Category: Analytics

Turning large amounts of raw data into insights has been cited as one of the most challenging problems by executives. Learn how OpenText InfoArchive on AWS can help you take control of your “business complete data,” which refers to data that is no longer changing and needs to be kept for compliance purposes. When deployed on AWS, customers have access to serverless technologies to integrate their existing data-generating systems while enriching data with AI/ML-powered insights along the way.

Amazon Redshift is a column-oriented database management system that stores data in columns, making it quicker to analyze data. The platform also performs a continuous backup of data, eliminating the risk of losing data or the need to plan for backup hardware. Learn how Hexaware’s automated platform, Amaze for Data & AI, transforms on-premises data warehouse ecosystems to the cloud while ensuring business keeps running smoothly and uninterrupted.

Gogo is a global provider of broadband connectivity products and services for business aviation. It needed a qualified engineering team to undertake a complete transition of its solutions to the cloud, build a unified data platform, and streamline the best speed of the inflight internet. Learn how N-iX developed the data platform on AWS that aggregates data from over 20 different sources using Apache Spark on Amazon EMR.

Without following an adequate data governance framework, data quality remains elusive, especially as the data is managed and retained in silos and organizations struggle to achieve a holistic enterprise-wide view of all of their big data assets. Hear from AWS and Mactores Cognition experts how data lake house technology helps overcome the limitations of data lake and data warehouse systems, and explore architectural characteristics of the data lake house and how these help users optimize data orchestration workflows.

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.