AWS Partner Network (APN) Blog

Tag: Artificial Intelligence

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Nordcloud’s Automated Solution for Computer Vision Applications at the Edge Using AWS Panorama

In computer vision applications, the transmission of video data to the cloud for analysis can result in added delays due to various contributing factors such as queuing, propagation, and network latency. Learn how the Nordcloud team, in collaboration with AWS, has designed a “Computer Vision at the Edge” solution based on AWS Panorama. It caters to organizations seeking low-latency decision making without the burden of managing complex technology.

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How Metal Toad Uses Machine Learning to Keep a Top Comic Site Safe for San Diego Comic-Con

Metal Toad has been working with major entertainment brands for decades, including keeping some of the highest-profile media sites live under unique traffic conditions. Keeping these sites up and running is one of Metal Toad’s superpowers, but the AWS Digital Customer Experience Competency Partner couldn’t do it without the tools provided by AWS. Explore some of the strategies Metal Toad deployed to protect a customer’s site during an event where failure was not an option.

How Axrail Built an AI-Powered Automated Reply System for Users’ Customer Service Queries

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.

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Accelerate Machine Learning Initiatives Using DXC’s MLOps Quick Start on AWS

A small number of companies manage to leverage the true value of their machine learning proofs of concept, and the majority of those are still struggling to overcome the experiment-production gap for their AI applications fueled by machine learning and data. Learn about MLOps, why organizations should care about it on their AI journey, and how DXC Technology and AWS can help to quickly integrate MLOps best practices into your daily business using the MLOps Quick Start for MLOps on AWS.

How PFT CLEAR Vision Cloud Leverages Amazon EKS for Optimized and Sustainable AI Processing

CLEAR Vison Cloud from Prime Focus Technologies (PFT) enables streaming platforms, studios, and broadcasters to automatically process, manage, and monetize their content supply chain using cloud-based AI/ML workflows and media services. Learn how the solution leverages a blend of AI/ML models deployed using Amazon EKS with a zero-node design. This model results in a >90% increase in compute efficiency and processor utilization, while maintaining customer SLA-mandated delivery timelines.

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Accelerate AI/ML Integration into Digital Content Workflows with Kablamo Digital Asset Management

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.

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Wipro’s Email Automation Framework Helps Customers with Content Extraction and Classification

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.

Data-Based Global Market Prediction Using Brightics AI with AWS

Samsung SDS is an information and communications technologies arm of the Samsung Group. Its Brightics AI solution provides services from the perspective of an integrated analysis environment by containerizing open sources such as analytic functions. Explore the architecture for how a multi-national electronic manufacturing company established a model development and analysis platform using Brightics AI on AWS to predict markets and establish sales strategies through AI models.

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Building a Visual Quality Control Solution with Amazon Lookout for Vision and Advanced Video Preprocessing

Conveyor belts are an essential material handling tool for various industrial processes, but high throughput rates make it difficult for operators to detect defective products and remove them from the production line. Learn how Grid Dynamics built an advanced video preprocessor and integrated it with Amazon Lookout for Vision, using a food processing use case as an example. Amazon Lookout for Vision is an AutoML service for detecting anomalies in images.

How the TCS RemacX AI-Powered Customer Experience Collaboration Space Improves Your Contact Center Capabilities

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.