How many times have you been asked to spell your name while also sending paperwork that already contains all your personal data? Manual data processing invites human error and wastes time. Automating image, text and speech recognition delivers a better experience and improves how customers interact with your services.
Using artificial intelligence and machine learning, systems now detect and convert data in milliseconds - tasks that usually take minutes or even hours.
Detect objects or purpose with image recognition
Image recognition identifies objects - or even the purpose of specific areas within an image. It may sound like science fiction reserved for large corporations, but AI is now accessible to any business looking to automate manual tasks, from identifying safety incidents, to counting objects and distances, to detecting trigger points in a manufacturing process.
We tested it on a sample driving licence. At first glance it just contains the driver's information - but analysed with AI, it can detect the face and the feeling it denotes, identify the Union Flag and EU flag, find personal information and mark it accordingly, and screen for adult or violent content.
Text recognition - get rid of paper clutter
Storing paperwork and finding information across hundreds of pages is never easy. Scanned files - even photos of documents sent by customers - can be digitised automatically, and pattern matching extracts the information to feed other systems: email notifications, invoice validation, payments, scheduling.
If your business relies on paperwork, this saves hundreds of processing hours and eliminates human error - not to mention finding any record by name instead of digging through physical folders.
Speech recognition - identify mood and conversation purpose
Speech recognition is now familiar thanks to Siri and Alexa, but it goes further than voice commands. Machine learning can identify a speaker's mood or produce a text transcript for extracting data such as an address or a customer name. In call centres this means knowing when staff need a break, when a customer is angry - even flagging a potentially fraudulent transaction.
Curious what recognition could automate in your workflow? Send us one document or recording and we'll return a proof of concept.