International due diligence involves exhaustive research. More than 40,000 global sources track not only media but also corporate records, financial transactions and legal cases. Results based on analysts’ text strings must be painstakingly reviewed for each entity before a report can be finalized. The process is laborious; it can take weeks.
Cognizant Digital Business is helping a leading global professional services firm improve the functionality of its risk management due diligence software. This will enable the company and its clients to faster and more accurately research businesses for ties to potentially illegal behavior, including money laundering, insider trading, corruption and terrorism.
We developed an application programming interface (API) to connect the client’s software to a machine-learning model using IBM’s Watson Explorer 11 and Watson Content Analytics. In less than five weeks, we developed cognitive APIs powered by deep-learning algorithms and governed by predefined rules using semantic language processing. Conventional search technology relies on Boolean word strings and returns results ordered by the appearance of individual words that meet search criteria irrespective of their context. Searches on our newly developed platform narrow results by indexing them against discrete parameters, including a custom dictionary of keywords for specific industry sectors.
In a global environment where risk and regulation are only increasing, having tools to screen partners, vendors, counterparties and acquisition targets for potentially criminal activity is vitally important. Our Artificial intelligence solution provides our client’s global IT leader the means to automate risk detection across the broad range of the firm’s business relationships, improving its ability to comply with a complex array of international laws and compliance regimes.
increase in due diligence reports generated per year
reports completed in one hour, saving time
compliance and financial risks in real time
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