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Risk Intelligence A/S successfully completes the first and second phase of its data and AI strategy, effectively enabling AI and Machine Learning

The project was initiated in May 2019 ( The first phase focused on implementing an Enterprise Content Management (ECM) solution for all data not directly related to core intelligence and product production. This ensured that data within these areas is structured and searchable across the Risk Intelligence System, the Company CRM (SalesForce), the ERP (Microsoft Business Dynamics), and in connected solutions dedicated to management and investor relations. This company-wide ECM solution was rolled out in March of this year and is now fully functioning, saving both time and increasing quality in daily work routines.

The completion of the second phase of Risk Intelligence's data and AI strategy, integrated machine learning and AI to the existing "Intelligence Cycle", particularly the collection, verification, and automatic collection of associated data. This has already had a significant impact. With the new machine learning and AI solution, Risk Intelligence analysts working on the LandRisk module of the Risk Intelligence System have demonstrated time-savings of more than 1,300 working hours per year. This improvement will significantly increase scalability, decrease costs, and enhance product quality when employed on all data sources and across all three Risk Intelligence System modules (MaRisk, PortRisk and LandRisk).

Risk Intelligence CEO, Hans Tino Hansen, says:
"These two projects have already had a significant, positive impact on our work. The machine learning and AI project effectively combines an increase in collection speed, whilst improving the quality of collected data. This further increases the scalability of our business without sacrificing the critical high quality of our products. The cooperation with Devoteam has been excellent and we have reached the first milestones together. I am very excited about the possibilities this implementation brings and look forward to entering the next phase of our data and AI strategy".

With the completion of these two phases of the data and AI strategy, Risk Intelligence has delivered on its promise of May 2019 to fundamentally improve the use of data in the Company , accelerate the pace of operations and reduce production costs.

The strategy's third phase will complete the implementation of data analysis across data sources, further refining the automated indexing of large volumes of external data. This will allow AI and machine learning to take effect on all Risk Intelligence's unique data sets. This will enrich Risk Intelligence's incident reporting across all three security intelligence modules. It will also significantly speed up the ongoing development and global coverage of the land-based module, LandRisk, which launched in October last year.

For more information on services and the System:
Please watch our corporate video: Knowing Risk (

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