Delivering AI-Ready Infrastructure at Scale: Overcoming the Challenges

In 2022, forward-thinking enterprise organizations are actively searching for ways to incorporate artificial intelligence (AI) into their business operations. While early adopters are well on their way down the AI path, it’s a fact that many are struggling with just how to operationalize AI at scale. According to ESG research, the two greatest challenges that are driving the struggle to deliver an effective AI environment are 1) the skills gap and 2) infrastructure shortcomings. More than 1 in 3 (36%) organizations admit that they have a problematic IT skills shortage when it comes to AI: factor in weak links in the infrastructure stack and aggressive timelines, and organizations are unknowingly set up for AI failure rather than AI success. In this webinar, ESG Senior Analysts Paul Nashawaty and Mike Leone are joined by VMware’s Director of Product Marketing, Rick Walsworth, to share how organizations can scale AI solutions with a flexible infrastructure, and explore essential strategies that will empower organizations to deliver effective AI environments. Join Paul and Rick to learn: - How to identify and understand the key AI use cases that matter the most to your business - How to establish an efficient data pipeline to deliver a performant and reliable infrastructure - The specific challenges and skills gaps that must be overcome to deploy high-performance GPU accelerated infrastructure at scale within enterprise IT environments - How IT teams can empower data scientists and DevOps teams to utilize AI-integrated Kubernetes container orchestration for speed, agility and simplicity - How a full-stack HCI solution such as VMware Cloud Foundation with Tanzu provides native integration with the NVIDIA AI Enterprise Suite to deliver AI-ready developer infrastructure at scale - And more