AWS Partner Network (APN) Blog

Tag: Amazon Comprehend

HCL-AWS-Partners

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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TCS-AWS-Partners-1

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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Capgemini-AWS-Partners

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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How to Build and Deploy Amazon SageMaker Models in Dataiku Collaboratively

Organizations often need business analysts and citizen data scientists to work with data scientists to create machine learning (ML) models, but they struggle to provide a common ground for collaboration. Newly enriched Dataiku Data Science Studio (DSS) and Amazon SageMaker capabilities answer this need, empowering a broader set of users by leveraging the managed infrastructure of Amazon SageMaker and combining it with Dataiku’s visual interface to develop models at scale.

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Cloud Anything-13

How AWS and ISVs Are Empowering Customers on Their Cloud Journey

AWS is building a partner community that is the most customer-centric in the world and creates long-term success for AWS and our committed partners. One of the ways we do this is by focusing our investments on independent software vendors (ISVs) that extend the reach of the AWS Cloud and provide our customers with more choice. These trusted AWS Partners provide feature-rich experiences on AWS to support customers’ enterprise IT needs.

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Zendesk-AWS-Partners

Building an Intelligent Contact Center with Zendesk and Amazon Connect

Zendesk and VoiceFoundry released the Amazon Connect app on the Zendesk Marketplace as part of a broader vision for the intelligent contact center of the future. The Amazon Connect app for Zendesk brings together a wide set of capabilities and unlocks endless possibilities for you to empower your agents and better engage your customers. By combining the powers of Amazon Connect and Zendesk, businesses can build a more intelligent contact center.

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AWS Navigate-2019

How to Leverage APN Navigate to Prepare for the AWS Machine Learning Competency

Machine learning is a core component of tomorrow’s technology solutions. That’s why we are working with customers and APN Partners to drive this transformation journey. AWS has developed several partner programs to accelerate the process and enable you to create value for customers. This post explores APN Navigate, a comprehensive enablement program for APN Partners, and the AWS Machine Learning Competency, which validates and promotes a partner’s expertise in ML.

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Amazon EventBridge-Partners-2

Quickly Build End-to-End Integrations to SaaS Partner Event Sources and AWS Services with Amazon EventBridge

AWS introduced Amazon EventBridge partner event source integrations to showcase reference architectures and end-to-end use cases that help you get started quickly with integrating SaaS partners in your own applications. Fully open source, these solutions include code and AWS Serverless Application Model (SAM) templates that can be customized and extended to fit your application’s needs. The reference architectures include AWS Quick Starts and GitHub code to ease integration.

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Sisense-AWS-Partners

Using Amazon Comprehend Medical, Sisense, and G-Med to Create an AI-Enhanced Knowledge Base to Combat COVID-19

As COVID-19 began to sweep the globe, organizations of all shapes, sizes, and missions sought every available tool in the fight to save lives and limit the scope and spread of the pandemic. One of the key tools at their disposal was data. G-Med, the world’s largest online medical community, teamed up with AWS Competency Partner Sisense to make a plethora of COVID-19 treatment protocols easily analyzed and searchable using AWS machine learning technologies.

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