The role of AI in data strategy

The role of AI in data strategy

In our “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets” webinar, we highlighted the critical role of Artificial Intelligence (AI) in our data strategy, emphasizing its integration for enhancing the management and utilization of data, especially in the context of built asset digital twins.

Focusing on Explainable and Actionable AI: Eurostep prioritizes the use of explainable and actionable AI over statistical models. This approach is rooted in our belief that AI should not only provide advanced analytical capabilities but also be understandable, applicable, and provide repeatable results in real-world scenarios. We emphasise AI systems that offer clear insights and rational explanations behind their outputs, enabling users to make informed decisions based on AI-generated recommendations.

Knowledge Engineering, Expert Systems, and Rule-Based AI

Our AI strategy primarily revolves around three key areas:

1. Knowledge Engineering: This involves creating AI systems that understand and interpret complex data structures and relationships. By encoding expert knowledge and rules into the system, we create AI that can simulate expert human decision-making processes.

2. Expert Systems: These are AI systems that replicate the decision-making ability of a human expert. We at Eurostep leverage expert systems to provide clients with precise, expert-level analysis and recommendations based on their data.

3. Rule-Based AI: We utilize rule-based AI systems that follow a series of predefined rules to make decisions or solve problems. This method ensures that the AI’s decision-making process is transparent, consistent, and easily auditable.

AI helps us process and analyse data more efficiently, providing a deeper understanding that drives strategic decision-making.

Towards a Future of Intelligent Data Solutions: Eurostep’s approach to AI in data strategy is geared towards creating intelligent solutions that provide actionable insights and recommendations. We strive to make AI an integral part of our data management services, ensuring that our clients can leverage the full potential of their data strategically and efficiently.

The role of AI in Eurostep’s data strategy is pivotal in transforming data management processes. We are committed to developing and utilizing AI solutions that are both technologically advanced and practical, explainable, and highly effective in real-world applications. This commitment positions us at the forefront of the digital transformation journey, driving innovation and excellence in data intelligence.

Learn more

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In our “Leveraging AI* for built asset Digital Twins - Turning scattered data into strategic assets” webinar, we highlighted the critical role of Artificial Intelligence (AI) in our data strategy, ...
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