AWS Partner Network (APN) Blog

Tag: Artificial Intelligence

Quantiphi-AWS-Partners

Cognitive Document Processing and Data Extraction for the Oil and Gas Industry

The oil and gas industry is highly complex and churns out copious amounts of data from sensors and machines at every stage in their business value chain. This post analyzes the role of machine learning for document extraction in the oil and gas industry for better business operations. Learn about Quantiphi’s document processing solution built on AWS, and how it helped a Canadian oil and gas organization address document management challenges through AI and ML techniques.

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Accenture-AWS-Partners

Transforming the Traveling Experience with Accenture 5G Smart Airport Assistant and Amazon AR/VR

The aviation industry has long been in the vanguard of digital disruption. An interactive navigation and operations solution developed by the Accenture AWS Business Group (AABG) can improve the airport experience of travelers, whether they are waiting for a flight or looking for a check-in area, food court, lounge, transportation, or customer service counter. Accenture’s smart airport assistant, called 5G-Connected Airport, uses facial recognition to help travelers pass quickly through security once they have registered.

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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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How SF Medic Provides Real-Time Clinical Decision Support Using AWS Machine Learning Services

The healthcare industry is experiencing a global shortage of doctors, nurses, and other healthcare professionals. Telemedicine, which provides primary healthcare services to patients through remote connectivity, is one approach for addressing this challenge. SourceFuse developed an easy-to-use and secure telemedicine application called SF Medic that can be adopted by hospitals, clinics, and even single-physician practices.

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Say Hello

Say Hello to 86 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in May

We are excited to highlight 86 APN Partners that received new designations in April for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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Accenture-AWS-Partners

Optimizing Supply Chains Through Intelligent Revenue and Supply Chain (IRAS) Management

Fragmented supply-chain management systems can impair an enterprise’s ability to make informed, timely decisions. Accenture’s Intelligent Revenue and Supply Chain (IRAS) platform integrates insights generated by machine learning models into an enterprise’s technical and business ecosystems. This post explains how Accenture’s IRAS solution is architected, how it can coexist with other ML forecasting models or statistical packages, and how you can consume its insights in an integrated way.

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Training Multiple Machine Learning Models Simultaneously Using Spark and Apache Arrow

Spark is a distributed computing framework that added new features like Pandas UDF by using PyArrow. You can leverage Spark for distributed and advanced machine learning model lifecycle capabilities to build massive-scale products with a bunch of models in production. Learn how Perion Network implemented a model lifecycle capability to distribute the training and testing stages with few lines of PySpark code. This capability improved the performance and accuracy of Perion’s ML models.

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TCS-AWS-Partners

Intelligent Call Routing Using Amazon Fraud Detector and Amazon Connect

Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as online payment fraud and the creation of fake accounts. Learn how APN Premier Consulting Partner TCS has been integrating Amazon Fraud Detector to detect spam calls and route them efficiently using Amazon Connect. Used together, these AWS services can distinguish your genuine customers from spam or fraudulent callers.

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KNIME-AWS-Partners

Boosting the Assembly and Deployment of Artificial Intelligence Solutions with KNIME Visual Data Science Tools

With rapid advancements in machine learning techniques over the past decade, intelligent decision-making and prediction systems are poised to transform productivity and lead to significant economic gains. KNIME provides visual data science tools to help data science teams rapidly build and deploy data-driven solutions that integrate with AWS decision support tools and services. Learn about the barriers to adoption of AI and the ways in which the KNIME tools remove those barriers.

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Next-Caller-AWS-Partners

Building a Data Processing and Training Pipeline with Amazon SageMaker

Next Caller uses machine learning on AWS to drive data analysis and the processing pipeline. Amazon SageMaker helps Next Caller understand call pathways through the telephone network, rendering analysis in approximately 125 milliseconds with the VeriCall analysis engine. VeriCall verifies that a phone call is coming from the physical device that owns the phone number, and flags spoofed calls and other suspicious interactions in real-time.

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