Learning meets Telecommunications
Artificial intelligence can deliver innovation that was previously hard to achieve
Cutting-edge technology for understanding unstructured communications data.
In a competitive telecommunications market, digitally advanced services and architectures will be the determinant of future success.
In a rapidly changing environment for the telecoms industry, operators are looking for new ways to increase revenues and reduce operational expenditure.
Artificial intelligence and machine learning are now considered as a core component of digital transformation.
Transformation however starts with data. And many operators are presiding over large quantities of unstructured data that remains unusable, hiding insight and preventing innovation.
re:infer’s Deep Learning platform unlocks the information in unstructured communications data.
In a customer experience context, re:infer unearths value in every conversation. From customer calls and emails, to chat support and online forums, every customer touchpoint is understood, analysed and actioned at scale.
In operations, re:infer provides visibility into thousands of grey and manual processes that run between the shared service centre and the business.
Tight integrations with enterprise automation tools like Robotic Process Automation allow re:infer to provide the gap between requests expressed in natural language and actions in downstream systems.
re:infer creates opportunities for growth
Every conversation counts
"re:infer's deep learning platform allows us to unpick customer intents and unlock understanding in unstructured processes across the business."
Director - Cognitive Automation & Innovation ISG