AI is moving fast, but success depends on planning, data readiness, and practical execution. The guide highlights that AI is expected to reach a market volume of $826.7 billion by 2030, while 86% of IT leaders expect GenAI to soon play an essential role in their organizations. Instead of chasing overly ambitious AI projects, the whitepaper encourages businesses to start with small, testable, human-reviewable use cases that can create quick wins and build momentum.
What’s Inside
- Select the Right Use Cases: Start with AI use cases that are small, testable, measurable, and realistic to deliver.
- Get Your Data in Order: Prepare consistent, accurate, accessible, and secure data before scaling AI initiatives.
- Identify and Close the Skills Gap: Assess whether IT teams, data teams, and business stakeholders have the right AI capabilities.
- Align IT and Business Teams: Build shared priorities, stakeholder buy-in, clear roles, and common AI language.
- Set Up Your AI Journey: Treat AI as a cycle of ideas, experiments, learnings, failures, and continuous improvement.
- Fan the Spark: Move from inspiration to action by experimenting early and turning ideas into business outcomes.
- Build with Mendix: How Mendix supports AI development through GenAI integrations, Maia AI Assistance, governance, and end-to-end platform support.
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