Tag: Amazon Comprehend

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 […]

With Amazon Comprehend, the implementation of natural language processing and machine learning has become a simple, routine task. Organizations no longer have to spend hours trying to pick the right algorithm, as Amazon Comprehend automatically selects the best ones for any given use case. To explore this benefit, learn about an implementation of Amazon Comprehend for risk prediction and sentiment analysis on the observations in clinical trials sites.

Customer service agents communicate with many individuals using channels such as inbound and outbound calls, emails, chats, and social media messaging. For channels like email or social media messaging, there is typically a target timeframe within which the agent needs to reply to the customer. Learn about an AI-powered solution called Smart Reply developed by Axrail, an AWS Advanced Tier Services Partner that provides outcome-based digital transformation through analytics and application modernization.

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.

While batch analyzing text data has its own merits, learn about a simple, cost-effective, and efficient solution to analyze sentiment in real time. Confluent is an AWS Data and Analytics Competency Partner that makes it easy to capture and process data in real time and connect your applications, data systems, and entire organization with real-time data flows. It offers a resilient and scalable data streaming platform based on Apache Kafka, delivered as a fully managed service.

Cloud-based contact centers that leverage AI for enhancing the customer experience are gaining wide acceptance. TCS RemacX is an AI-powered CX collaboration space that extends Amazon Connect’s out-of-the box capabilities. It provides ways for customers to get insurance quotes, for example, and assists customer with FAQs using Amazon Lex. It also supports proactive customer communication like automated reminders for payments due using Amazon Pinpoint, and video calling using Amazon Chime.

Engage360, built by Persistent Systems and powered by Amazon Kendra, is a security-certified app on Salesforce AppExchange that lets you provide machine learning-powered search and recommendations right inside Salesforce Sales Cloud, Salesforce Service Cloud, and Salesforce Financial Services Cloud. It transforms how Salesforce users securely discover, access, and deliver relevant knowledge distributed across disparate enterprise information silos and content formats.

A digital journey is of strategic importance for many organizations, and digital transformation enabled by cloud technologies has increased efficiency and raised productivity with improved stakeholder experiences. To achieve these outcomes, transformation initiatives need to be holistic, interlinked, and inclusive. Learn how to supercharge customer experiences and make your contact center future-ready by leveraging HCLTech’s Fluid Contact Center Intelligence (Fluid CCI) and AWS AI/ML services.

Most SaaS solutions which undergo an AWS Foundational Technical Review (FTR) ingest, manage, and store sensitive data. The FTR is a review based on the AWS Well-Architected Framework and enables AWS Partners to identify and remediate risks in their solutions. Learn how to manage and secure sensitive data within their SaaS solutions with a focus on addressing requirements related to PII or PHI requirements in the Foundational Technical Review.