Pipelines
Building Real World AI applications is not a joke, especially when you have to serve your customers reliably and consistently. In this 4-part mini-series, Tarry will guide you through designing, developing, testing and finally deploying AI applications. Along with the LiveAI team the best practices, tools and techniques are shared, to help you gain confidence in building and deploying AI applications in production.
MLOPs Part 6 – Continuous Iteration (Train, Evaluate, Debug)
Building Real World AI applications is not a joke, especially when you have to serve your customers reliably and consistently. In this 4-part mini-series, Tarry will guide you through designing, developing, testing and finally deploying AI applications. Along with the LiveAI team the best practices, tools and techniques are shared, to help you gain confidence in building and deploying AI applications in production.