AWS Partner Network (APN) Blog

Tag: Artificial Intelligence

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.

ThoughtSpot-AWS-Partners

AI-Driven Analytics at Any Scale with ThoughtSpot and Amazon Redshift

ThoughtSpot has developed a way for business people to easily answer their own data questions. Search-driven analytics is based on the concept that finding answers to business questions should be as easy as a basic internet search. With ThoughtSpot, there’s no need for SQL expertise or lengthy training sessions—rather, simple searches are translated into database queries and answers are calculated on-the-fly.

Solutions-Architecture-1

Intelligent Video Analytics and Effective Remote Learning on Campus Private 4G/5G Networks

Edge computing is a new paradigm in which the resources of a small data center are placed at the edge of the internet, in close proximity to mobile devices, sensors, and end users. Learn about the Physical Distancing Video Analytics Solution (VAS) on campus private 4G/5G networks that was developed utilizing AWS edge services in partnership with Carnegie Mellon University’s Open Edge Computing Initiative, Megh Computing’s Video Analytics Solution, and Federated Wireless Private Network Connectivity as a Service.

How to Export a Model from Domino for Deployment in Amazon SageMaker

Data science is driving significant value for many organizations, including fueling new revenue streams, improving longstanding processes, and optimizing customer experience. Domino Data Lab empowers code-first data science teams to overcome these challenges of building and deploying data science at scale. Learn how to build and export a model from the Domino platform for deployment in Amazon SageMaker. Deploying models within Domino provides insight into the full model lineage.

ClearScale-AWS-Partners

How AWS Machine Learning Services Increase Medical Coding Accuracy and Efficiency

Medical coding helps providers maintain patient records and obtain reimbursement for services. Unfortunately, the process is complicated, time-consuming, and prone to error. Learn how ClearScale developed a solution that increases the efficiency and accuracy of the coding process. Powered by AWS Machine Learning, the application translates recorded medical appointment notes, and uses the information to generate more accurate medical codes.

Automated Cloud Network Threat Detection and Response with Blue Hexagon and AWS

VPC traffic mirroring and VPC ingress routing are powerful AWS networking primitives to monitor network traffic in your VPC at the packet-level. With Blue Hexagon’s next-gen Network Detection and Response (NG-NDR) security tool for AWS, which is powered by real-time deep learning, you can detect threats in network headers and payloads in less than a second. The additional AWS Security Hub integration enables you to trigger a rich action space of remediation and response.

How Provectus and GoCheck Kids Built ML Infrastructure for Improved Usability During Vision Screening

For businesses like GoCheck Kids, machine learning infrastructure is vital. The company has developed a next-generation, ML-driven pediatric vision screening platform that enables healthcare practitioners to screen for vision risks in children in a fast and easy way by utilizing GoCheck Kids’ smartphone app. Learn how GoCheck Kids teamed up with Provectus to build a secure, auditable, and reproducible ML infrastructure on AWS to ensure its solution is powered by highly accurate image classification model.

IoT-7

How to Deploy AI Inference on the Edge with the LG AIoT Board and AWS IoT Greengrass

The growth of AI in a wide range of applications demands more purpose-built processors to provide scalable levels of performance, flexibility, and efficiency. The LG AIoT board helps customers accelerate their computer vision and machine learning journey using AWS. Learn how to build a simple AI-enabled application with AWS IoT Greengrass that takes advantage of the hardware AI acceleration on the LG AIoT board. AWS IoT Greengrass extends AWS on your device and offers the cloud programming model and tools at the edge.

NVIDIA-AWS-Partners

Interactive Scientific Visualization on AWS with NVIDIA IndeX SDK

Scientific visualization is critical to understand complex phenomena modeled using high performance computing simulations. However, it has been challenging to do this effectively due to the inability to visualize, explore, and analyze large volumes of data and lack of collaborative workflow solutions. NVIDIA IndeX on AWS addresses each of these problems by providing a scientific visualization solution for massive datasets, thus opening the doors for discovery.

Amazon Fraud Detector Can Accelerate How AI is Embedded in Your Business

Online fraud is estimated to be costing businesses billions of dollars a year. As Fraudsters evolve new behaviors to get around preventive measures, businesses need a strategy that enables them to be responsive to new problems as they emerge. Learn how Inawisdom uses Amazon Fraud Detector to accelerate how AI can be embedded in a company’s strategy. What makes machine learning more flexible is its focus on identifying general patterns by looking at lots of examples.