In our previous webinar, “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets“, we not only addressed current practices but also cast a vision for the future of data management, particularly in the realm of built asset digital twins. This future is shaped by our ongoing commitment to innovation and adopting forward-thinking strategies in data handling and utilization.
Developing human and machine-readable standards
One of the key focus areas for the future is the development and implementation of both human and machine-readable standards. This dual approach ensures that data is accessible and interpretable by human operators and automated systems, facilitating smoother integration, analysis, and decision-making processes.
Automated reasoning and compliance checking
Another cornerstone of our development strategy is the emphasis on automated reasoning for maintaining data integrity and compliance. This involves using explainable AI algorithms to automatically assess and ensure that data adheres to the required standards and protocols. This automation not only streamlines the process but also reduces the likelihood of human error, ensuring a higher level of precision and reliability in data management.
Multi-dimensional traceability for Digital Threads
We envision a future where multi-dimensional traceability forms the backbone of digital thread management. This involves tracking and documenting every aspect of the data’s lifecycle, providing a comprehensive view of its evolution, usage, and impact. Such traceability is key to creating a model-based life-cycle assessment, allowing for the dynamic and responsive management of assets.
Integration with emerging technologies
As technology evolves, so will our approach to data management. We anticipate integrating emerging technologies such as advanced AI for data security and transparency, and IoT for real-time data collection and analysis. These technologies will enable us to handle larger volumes of data more efficiently, extract more nuanced insights, and offer more proactive and predictive management solutions.
Collaboration and standardization efforts
Looking ahead, Eurostep will continue to collaborate with industry partners and standardization bodies. This collaborative approach is vital to developing universally accepted standards and practices, ensuring interoperability and compatibility across different systems and platforms.
In conclusion, the future of data management from our perspective is marked by a blend of innovation, automation, and collaboration. By staying at the forefront of technological advancements and industry standards, we aim to continue leading the way in transforming scattered data into strategic assets, enhancing our client’s operational efficiency, and driving forward the digital transformation journey.
