Tag: AWS Partner Solutions Architects (SA)

Environmental, social, and governance (ESG) initiatives are gaining traction, but companies often struggle to measure progress. The Science-Based Targets initiative (SBTi) offers clearly-defined greenhouse gas emission reduction targets aligned with global climate goals. Choosing the right tools, like the Adonis carbon management platform from eCloudvalley, is critical for data integration, effective tracking, and sustainability strategy optimization on this journey.

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.

AWS Backup simplifies policy-based data protection at scale, and observability offers insights into the backup process for monitoring, issue detection, troubleshooting, and optimization. This ensures backup dependability, efficiency, and security. CloudQuery enables managing and visualizing AWS Backup across accounts, including backup health, configuration, and protected resources to facilitate building a robust compliance posture.

MemVerge Memory Machine Cloud (MMCloud) enables running bioinformatics pipelines cost-effectively on Amazon EC2 Spot instances. It seamlessly integrates with Nextflow pipelines through the nf-float plugin and simplifies migrating on-premises pipelines to the AWS cloud. Learn how Columbia University and MDI Biological Laboratory leveraged MMCloud to run intensive genomic analyses at 50-80% lower cost by utilizing spot instances.

Data observability enables monitoring, understanding, and troubleshooting data pipelines to ensure smooth and efficient workflows. By tracking metrics like lineage, volume, and schema, data engineers can quickly identify issues, optimize performance, and make informed decisions. TCS outlines an approach using AWS services for event ingestion, aggregation, and visualization to address observability challenges.

ADP provides cloud-based human capital management solutions to over 1 million clients in 140 countries. Using an active-active multi-region architecture on AWS, ADP built a highly available and resilient Voice of Employee application to collect employee feedback throughout the workforce lifecycle. The multi-region deployment meets availability goals and leverages AWS services to enable rapid disaster recovery.

Symmetry Systems DataGuard is a data security posture management solution to enhance protection of sensitive data in AWS environments. It seamlessly integrates with AWS services to discover where sensitive data resides, map permissions, and identify risks—all without extracting data. Overall, the combination of AWS security services and Symmetry Systems DataGuard enables organizations to securely unlock the full potential of the cloud.

The evolution of embedded and invisible banking has led to complex integrations between financial organizations and third-party platforms. To simplify identity management across business partners, organizations are investigating identity-as-a-service solutions using blockchain. Capgemini can help implement embedded and invisible banking by leveraging Amazon Managed Blockchain to manage decentralized identities. This provides a single immutable identity for users that scales across sub-units and partners.

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.

As systems generate increasing data, making sense of it is critical. Application logs are unique and not standardized. Leidos addresses logging issues using the Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake via the Leidos OCSF Integration Suite (LOIS), which bridges applications to generate OCSF-compliant messages and ingest them into Amazon Security Lake for analysis and visualization.