Tag: AWS Well-Architected Partners

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.

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.

Marriott’s CISO Arno Van Der Walt manages cybersecurity through a “human-centered, data-driven, technology-enabled” approach aimed at making security frictionless. Critical partnerships with AWS, Deloitte, and Palo Alto Networks leverage AI/ML to share threat data and empower “impossible” autonomous security. Together, their tri-party services provide an end-to-end platform unifying business and security data to detect threats and enable quick response.

Industry 4.0 increases product complexity and customer expectations, challenging industrial companies. Tech Mahindra’s Engineering on Cloud – PLM solution leverages AWS to help manufacturers centralize product data management and accelerate innovation. This cloud-native solution optimizes costs and provides enhanced security, scalability, and availability with faster time-to-market and streamlined collaboration.

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.

Discover how a collaboration with AWS SaaS Factory revolutionized nClouds’ approach to SaaS and empowered its team to amplify its capabilities. Leveraging SaaS Factory’s technical knowledge equipped nClouds with the assurance and actionable insights needed to conquer the intricacies of the SaaS cloud landscape. For customers like OperationsRx, aligning with a SaaS Competency Partner like nClouds meant tapping into a reservoir of expertise, strengthened by years of experience from industry-leading experts.

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.

MLOps applies DevOps principles to machine learning, enabling organizations to efficiently develop, deploy, and manage models at scale. Eviden’s 10-step MLOps assessment examines existing models, establishes governance, creates self-service access, scales data analysis, registers models, enables feature re-use, provides data access, tests models at scale, deploys models, and enables API access. This end-to-end approach streamlines model creation and deployment while ensuring governance and consistency.

Many organizations struggle with data silos and manual processes. Apps Associates helps companies build modern data platforms using Amazon Redshift, which consolidates data sources, reduces manual effort, and unlocks valuable insights. The Apps Associates accelerators quickly integrate data from ERP/CRM systems into Redshift to enable advanced analytics while driving cost reductions and revenue growth.

CyberCX built an AWS serverless data lake and data masking solution to enable using production data securely in non-production environments. The modular, AWS-native solution combines AWS services to mask sensitive data in near real-time while retaining data utility. This allows thorough testing and confidence before deployment to production, improving data security and accelerating time to market.