The Enterprise Guide to AI‑Ready Infrastructure
The rise of data-driven operations and AI workloads is leading enterprises to rethink their plans to modernize infrastructure. Under pressure to secure data and make it more portable, they are increasingly adopting containers to run AI-enabled applications.
Containers are gaining traction in no small part because of the widespread embrace of AI-enabled applications. Organizations need to modernize their infrastructure to ensure application and workload agility, portability, sovereignty, and cost control. But when business departments operate in isolation and implement AI initiatives on their own without consulting IT, it makes IT's job harder and can lead to inefficiencies and project delays. These silos also create an opportunity for shadow AI to develop.
The unauthorized use of AI tools can expose sensitive company information and valuable intellectual property to outside parties, with potential legal consequences for not complying with regulations.
This report explores the many challenges that IT executives face as they navigate the rapid escalation of AI.
Containers are gaining traction in no small part because of the widespread embrace of AI-enabled applications. Organizations need to modernize their infrastructure to ensure application and workload agility, portability, sovereignty, and cost control. But when business departments operate in isolation and implement AI initiatives on their own without consulting IT, it makes IT's job harder and can lead to inefficiencies and project delays. These silos also create an opportunity for shadow AI to develop.
The unauthorized use of AI tools can expose sensitive company information and valuable intellectual property to outside parties, with potential legal consequences for not complying with regulations.
This report explores the many challenges that IT executives face as they navigate the rapid escalation of AI.
Leverantör: Nutanix Singapore Pte. Ltd. | Språk: Engelska