As AI automation (aka, “intelligent automation,” or IA) in financial services quickly becomes mainstream, it attracts increased stakeholder interest as firms explore the possibility of unlocking value via increased efficiency, cost reduction, and enhanced predictive capabilities.
This article is sponsored by SambaNova, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
This article was originally written as part of a PDF report sponsored by Daitan, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
The financial services industry is buried in paperwork, and the NLP use-cases in banking and insurance grow every year.
Our AI Opportunity Landscape research clearly demonstrates how chatbots are relatively over-hyped in the marketplace, and most buyers drastically overestimate their effectiveness as a result. Some of our press releases about the bloviated claims about chatbot deployments have ruffled the feathers of conversational interface vendors.
