Tag: AWS Premier Tier Services Partners

Noventiq developed uDMS, a smart document management system hosted on AWS serverless architecture that removes the need to manage servers while ensuring scalability, cost-efficiency, and global accessibility. uDMS offers easy document tracking, metadata templating, workflow notifications, version control, and integrates well with other systems. It demonstrates how a serverless architecture can enable rapid deployment and modernization of legacy document management systems.

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.

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.

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.

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.

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.