“At Cox Automotive, we are looking to transform the way the world buys, sells, owns and uses cars. To further modernize our automotive solutions, we will be leveraging Amazon Textract to accelerate how quickly cars can be transacted. With Amazon Textract, we can automatically capture and validate data from documents and forms, such as loan applications or vehicle titles, so decisions can be made more quickly. This will reduce customer effort and further streamline the process for everyone involved from the manufacturer to the buyer.”
Bryan Landerman, Chief Technology Officer - Cox Automotive
“At Alfresco, we want to make document processing and content management as simple as possible for our customers. Since a document management system is only as good as its input, it is critical that we have the foundational tools that can automatically and accurately extract key information from digitized documents. Previously, we built custom solutions on top of OCR technology in order to extract data of interest, which required intensive manual training. This process consumed valuable time and resources, but it was work that had to be done. With Amazon Textract, we can now automatically extract not just the text in a document and table information, but real insights that allow us to automate data entry and facilitate faster business decisions. Amazon Textract is enabling us to provide greater data integrity, security compliance, and the ability to launch business processes faster than ever. And most importantly, all of this helps us better assist our customers in their digital transformation journey.”
John Newton, Chief Technology Officer & Founder - Alfresco
"Roche's NAVIFY decision support portfolio provides solutions that accelerate research and enable personalized healthcare. With petabytes of medical PDF documents being generated in hospital systems every day, we needed a document extraction service to handle documents that have no standardized format. Amazon Textract provides the functionality to help us extract text from medical documents, so that we can then apply Natural Language Processing (NLP) to build a comprehensive, longitudinal view of patients, and enable both decision support and population analytics."
Ram Balasubramanian, Sr. Director of Software Engineering - Roche Diagnostics Information Solutions
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