Accelerate your AI/ML Strategy with Red Hat Services - Seguridad Mania.com - España y América Latina

Organizations are looking to embed AI intelligence into their applications. But the increasing complexity of integrating AI/ML solutions with existing infrastructure, deployment delays, and difficulty scaling AI/ML projects causes many efforts to fail before making it into production. Learn more from Red Hat experts about Red Hat® OpenShift® AI, a flexible, scalable MLOps platform with tools to build, deploy, and manage AI-enabled applications. Built using open source technologies, it provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps. Dive into best practices and use cases to help launch your AI/ML projects faster and achieve business objectives. -Overview of the Importance of Data Science Platforms in Enterprises -Roadblocks that stop organizations from operationalizing AI models faster -Introduction to Red Hat OpenShift AI -Key capabilities of Red Hat OpenShift AI and Red Hat OpenShift -Leveraging Red Hat Services for Successful Implementation -Bridge the skills gap to help your organization adopt AI/ML faster Speaker: Sreejith Anujan, Learning and Development Instructor, Principal Instructor, Red Hat Sreejith Anujan is a cloud technology professional with more than 14 years of experience in on-premise and public cloud providers. He enjoys working with customers on their enablement plans to upskill the technical team on container and automation tooling. In his current role as a Lead Technical Instructor within Red Hat, Sreejith designs and delivers custom, tailored technology training and workshops to strategic customers across Asia Pacific (APAC), Australia, and New Zealand (ANZ).