Monitoring geographical risk to rapidly build a clear and up-to-date view of a region
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This organisation is responsible for publishing business risk reports about countries around the world containing time-sensitive information on the economic situation, terrorist threat level, business opportunities and more.
These reports, compiled using open-source data and premium news and web content, are continually updated as a source of advice to UK companies who are doing business abroad.
Human analysts have to manually sift through large amounts of information from different places, across multiple different languages, to stay up to speed with the most recent developments.
The organisation was looking for an AI-driven solution that enables the analysts to work more quickly and accurately in line with the development of real-world events, whilst mitigating the capacity for human error and bias in reporting.
Adarga's AI software provided a single software product to fuse and analyse the open-source and select premium content they required.
Data was continuously ingested in near real-time, with analysis automated using advanced AI techniques to extract entities (people, places, events organisations etc.) and build an interconnected picture of all the information.
All text was automatically translated to English as it was ingested into the product for faster and more efficient analysis.
Thanks to the outputs and power of its AI analytics product, Adarga’s intuitive user interface provided:
Report writing, near real-time event identification, abstractive summarisation of documents, timelines, geodata and an entity explorer to visualise links between information.
Information about the provenance of where each data point originated from allowed for recency weighting, crucial for the time-sensitive nature of the reports.
Immediately accelerated the data gathering processes. Increased productivity through elevating the human analyst.
Provided readily translated information for immediate and all-encompassing analysis.
Increased the accuracy of reports, reducing human error and removing the potential for human bias. Noise from common source pollution was eliminated.
Improved workflow through the single product capability.
Over 200,000 documents were automatically processed in one day from over 200 sources.