Why open source artificial intelligence platforms help enterprise business transformation

Jump to section

As advancements in artificial intelligence and machine learning (AI/ML) rise, business leaders are now embracing open source culture and technologies. There are several reasons for this, including collaboration across organizations, accelerated innovation, and social responsibility. A software-maker culture inspires established companies to experiment with AI and create platforms that align with their business needs.

While AI/ML initiatives can deliver significant benefits, they are not without challenges and risks. Among the challenges are cost, lack of tools for machine learning operations, and lack of responsible AI tools. Downloading open source software may introduce the risk of lack of governance and security or lead to shadow IT and drive associated risks. When embraced appropriately with the right security and management layers, AI/ML can deliver effective business capabilities, including flexibility, agility, portability, and overall time to value.

In this webinar, Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence Research Practice, describes AI/ML adoption trends and challenges, how open source MLOps platforms may help, synergies with a hybrid cloud approach, and best practices and recommendations. Ritu will also briefly describe a couple of customer scenarios resulting from interviews that  IDC conducted with multiple Red Hat® customers who have been successfully using Red Hat OpenShift® AI for accelerating the AI/ML life cycle.

In this webinar, we’ll discuss:

  • AI/ML adoption trends and challenges
  • An introduction to machine learning operations (MLOps)
  • How open source MLOps platforms help
  • Synergies between hybrid cloud and AI initiatives
  • Customer scenarios
  • Red Hat OpenShift AI and how it might be considered for a hybrid MLOps platform

Live event date: Tuesday, December 12, 2023 | 2 p.m. ET

On-demand event: Available for one year afterward.

Ritu Jyoti

Ritu Jyoti

Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice, Global AI Research Lead, IDC

Ritu Jyoti is Group Vice President, Worldwide Artificial Intelligence (AI) and Automation Research with IDC's software market research and advisory practice. Ms. Jyoti is responsible for leading the development of IDC's thought leadership for AI research and management of the Worldwide AI and Automation Software research team. Her research focuses on the state of enterprise AI efforts and global market trends for the rapidly evolving AI and ML including Generative AI (Gen AI) innovations and ecosystem. Ms. Jyoti also leads insightful research that addresses the needs of the AI technology vendors and provides actionable guidance to them on how to articulate their value proposition, differentiate and thrive in the digital era.

Will McGrath

Will McGrath

Senior Principal Marketing Manager, AI Business Unit, Red Hat

Will McGrath is a product marketing manager for Red Hat’s AI business group where he directs marketing initiatives for Red Hat AI/ML product and services offerings, including Red Hat OpenShift AI. Prior to Red Hat, Will worked at Quantum and HP for 12 years as Strategic Alliances Manager for media and entertainment technology partners. Will has more than 30 years of experience in the IT industry.