Transforming AI/ML Concepts to Reality: Your Roadmap to Success

Logo
Presented by

John Hurlocker, Hunter Gerlach & David Williams from Red Hat

About this talk

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. Watch 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
Related topics:

More from this channel

Upcoming talks (1)
On-demand talks (120)
Subscribers (30530)
We revolutionised the operating system with Red Hat® Enterprise Linux®. Now, we have a broad portfolio, including hybrid cloud infrastructure, middleware, agile integration, cloud-native application development, and management and automation solutions. With Red Hat technologies, companies can successfully adapt as business becomes more digital and interconnected. We are Red Hat. We've been here for more than 25 years, and we're here to help you face your business challenges head-on.