Category: AWS Glue

OTTera, a white-label streaming service powering over 2,000 FAST channels, cut scheduling time by 60% by replacing manual workflows with AI agents built on Amazon Bedrock. In partnership with AI/R Compass UOL, OTTera modernized its core systems and deployed conversational AI that turns proprietary data into real-time scheduling intelligence, with projected Year 1 net profit exceeding $6.3 million*.

The race to deploy agentic AI is outpacing the governance needed to put it into production – 74% of companies plan to deploy by 2027, yet only 21% have mature governance models. AWS launched GEAR (Governance Enabling Agentic Readiness) to close that gap, identifying partners whose governance accelerators compress months of setup into weeks and turn AI pilots into production-ready systems with measurable results.

Learn how a major UK energy retailer partnered with Gorilla, an AWS Partner, to transform its residential pricebook process from a 10 to 14 day manual workflow into an automated, cloud-native solution that delivers updated pricing in under one hour, achieving a 95% reduction in cycle time, 75% fewer pricing errors, and full Market-wide Half Hourly Settlement (MHHS) compliance, all without replacing its existing SAP IS-U infrastructure.

Most AI systems today have no direct understanding of the physical world because the underlying spatial data requires purpose-built preprocessing before AI can use it. By using Wherobots, built on AWS, you can transform petabyte-scale spatial data in Amazon S3 into context that AI can reason about through distributed inference, a spatial query engine, and agentic AI integrations. Learn how customers like Leaf Agriculture, SatSure, and Aarden use Wherobots on AWS to operationalize earth observation data, accelerate spatial processing by up to 300 times, and build AI systems grounded in physical reality.

Learn how to build scalable, real-time data lakes by combining Amazon S3 Tables with Snowflake integration. This solution enables efficient streaming data ingestion and analysis while automatically managing table optimization and maintenance. Discover how manufacturing companies can leverage this architecture to transform IoT sensor data into actionable insights, combining operational analytics with predictive maintenance capabilities. The integration between S3 Tables and Snowflake, along with SageMaker Lakehouse’s Iceberg REST endpoint, creates a robust foundation for streaming analytics that can handle high-volume data streams while maintaining performance and security.

Effective aftermarket management can boost revenue, profitability, and customer loyalty for equipment manufacturers. Syncron’s Service Lifecycle Management platform addresses challenges like siloed operations and high costs by consolidating aftermarket activities on AWS. This unified approach aligns decision-making, enhances agility, and enables data-driven insights across departments. The platform offers instant data access, analytics capabilities, and the ability to create custom data products, transforming raw data into actionable intelligence that drives efficiency and profitability in aftermarket operations.

This post explains how Shorthills AI’s collaboration with AWS and DataStax’s Astra DB employs advanced search technologies and natural language processing for enterprise search. This collaboration supports customers making data driven business decisions by leveraging AWS’s enterprise-grade security features alongside DataStax’s high-performance vector search capabilities.

Data governance becomes increasingly important for Customers building large data lakes on Amazon Web Services (AWS) to democratize their access to data. AWS Lake Formation provides fine-grained data access permissions for AWS services like Amazon Redshift, Amazon Athena, and Amazon EMR. Dremio supports AWS Lake Formation data governance framework to create a consistent governance model for enterprise customers.

TCS partnered with a leading Australian bank to implement Consumer Data Right (CDR) compliance through an open banking solution, enabling secure data sharing for 400,000+ customers while maintaining existing banking operations. The solution architecture leverages AWS services including Amazon Kinesis Data Streams, AWS DMS, Data Firehose, Glue, and Aurora MySQL to process 6 million records daily in real-time, with comprehensive security controls and 99.99% uptime. The implementation demonstrates TCS’s expertise in creating scalable, secure enterprise data platforms that enable financial institutions to modernize their data streaming capabilities while protecting core operations and meeting regulatory requirements.

Discover how AWS Partner Genese Solution transforms data analytics with Gandalf Insights, enabling business users to query complex databases using natural language. Learn how this AWS-powered solution reduces time-to-insight from days to minutes while decreasing IT support costs and improving business team autonomy.