Category: Analytics

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.

As customer expectations evolve and data volumes grow exponentially, organizations face unprecedented challenges in managing and activating customer data effectively. Snowplow, a behavioral data collection platform, combined with Databricks Lakehouse platform, creates a scalable foundation for building a next-generation composable CDP on AWS. This solution enables organizations to collect, process, and activate customer data at scale while maintaining complete data ownership and control.

The challenge for clinicians involves the secure management and analysis of patient data from various medical sensors and monitoring devices. Learn how Vivalink’s Biometrics Data Platform on AWS is transforming patient care through secure, scalable, and intelligent biometric data management.

Discover how integrating Tealium CDP with Amazon Connect transforms customer service by bringing real-time digital journey insights directly to your contact center. Understand a reference architecture for seamlessly incorporating customer behavior data from web, mobile, and connected devices into Amazon Connect. See how this integration empowers agents with contextual intelligence, reduces resolution times, and delivers hyper-personalized experiences that drive customer satisfaction.

Customer expectations are rising, and delivering seamless, AI-enhanced support is now essential. Discover how the Accenture AWS Business Group (AABG) is transforming contact center operations with their Connected Customer Experience (CCE) offering on AWS. Learn how generative AI-driven capabilities empower agents and enhance customer interactions, driving efficiency and modernization for businesses.

Illumina’s suite of multiomics analysis tools hosted on AWS include capabilities for quality control, data aggregation, and advanced analytics. In this post, we demonstrate how software from Illumina, including DRAGEN™, Illumina Connected Analytics, Correlation Engine, and Illumina Connected Multiomics enable researchers to build scalable, secure analytical pipelines while maintaining security, data privacy, and compliance at scale.

The Agent AI Ally solution revolutionizes call center operations by harnessing generative AI to provide agents with real-time, contextual support and product information during customer interactions. Powered by Anthropic’s Claude 3.5 Sonnet model through Amazon Bedrock, the solution delivers instant insights and suggestions while analyzing customer responses in real-time. This comprehensive platform integrates key AWS services including Amazon Connect, Transcribe, and Kendra to create a powerful system that enhances agent performance and customer satisfaction through AI-driven assistance and efficient data processing

With increasing focus on IoT, AI/ML and generative AI, SAP data provides an unified view of business-critical information by streamlining operations, improving decision-making, and driving innovation. In this blog, we explore optimizing data management by leveraging a modern data architecture on AWS, and discuss how Fivetran automated SAP data replication accelerates enterprise processes and unlocks insights.

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.