1、Digitizing DataA New Approach to Creating Seamless Data Streams across the Enterprise Sponsored byTable of ContentsIntroduction3WhyisDigitizedDataImportant?4Solutions4EnterprisesandCMR5PersistentDataChallenges6CASE STUDY:Digitizing and Processing 170K+LoanApplicationsDuring COVIDfora90%AccuracyRate7

2、DigitizingDatawithCMR,RPAandOCR8Conclusion92DIGITIZING DATA:A NEW APPROACH TO CREATING SEAMLESS DATA STREAMS ACROSS THE ENTERPRISE 2022 SSON IntroductionPast responses to crises such as the one in 2008 have involved a shift from low cost labor to higher value work,but nothing short of digitization w

3、ill secure anti-fragility in the present.With human labor susceptible,businesses need a digital workforce for resilience,and survival.Technologies for data capture such as robotic process automation(RPA)and intelligent automation(IA)uncover patterns that saved one global payment company$140 million.

4、Given digitizations laud,the near future will see that more than under a third of organizations,a figure drawn by a McKinsey survey,implement intelligent technologies,and weather the storm.Unstructured data including images,handwriting,signatures,and mobile content pose a challenge to capturing and

5、digitizing data.Cognitive Machine Reading(CMR)and Machine Learning(ML)can be a solution to this problem.They outpace Optical Character Recognition(OCR),which captures only structured data.CMR classifies data across dozens of languages and leads to end-to-end process automation.Garagiola defines end-

6、to-end process automation as“using a machine or even a collection of machines or decision trees to execute those human steps for you.Leaving you as a human to perform more value-added activities versus perhaps some of those processes that are less than worthy of a human performing them or time sucke