Tag: Amazon Textract

By: Nisha Dekhtawala, Sr. Partner Solutions Architect – AWS By:Diego Colombatto, Prin. Partner Solutions Architect – AWS By:Rick Hoehne, Sr. Partner, Financial Crime – IBM By:Abhay Mhatre, Associate Partner, Data & Technology Transformation – IBM By:Sanal Kumar, Partner Developmenet Manager – AWS Introduction In today’s digital world, institutions face significant challenges with onboarding new customers […]

Turning large amounts of raw data into insights has been cited as one of the most challenging problems by executives. Learn how OpenText InfoArchive on AWS can help you take control of your “business complete data,” which refers to data that is no longer changing and needs to be kept for compliance purposes. When deployed on AWS, customers have access to serverless technologies to integrate their existing data-generating systems while enriching data with AI/ML-powered insights along the way.

Traditional content process workflows are expensive and complex to enhance with artificial intelligence and machine learning technologies. Kablamo’s Digital Asset Management (DAM) solution on AWS leverages leading AI/ML services to enable customers to secure, index, cold-store, and access digital assets across the enterprise. Learn how Kablamo DAM is right-sized for all customer industries and integrates into existing workflows with ease.

Many organizations derive business understanding and new insights through content analytics and intelligence. Wipro’s email automation framework leverages machine learning services from AWS that enable organizations to extract data from emails and provide automated instructions which enhance accuracy and improve staff productivity. This solution supports data extraction from the mailbox (email body and attachments) and validates and prioritizes based on the urgency of emails.

Doqulogic is built by Tata Consultancy Services (TCS) to address challenges faced by companies who spend large amounts of time and resources in the manual processing of documents. Learn how Doqulogic eliminates the processing overhead, reduces the time taken to process documents, and tailors multiple AWS services together to make processes like purchase order processing simpler for customers by integrating through emails and backend ERP solutions like SAP S/4HANA.

Learn how AWS and Xoriant are working together to offer a service that assists any firm with their invoicing needs through X·CELERATE Invoice and Amazon Textract. This post covers the key steps of this system and how the collaboration between AWS and Xoriant is building better invoicing solutions for companies dealing with hundreds, if not thousands, of invoices each month. Learn why automated invoice processing (AIP) is important and how AWS and Xoriant are fueling innovation in AIP.

Next in our “10 Years of Success” series is Appian, an AWS Competency Partner whose unified low-code platform combines process mining, workflows, and automation to help customers build cloud-native applications and workflows. We spoke with Marc Wilson, Founder and Chief Partner Officer at Appian, about the company’s 10-year transformation, its role as key players in the low-code platform market, and what APN resources Appian has found most valuable as an AWS Partner.

SAP systems need a capable document management solution. Syntax, an SAP Gold Partner and AWS Premier Tier Services Partner, has focused on customer needs to develop a cloud-native, SAP-certified solution to meet data and document modernization requirements through its CxLink product portfolio. Explore the Syntax CxLink Documents solution and the process of how to handle a large number of documents from SAP applications and storing them directly on Amazon S3.

In construction, new methods of capturing site information, such as laser scanning, photogrammetry, drone photography, and continuous video monitoring have presented challenges for file storage, analysis, and archiving. Learn how the Nasuni Analytics Connector can help architecture, engineering, and construction customers gain business insight from file data, while using many of the network-attached storage they’re familiar with.

To quickly build intelligent data-driven workflows, organizations need business analysts to work with data scientists and development teams to unlock useful insights from unstructured or semi-structured data. Learn how KNIME’s end-to-end data science product portfolio helps bridge the gap between the ideation and productionalization steps of data science projects, while also assisting in the communication of key data science aspects between teams.