The Hidden Cost of Enterprise AI: Are You Paying the AI-Readiness Tax?

When organizations evaluate AI initiatives, most focus on visible investments such as AI models, infrastructure, GPUs, and cloud resources. However, a significant portion of AI project costs often remains hidden beneath the surface.

Before AI can deliver value, organizations must identify relevant data, understand permissions, classify information, validate governance policies, and determine what content can safely be used for AI workloads. These activities create what many are now calling the AI-readiness tax: the recurring effort, delay, and risk associated with preparing enterprise data for AI.

Rather than rebuilding this foundation for every new initiative, Cohesity is helping organizations leverage existing data insights through Cohesity Gaia and the Gaia Catalog. By using metadata, data classification, permissions, and protection information already available within the Cohesity platform, organizations can accelerate AI adoption while maintaining security and governance requirements.

Key benefits include:

• Faster preparation of data for AI initiatives
• Reduced manual discovery and classification efforts
• Better visibility into enterprise data
• Improved governance and access control
• Lower operational costs for AI projects

As enterprises move from AI experimentation to production deployments, success will increasingly depend not only on AI models and infrastructure, but also on the organization's ability to efficiently discover, understand, and govern its data.

Read more from Cohesity: https://www.cohesity.com/resources/brochure/cohesity-gaia/

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