Category: Analytics

Life sciences organizations invest significantly in real-world data (RWD), yet face persistent challenges in turning these investments into actionable insights. Panalgo’s IHD Cloud platform on AWS addresses these challenges by deploying advanced analytics capabilities directly within customers’ secure environments. Through this approach, organizations have reduced analysis time from months to days while maintaining strict data security and regulatory compliance standards.

Learn how Moneythor’s solution on AWS lowers customer acquisition cost and increases customer engagement through personalization and gamification in financial services by leveraging Amazon EKS, Amazon RDS and Amazon Bedrock.

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.

Discover how Amplitude’s integration with Amazon Bedrock enables AI-powered product analytics to help organizations automatically detect user friction points, recommend solutions, and implement changes in real time. Learn how this AWS Partner solution transforms analytics from a reactive to proactive process, helping teams drive product growth through automated insights and experimentation. Amplitude has collaborated with AWS to introduce Amplitude AI Agents powered by Amazon Bedrock, transforming traditional product analytics into an automated, proactive process that helps organizations bridge the gap between detecting user behavior issues and taking action. The solution enables product teams to automatically identify friction points, optimize marketing campaigns in real time, and scale experimentation without increasing headcount, while freeing data teams to focus on strategic initiatives rather than routine analysis.

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.