Harnessing the transformative power of AI/ML for your business can be complex, but embracing it could mean gaining a competitive edge. Red Hat Consulting aims to provide practical guidance for businesses seeking to turn AI/ML concepts into successful implementations. Whether your business is just starting out with AI/ML or you are looking for solutions to operationalize your models, our experienced consultants can help you select the right technologies. We will explore strategies for identifying high-value AI/ML use cases, discuss our approach to MLOps, and give an overview of our Generative AI Retrieval Augmented Generation (RAG) solution.
Under our Red Hat Services offerings, we’re also excited to announce Red Hat Training’s all new OpenShift AI technical learning path. This path will delve into Red Hat OpenShift AI foundations, data analysis and visualization with Red Hat OpenShift AI, creating Machine Learning models with Red Hat OpenShift AI and much more. Keep a lookout for more details in the coming months.
Join this webinar and discover how Red Hat Consulting can help you achieve tangible results with AI/ML.
In this webinar, we’ll provide an overview of the following Red Hat Consulting engagements:
- MLOps Foundation
- RAG for Generative AI
- OpenShift AI
- Red Hat Training OpenShift AI courses
John Hurlocker
Principal Architect, Red Hat
John Hurlocker is a Principal Architect in the Global Services Solutions and Technology Practice. During his 20 years at Red Hat he has enabled clients on a variety of products in the Red Hat portfolio with a focus on business automation and middleware. Over the past few years, he has been engaging with clients to establish their AI/ML platforms and MLOps practices.
Hunter Gerlach
Senior Principal Architect, Red Hat
Hunter is a Senior Principal Architect within Red Hat Services, specializing in application development.
David Williams
AI Practice Manager, Red Hat
David manages Red Hat’s Artificial Intelligence Consulting Practice. His career in applying models to business systems spans AI/ML, decision management, optimization, and agent-based systems. He has served as the product manager for the leading decision management platform, a government sponsored video game, and a complexity science inspired optimization engine. He has led multinational consulting efforts in Japan, Mexico, and from within the United States. He now specializes in consulting services delivery and management, innovating with Red Hat’s Open Source AI technologies. David leads the Red Hat Communities of practice for MLOps, Artificial Intelligence, and AI Cyber Security.
