AI and Data Priorities for 2025
A roadmap for laying the groundwork for successful AI adoption and integration.
Laying the foundation for AI success
Maintaining a competitive edge in today's technology landscape requires leveraging advanced artificial intelligence (AI) capabilities. As organizations navigate the complexities of AI transformation, prioritizing high-impact applications such as computer vision, digital twins and generative AI (GenAI) becomes a strategic imperative.
However, to harness the full potential of AI, organizations will need to take critical steps to lay the groundwork for successful AI adoption and integration.
These steps include:
- Developing a robust data strategy
- Designing a purpose-built infrastructure for AI
- Evaluating facilities considerations for AI workloads
- Securing AI systems and implementing effective governance
- Leveraging AI-powered tools to improve developer productivity
Each section will cover why these topic areas should be prioritized, the risks of not doing so and steps for putting each item into action.
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