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Title Insurance Company Reduces Processing Time from 3 Weeks to 3 Days
Cognitive Machine Reading transforms the title report generation process by reading and digitising 35 different document types.
Manufacturer Saves 4,000 Invoicing Hours Each Year
With CMR this customer experienced a 79% accuracy rate of conversion and saved over 4,000 hours annually of overall invoice processing time.
Commercial Insurance Webinar
In this webinar we welcomed Mercer’s Global Automation Leader, Kieran Gilmurray who will reveal how he is planning to address accelerated . . .
How Commercial Insurance Gains an Edge by Digitising Data
Today’s customers expect automated simplicity and where they are satisfied, they’ll stay. The improved experience through data-driven engagements . . .
Global Insurer Conquers Data Digitisation
Insurer achieves 85-92% for handwriting recognition, enabling processing of unstructured data.
Cognitive Machine Reading
The only platform in the market that digitises and understands all data types.
Trade Finance Bank Experiences 80% Data Accuracy
With 16 document types, this bank is able to digitise different document types, including unstructured formats obtains straight through processing.
Spark 44 Cuts Processing Time by 50% with AntWorks RPA
Spark44 in partnership with Land Rover Jaguar uses AntWorks RPA to ingest and digitise unstructured data.
Banking 2030: The Where and How of Data and AI for Banking
Digitising data is the key to your success for any automation initiative. Learn how to make all your data available and useable.
The End of Manual Data processing for Insurance
NelsonHall reveals results of Cognitive Document “Bake-off” and John Hancock Manulife Reports on their Practical Experience
Insurance 2030: The Where and How of Data and AI in Insurance
The role of data is central in the global insurance market. Data is not simply the facilitator for better underwriting and pricing, but it’s the DNA of the 21st-century connected organisation.
Cognitive Machine Reading datasheet
Cognitive Machine Reading combines the power of AI technologies such as Natural Language Processing (NLP), Machine Vision, Natural Language Modelling (NLM)