Revolutionizing Infrastructure: Where AI, Edge, and Security Meet

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Key points:

  • The rapidly evolving IT landscape, driven by artificial intelligence (AI), edge computing, and rising security threats, presents unprecedented challenges in managing compute infrastructure.
  • Cisco Intersight, an IT operations platform, provides a unified approach to managing infrastructure, supporting both traditional and AI workloads, and delivers a 192% return on investment (ROI).
  • The platform addresses five major IT management challenges: difficulty scaling, architectural specialization and AI workloads, lack of holistic visibility, inefficient use of IT resources, and security and compliance gaps.

As a reporter, I’ve been investigating the latest developments in the IT landscape, and it’s clear that the industry is facing significant challenges. The rise of artificial intelligence (AI), edge computing, and increasing security threats are all putting pressure on traditional management tools. According to a recent study by Forrester Consulting, commissioned by Cisco, IT departments are struggling to keep up with business demand, leading to inefficiencies and increased business risk.

The study identified five major IT management challenges that organizations are facing. Firstly, difficulty scaling is a major issue, with manual, repetitive processes causing lengthy IT compute infrastructure build and deployment times. This is particularly acute for organizations that need to evolve infrastructure to support traditional and AI workloads across data centers and distributed edge environments.

Secondly, architectural specialization and AI workloads are altering infrastructure requirements. Companies are designing systems to support specific AI workloads, such as data preparation, model training, and inferencing, which demand specialized compute, storage, and networking capabilities. This is driving the need for solutions that embed AI infrastructure management into existing infrastructure and operations management tools.

Thirdly, lack of holistic visibility is a significant challenge. Increasingly complex and distributed server estates create significant management challenges, with IT organizations often forced to employ multiple management systems, each with its own interface. This makes it difficult to troubleshoot issues, leading to increased outage risks, security and compliance gaps, and longer mean time to resolution (MTTR) when problems occur.

Fourthly, inefficient use of IT resources is a major issue. A lack of automation and integration in compute management causes organizations to manually perform routine tasks, such as setting up connections to servers and applying and updating policies. This leads to IT employee frustration, stalled skills acquisition, and slow progress on strategic initiatives.

Finally, security and compliance gaps are a significant concern. The complexity of modern IT environments, spanning multiple data centers, the cloud, and edge locations, plus AI’s introducing new levels of risk from sophisticated threat actors, makes it difficult to implement zero-trust security strategies for consistent policy enforcement and management.

To address these challenges, Cisco Intersight has emerged as a solution. This IT operations platform provides visibility, control, and automation capabilities for the Cisco Unified Computing System (Cisco UCS), including converged, hyperconverged, and AI-ready infrastructure solutions. By adopting Cisco Intersight, organizations can simplify IT operations, improve IT job satisfaction, and deliver significant business value. In fact, Forrester’s analysis revealed that adopting Cisco Intersight has helped organizations achieve a 192% return on investment (ROI), with benefits including improved scalability, reduced IT costs, and enhanced security and compliance.

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