Category: Technical How-to

As companies grow, data can become fragmented across business units, hindering insights. PwC built an enterprise data solution on AWS to centralize data and streamline ingestion from diverse sources into a consolidated data lake using native AWS services and configurations. This reduces bespoke data collection, freeing up time for analysis and innovation with consistent, up-to-date data sets. The expandable solution accelerates stand up and bridges silos to unlock operational insights across the business.

Generating high-quality synthetic data protects privacy and augments scarce real-world data for training machine learning models. This post shows how to integrate the Gretel synthetic data platform with Amazon SageMaker Pipelines for a full ML workflow. Gretel’s integration with SageMaker Pipelines in a hybrid or fully managed cloud environment enables responsible and robust adoption of AI while optimizing model accuracy. With Gretel, data scientists can overcome data scarcity without compromising individuals’ privacy.

Companies often struggle to understand customer sentiment in call center data, posing barriers to responding to emotions in real-time. SuccessKPI uses natural language understanding and machine learning on a large dataset to enable sentiment prediction. This helps avoid bias of human reviewers and attain objective results when analyzing customer feedback. SuccessKPI offers capabilities like sentiment by channel, time, quarter, and entity to transform customer experiences.

Intelligent document processing (IDP) automates data extraction from diverse document formats, accelerating information retrieval. Manually labeling is expensive and difficult, and Cognizant’s IDP solution on AWS automates document labeling at scale to overcome this challenge. Its customized user interface in Amazon SageMaker Ground Truth lets subject matter experts efficiently label documents.

Skuid by Nintex is a low-code platform for rapidly building enterprise web apps. This post demonstrates using Skuid to connect to Amazon S3, listing bucket contents in a table, and enabling upload, download, and delete actions. With just a few configuration steps and zero coding, Skuid integrates data from services like S3 into polished, branded experiences, and streamlines building cloud-native apps without compromising power or flexibility.

Large language models like Amazon Bedrock can generate MongoDB queries from natural language questions, transforming how users access NoSQL databases. By leveraging AI and language models, this solution allows business users to query MongoDB data through conversational English instead of code. It connects to MongoDB with PyMongo, generates queries with LangChain and Bedrock, retrieves and formats results into natural language answers.

Vcinity’s data movement and remote data access solutions enable enterprises to build continuous data pipelines that provide secure, performant access to distributed data. By extending high-speed networking protocols over wide area networks, Vcinity allows AWS services to operate on remote data as if it were local, reducing data transfer costs and latency. This enables real-time analytics, AI/ML model training, cloud migrations, and other use cases.

Uptycs and AWS Systems Manager integration provides automated, consistent deployment of Uptycs sensors across Amazon EC2 instances. This enhances security by ensuring full coverage, reducing misconfigurations, and streamlining management. Uptycs is an AWS Specialization Partner offering cloud-native application protection and endpoint detection and response. The integration leverages AWS Systems Manager’s capabilities for centralized instance management.

Cisco Multicloud Defense is a highly scalable, on-demand as-a-service solution that provides cloud-native and flexible security to your multicloud infrastructure. It unifies security controls across cloud environments, protects workloads from multiple directions, and drives operational efficiency with automation and orchestration of cloud-native constructs. Cisco Multicloud Defense consists of two major components: Multicloud Defense Controller and Cisco Multicloud Defense Gateway.

Verana Health leverages an exclusive real-world data network and AI-enhanced data engine to transform healthcare data into curated, disease-specific data modules called Qdata. This powers Verana’s analytics solutions for real-world evidence generation, clinical trials, quality reporting, and registry data management to enhance patient care and quality of life. Through AWS Data Exchange and Amazon Redshift, Verana offers life sciences customers easy, convenient access to high-quality clinical real-world data for research.