AWS Partner Network (APN) Blog

Tag: Amazon Comprehend

UiPath-AWS-Partners

Increase Operational Efficiency and Drive Faster Business Outcomes with UiPath Robots on AWS

Organizations are pursuing agility by developing automation for business processes using virtual robots, but they need technology that goes beyond simply helping automate a single process. UiPath offers an end-to-end platform for automation with the enterprise-ready cloud infrastructure, AI services, and intelligent automation solutions from AWS that provide the foundation to scale your enterprise automation. UiPath is a leader in the “automation first” era that is enabling robots to learn new skills through AI/ML.

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Enabling Digital Automation in Intelligent Document Processing (IDP) for Public Sector Partners and Customers Using AWS AI

Learn about the AWS AI services stack for government agencies and partners to develop intelligent automation solutions to extract information from digitalized paper documents. Intelligent Document Processing (IDP) is a solution that enables extraction and processing of specific data elements from documents using AI and machine learning techniques. AWS services that add AI/ML intelligence to IDP solutions include Amazon Textract, Amazon Comprehend, Amazon Augmented AI, and Amazon Kendra.

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Leveraging Amazon Rekognition and Amazon Comprehend on Dataiku Data Science Platform

Dataiku orchestrates the entire machine learning lifecycle and makes it accessible to data scientists and analysts alike. With deep integration with AWS AI tools, Dataiku enables users to augment their analytics workflow with pretrained NLP and computer vision models. Learn how you can use Amazon Comprehend and Amazon Rekognition plugins on Dataiku Data Science Studio (DSS) to build a simple workflow of NLP and computer vision use cases, respectively.

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Unispeech-AWS-Partners

Adding AI/ML Services to Existing On-Premises and Cloud-Based Contact Centers Through the MRCP Network Protocol

Some contact center platforms don’t offer native integrations with AWS AI/ML services. Consequently, customers must learn to live with a “just enough” contact center until their license agreements expire, look for other options beyond AWS, or wait for the platform provider to build the integrations in future releases. Learn how Universal Speech Solutions (also known as Unispeech) created AWS AI/ML plugins that enable the non-native integrations.

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Quantiphi-AWS-Partners

Transforming Customer Experience and Boosting Retention with AI-Powered Contact Centers

Today’s global marketplace relies heavily on contact centers for streamlining, maintaining, and maximizing customer service and sales at scale. Explore the role of machine learning solutions in transforming contact centers and the key aspects of Quantiphi’s contact center intelligence (CCI) solution built on AWS. Learn how it helped a U.S.-based consumer healthcare organization address contact center challenges by using custom artificial intelligence and ML techniques.

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Building Personalized Customer Experiences Using Amazon Connect and Servion’s ServDesk

Servion started collaborating with AWS on hosting custom applications built for contact center customers. This helped Servion acquire knowledge of AWS services related to security, administration, load balancing, database, and networking. Learn how to build differential and personalized experiences using Amazon Connect contact flows, AWS Contact Center Intelligence (CCI) services, and ServDesk agent widgets.

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How to Accelerate the Bank 4.0 Journey with the HCL Total Experience Suite on AWS

Digital continues to redefine the customer journey for banks, and the usage of digital channels is driving the next generation of customer experience. Learn how HCL Technology’s Ziva, FluidCCI, and APIHub solutions are fully built on AWS and form an end-to-end Bank 4.0 offering for traditional and digital banks looking to transform their agent, business, and customer experiences for digital differentiation and/or cost reduction initiatives.

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Taming Machine Learning on AWS with MLOps: A Reference Architecture

Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.

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Servicing Customers on Social Messenger Channels via Amazon Connect Chat

Amazon Connect is an easy-to-use cloud contact center platform that helps enterprises provide superior customer service at a lower cost. TCS has built an adapter that can pick up the customer queries from social messenger channels and bring them into the web chat channel of Amazon Connect. This post describes the high-level architecture of the TCS solution, potential benefits, and ways to extend the solution to leverage other AWS services.

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How Capgemini Simplifies Pandemic Management with AWS Machine Learning Services

In a global pandemic, it can be hard for medical practitioners and patients to get connected and treated. Continually being on top of patients’ progress is also a challenge, along with scarcity of doctors who themselves are affected by the pandemic. Learn about a reference architecture from Capgemini that uses AWS machine learning services to enable doctors and patients to interact with the least amount of physical contact, while also improving efficiency in treatment management, tracking, and auditing.

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