AWS Partner Network (APN) Blog

Category: Analytics

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Enhance Customer Experience Through Real-Time Sentiment Analysis with Confluent on AWS

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.

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Unlocking the Power of Machine Data with SmartInsights from TensorIoT

TensorIoT recognized the need for solutions that help companies collect and interpret equipment and process data. Learn how SmartInsights from TensorIoT is an AWS-based customizable end-to-end solution that industrial and commercial customers use to rapidly connect and derive actionable insights from operational systems. SmartInsights reduces the level of technical know-how and skill needed to implement a functional solution, and accelerates time to value for manufacturers and other industrial customers.

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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.

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How Qlik Simplifies Analytics Data Collaboration Through Amazon Redshift Data Sharing

Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements has become more complex. Learn how Qlik integrates with Amazon Redshift to simplify data sharing to ensure efficient collaboration and development of business insights that can drive decision-making. Qlik’s Active Intelligence Platform allows for open-ended, curiosity-driven exploration, giving everyone the ability to make real discoveries that lead to outcomes and transformative changes.

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How Protegrity Helps Protect PII and PHI Data at Scale on Amazon S3 with AWS Lambda

With the ever-growing need for enterprise data to migrate to the cloud, and the necessity of keeping that data secure, organizations are searching for tools that enable migration while meeting regulatory requirements for data security and privacy. To meet these needs for customers, Protegrity has introduced new solutions leveraging Amazon S3, and these Cloud Protect for S3 products enable you to secure your sensitive data in S3 with Protegrity technology such as tokenization.

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Building a Serverless Trigger-Based Data Movement Pipeline Using Apache NiFi, DataFlow Functions, and AWS Lambda

Organizations have a wide range of data processing use cases, collecting data from variety of sources, transforming it and loading it to different destinations to fulfill diverse business needs. Learn how DataFlow Functions, combined with the serverless compute services provided by AWS Lambda, enables developers to implement a wide spectrum of use cases using the low-code NiFi flow designer user interface, and deploy the flows as short-lived serverless functions.

Building a Predictive Maintenance Solution Using AWS AutoML and No-Code Tools

Learn how equipment operators can build a predictive maintenance solution using AutoML and no-code tools powered by AWS. This type of solution delivers significant gains to large-scale industrial systems and mission-critical applications where the costs associated with machine failure or unplanned downtime can be high. The design of this solution is based on the experience of Grid Dynamics with manufacturing clients.

Create Dynamic Serverless Applications with Neo4j Graph Database and AWS Lambda

The AWS Cloud Development Kit (AWS CDK) is a framework that provides an automated and repeatable way of handling cloud infrastructure. Learn how to use the AWS CDK to build an AWS Lambda function in Java that connects to Neo4j. The framework described here can be used to build dynamic serverless applications where the frontend scales based on system demand. This makes it possible to easily get value from your connected graph data in front end applications.

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How Cognizant Interactive Data Visualization Platform Helps with Data Integration, Interaction, and Insights

Interactive Data Visualization Platform is a low-code platform built on AWS which provides an environment for developing business applications and automated workflows with minimal code. It can integrate, transform, visualize, and analyze data from a variety of sources. It can also generate insights, resolve anomalies, and proactively identify issues and bottlenecks. The platform is built with API and security-first design principles across layers. Each component runs independently and has the flexibility to be customized.

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Defending Against Ransomware with AWS and Cohesity FortKnox

With an increase in frequency and severity of ransomware incidents worldwide, enterprises are under pressure to better safeguard their mission-critical data. To address this, Cohesity launched FortKnox, a modern data isolation and recovery-as-a-service solution that runs on AWS. Learn how it helps customers maintain an immutable virtual air-gapped copy of backup data that acts as an additional layer of protection against ransomware and other cybersecurity threats.