Linedata (Euronext Paris: LIN) (Paris:LIN), a global provider of asset management and credit technology, data and services, today announced it has developed two artificial intelligence modules aimed at supporting clients in their decision-making and enhancing productivity in the follow-up of client cases. The new Digital Assistant and Sales Advisor modules, already used by Linedata’s clients from London to Toronto, are now available for the Linedata Ekip360 solution and can also be deployed on further Lending & Leasing solutions.
Khalid Dbich, Deputy CEO of SOFAC, a Moroccan company specializing in credit solutions, said: “Contrary to common belief, the financing offer with the best chance of success is not necessarily the one with the lowest monthly payment. It was important for us, at SOFAC, to master all the upstream information in order to provide the best advice, suggest the most suitable financing offers and, ultimately, remain competitive. Linedata’s Sales Advisor prescriptive analytics module provided a real answer to our needs. We immediately looked forward to participating in this promising project, which focuses on the concrete and tangible contributions of artificial intelligence to resolving business issues.”
Digital Assistant, an AI-powered assistant to benefit from peer expertise
The artificial intelligence that makes up Linedata’s Digital Assistant suggests actions to a case manager, based on the choices previously made by other users on the same type of case. The assistant thus generates the equivalent of a business workflow without requiring any complex configuration.
Linedata’s Digital Assistant is particularly useful as:
- It avoids navigating across a number of submenus in order to select the appropriate option.
- It simplifies the takeover of an ongoing case by an employee who is not very familiar with it by immediately indicating its current status and the next actions to be taken.
- It acts as a virtual mentor to pass the essential know-how of more experienced colleagues to newcomers, who benefit from reliable suggestions for tasks to be performed.
Digital Assistant is based on a LSTM (Long Short Term Memory) recurrent neural network that takes into account the current screen and the sequence of actions that led to it in order to make the prediction. Digital Assistant exploits all the traceability data provided by the solution, makes them more reliable and enriches them with new concepts relating to accounting or financial processing.
