AWS Partner Network (APN) Blog

Tag: Machine Learning

Transforming Teacher Development with AI-Driven Coaching Feedback

Learn how Steplab, in collaboration with AWS and BJSS, leverages Amazon Bedrock and Claude 3.5 Sonnet LLM to revolutionize teacher coaching through AI-powered personalized feedback.

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AI Governance with Domino Data Lab on AWS: From Policies to Practices

As AI governance becomes a pressing necessity, Domino Data Lab, in partnership with AWS, is bridging the gap between abstract policies and actionable practices. Domino’s Enterprise AI Platform on AWS empowers organizations to innovate confidently and responsibly by seamlessly integrating effective governance throughout the AI lifecycle, mitigating risks while driving business value.

IBM Digital KYC on AWS uses Generative AI to transform Client Onboarding and KYC Operations

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 […]

Industry Transformation with Workday and AWS

Workday and AWS Deliver Enhanced AI Capabilities

Integrating Workday Extend with Amazon Web Services (AWS) empowers organizations to unlock innovation and create custom solutions. Workday Extend’s no/low-code platform, combined with AWS services like Amazon S3, AWS Lambda, Amazon EventBridge, Amazon Rekognition, Amazon Comprehend, Amazon Textract and Amazon Translate enables faster time-to-market and greater productivity. The integration supports various use cases, from automating billing processes to AI-powered text and image analysis. With robust security and seamless authentication, this collaboration accelerates digital transformation and growth. Visit the Workday Developer Site or contact your Workday Account Executive for more information.

Discover and Protect Sensitive Data with HCLTech’s DataPatrol Framework Built with Machine Learning on AWS

It’s critical to identify and protect the sensitive data collected from any unauthorized disclosure, and it’s the responsibility of every organization to effectively discover, control, and manage their sensitive data footprints and comply with relevant data protection laws. Learn how HCLTech‘s DataPatrol framework accomplishes critical tasks in the lifecycle of sensitive documents and improves sensitive data discovery and governance across your AWS environment.

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Enhancing OpenText Axcelerate eDiscovery with Translation Capabilities on AWS

Integrated eDiscovery software enables collection, processing, analysis, classification, review, and production of electronically stored information in a single solution. Learn how OpenText, a global information management leader, helps organizations manage and gain value from their business content. OpenText Axcelerate enables customers to prioritize the most relevant documents for review, reduce datasets, and achieve higher efficiency and accuracy.

How Quantiphi Breaks Through Machine Learning Bottlenecks with NeuralOps

Organizations have matured and have overcome the initial hurdles of proving the capabilities of AI. The challenge now is operationalizing AI and building engineering excellence to successfully adopt and manage machine learning at scale. Learn how Quantiphi assisted Venterra Realty in bringing in the best ML solution development and deployment practices through NeuralOps—a framework built on Amazon SageMaker.

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Demystifying Natural Language Processing and Machine Learning with Amazon Comprehend

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.

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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.