Category: Analytics

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.

A new, data-as-a-product paradigm helps make data more consumable while promoting domain-oriented decentralization of ownership. Learn how Accenture helps enterprises implement decentralized domain-driven architectures and deliver data products by leveraging AWS. In particular, we’ll review how new features in Amazon Redshift, such as data sharing and integration with AWS Data Exchange, can help accelerate time-to-market delivery of data products to increase business value.

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.

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.

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.

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.

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.

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.

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.

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.