2025-03-01 –, Workshops (School of Design)
Explore how a fictional insurance company uses OpenShift AI to improve its claims processing. In this immersive experience, you will have the opportunity to deploy and work with different AI models while utilizing various features of OpenShift AI.
Key highlights of this workshop includes:
1. Exposure to Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
2. Image detection models to analyze and process claims data.
3. Hands-on deployment of an application that integrates these AI technologies for a cohesive business solution.
This workshop provides a glimpse into how AI/ML technologies can be applied to real-world business problems like insurance claim processing. Please note, while the models and techniques used in this lab are illustrative of a prototype, they are not designed for a production environment.
Intermediate - attendees should be familiar with the subject
Associate Software Engineer Red Hat | Maintainer, @AsyncAPI'24 Mentee
Ritesh Shah is a Senior Principal Architect with Red Hat and focuses on creating and using next-generation platforms, including AI/ML workloads as well as application modernisation and deployment. Ritesh is an advocate for open source technologies and products, focusing on modern platform architecture and design for critical business needs. He is passionate about next-generation platforms and how application teams, including data scientists, can use open source technologies to their advantage.
Machine Learning Engineer working on Computer Vision Problems, interested to work on LLMs/Transformers/Multimodal
As a Senior Architect at Red Hat, I specialize in Ansible Automation Platform and OpenShift. I have enabled partners, created impactful demos for the Sales team, and contributed to Secure Supply Chain initiatives. I actively work on Event-Driven Ansible, Ansible Lightspeed, and other cutting-edge automation technologies, driving innovation in IT automation.