TiDiT

The objective of the TiDiT Project is to create a timeline-driven digital twin by designing an architecture that enables the TiDiT platform's usage as a service and enhances decision-making for businesses. This project seeks to improve the usability and capabilities of the digital twin concept. The decision-making process has a significant impact on organizations in terms of cost, time, effort, and breakdowns.

Current digital twin (DT) technology supports organizations in making the right business decisions; however, it is deemed insufficient. The issue faced by potential users and customers is the lack of prediction capabilities based on time-driven data and artificial intelligence (AI). Additionally, existing digital twin applications in the market lack an as-a-service structure, hindering organizations from swiftly adopting this technology.

The TiDiT Project aims to address these challenges by providing organizations with a low-cost, efficient, high-quality, timeline-driven, and AI- and ML-powered DT structure delivered as a service. The goal is to enable organizations to make accurate and precise decisions. The TiDiT project is expected to create value and impact for the business, focusing on three pioneering industries: healthcare, smart manufacturing, and smart production lines.

These selected industries serve as use cases, directly contributing positively to human life. The anticipated market impact of the TiDiT Project is to decrease the number of incorrect decisions made by users/customers while empowering them through the provision of different scenarios and analyses. Consequently, business capabilities will be enhanced, and organizations will make better decisions through 'what if?' 'what now?' and 'what next?' analyses.