AI orchestration: Solving the hidden barriers to enterprise success

AI promises transformative potential, but organizations are struggling to turn investments into meaningful business outcomes. Despite massive investments in cutting-edge technology, many organizations find themselves struggling to transform AI from an exciting concept to a tangible business advantage.

The path to AI success is more complex than simply acquiring the latest tools—it requires connecting disparate and siloed systems to create a cohesive solution that delivers value.

Click the tabs to learn about the barriers to AI success.
You’ve invested significantly in AI, but is it paying off?
  • AI spending is increasing rapidly. According to a Gartner forecast, global generative AI (GenAI) spending is expected to reach $644 billion in 2025, over 76% higher than in 2024.
  • Not all AI projects make it to production. At least 30% of GenAI projects will be abandoned after proof of concept by the end of 2025, Gartner predicted in a 2024 press release. Poor data quality, inadequate risk controls, escalating costs, or unclear business value were listed as the top reasons.
  • The real value is hidden in siloed initiatives. F5’s enterprise AI orchestration and governance unifies AI initiatives, making it easier to manage and protect AI workloads.
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Your AI models can’t securely access all of your data sources
  • Decentralized data impedes visibility and AI performance. Over 70% of organizations lack needed data quality and scalability, and only 23% have a single source of truth for data, F5 found in the State of AI Application Strategy Report.
  • Connected data sources drive AI success. The NetApp 2024 Data Complexity Report states that 79% of global technology executives identified unifying data as essential or very important for achieving their top AI outcomes.
  • Unified data sources enhance accuracy and relevancy for AI models. F5 bridges data connectivity and orchestration to eliminate siloes without complex manual integration. With secure data connectivity, your AI models provide greater accuracy and contextual relevance.
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Navigating your AI hybrid multicloud maze presents new challenges
  • Hybrid infrastructure is the norm for AI deployments. A mix of public cloud with on-premises or multicloud environments is preferred by 74% of organizations for AI initiatives, according to Google Cloud’s 2025 State of AI infrastructure.
  • AI at the edge helps reduce latency and protect data privacy. The F5 2025 State of Application Strategy Report found that 73% of organizations said deploying generative AI models at the edge is important.
  • Converged delivery and security solutions reduce complexity. The F5 Application Delivery and Security Platform simplifies AI orchestration, unifies management of AI workloads, and helps ensure consistent policy enforcement.
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AI deployments expand your threat surface across environments
  • AI infrastructure makes security management more challenging. The F5 2025 State of Application Strategy Report found that more than half of respondents reported struggling with inconsistent app security policies, noting that security is the top AI model concern.
  • Skills gaps complicate security management. Research from McKinsey found the biggest security talent gaps are in cloud and AI/machine learning.
  • Protecting AI investments requires advanced security solutions. F5 brings comprehensive AI security for hybrid multicloud environments to protect AI models, apps, and data anywhere without specialized skills.
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F5 helps you build a foundation for AI orchestration, eliminating the silos and complexity that hinder AI performance. By unifying connectivity, application delivery, and security across hybrid multicloud environments, you can realize the full potential of your AI investments.

Read our eBook to learn more.