Companies across a variety of industries are increasing investments in artificial intelligence and machine learning (AI/ML) to provide better service, gain competitive advantage, increase revenue, and reduce cost. While AI/ML offers these promises, there are also significant challenges to execution. Legacy IT infrastructure and technical debt can often require significant investments in order to enable new workloads. In addition, there are architectural, cultural, and process considerations associated with creating an agile AI/ML environment. Proprietary solutions are complex and inflexible, making it increasingly difficult to perform life-cycle operations at scale on AI/ML applications.
With the help of Red Hat® Consulting, Red Hat Open Innovation Labs, and the Red Hat Services Container Adoption Journey, customers can jump-start their AI/ML projects by using the best open source tools. Red Hat subject matter experts partner with customers to create a pilot platform for AI/ML use cases and build an AI-powered application prototype. Bringing data scientists, application developers, and operations teams together, Red Hat consultants enable customers to experience DevOps for machine learning and optimize their AI/ML deployments.
By adopting Red Hat Services Solution: Open AI/ML Platform, customers can build an open-standards, multicloud platform that delivers scale, speed, and flexibility. With new approaches to accelerate collaboration and communities, customers can adapt to ever-changing business needs and spark innovation and agility.