Building, deploying and scaling enterprise AI applications require organizations to overcome significant hurdles, including high costs, insufficient infrastructure and skill gaps. Addressing these challenges demands innovative solutions that prioritize simplicity and user experience, according to Mandy Dhaliwal, chief marketing officer of Nutanix Inc.[Artificial intelligence] is a C-suite and boardroom priority,” Dhaliwal told theCUBE in an interview. “Fifty-nine percent of companies … believe it is going to change the way they operate fundamentally … almost half … have already got a workforce productivity plan in place for leveraging AI

As the urge to support artificial intelligence and machine learning workloads at an enterprise scale skyrockets, having an AI-ready platform is vital.Nutanix has addressed this need with its Enterprise AI solution, which simplifies the deployment of large language models by leveraging its hyperconverged infrastructure. This scalable solution meets the demanding needs of AI/ML workloads and provides the flexibility to operate in private, public and hybrid cloud environments, according to Luke Congdon (pictured), senior director of product management at Nutanix Inc.Nutanix’s Luke Congdon talks to theCUBE about how Nutanix Enterprise AI is redefining businesses in the AI age