Accelerate your AI journey with the AI maturity self-assessment tool

AI holds the potential to transform businesses in ways many have only begun to imagine. The promise of AI lies in its ability to drive innovation, improve products, and provide richer customer experiences. According to a recent Deloitte survey, 58% of respondents believe AI will provide a competitive edge through these advancements.

Where does your organization stand in the race to realize business value from your data? IDC found that only 21% of businesses feel they are close to scaling AI across their enterprise. Many organizations struggle to move past experimentation to operationalize AI solutions that are performant and cost efficient in a production environment while providing essential data governance and security.

If this sounds familiar, you don’t have to navigate the AI landscape alone. NetApp^® partnered with IDC to develop the AI maturity model self-assessment tool and related white paper to help you benchmark your AI capabilities and take steps that will move you closer to achieving the potential of AI for your business.

The AI maturity model tool is built on extensive end user survey data from enterprise data science, data engineering, application development and IT leaders as well as practical insights from NetApp and IDC. It offers a credible framework for assessing AI readiness and identifying the right next steps for continued progress and improvement in AI business outcomes.

We’ve found the key to higher and faster rate of AI success isn’t a single factor, but rather a network of interlocking people, process, and technology best practices working together to optimize the organization and its data for AI.

Understanding what stage your organization falls into relative to your peers—as well as specific strengths and weaknesses characterized by each stage —will help you move your AI practice forward. The AI maturity model asks core questions about your organization and how AI is being used, and then classifies organizations into one of four levels:

1. AI Emergent: These organizations are just starting to explore AI fundamentals like infrastructure and data readiness. Their data architectures vary widely, with storage improvements not yet aligned to AI needs.
2. AI Pioneer: These companies are beginning to execute AI processes and plan for unified data architecture, while focusing on foundational work like data movement, security, recovery, and centralized control.
3. AI Leader: Businesses at this level are advancing AI processes with a clear unified data architecture vision, making strides in data governance, traceability, and securely managing sensitive data for AI initiatives.
4. AI Master: These businesses have robust AI processes, a cohesive data architecture, and storage infrastructure optimized for seamless data movement, migration, and access across private and public cloud environments.

There’s a lot of noise surrounding AI. For business leaders, these conversations are often too broad to be truly helpful. The goal of the AI maturity self-assessment is to help personalize the conversation and provide tailored, custom insights that drive meaningful action along your AI journey. Recommendations are based on your inputs and benchmarked against the characteristics exhibited by the most mature and successful AI practitioners.

Beyond that, why should you dedicate time to taking the self-assessment and reading the report today?

It only requires 5 minutes of your time. And after you answer the questions, you’ll receive a tailored report that outlines key takeaways and actionable next steps that are specific to your needs today. It touches on existing strengths, highlights potential areas for improvements, and gives you a roadmap of recommendations to advance along the AI maturity scale.

Effective AI strategies require a complete approach, and the tool will quickly assess factors like your data infrastructure, in-house technical expertise, how effectively you’re deploying AI models and tools, and the alignment between organizational priorities and AI investments.

If you’re ready to examine your AI maturity in detail, dedicate five minutes and start today. It’s free, fast, and personalized. Whether you’re just starting to explore AI capabilities or want to optimize advanced applications, the AI maturity model self-assessment tool offers the clarity and direction you need.

Take the first steps toward becoming an AI master by completing the AI maturity self-assessment today.