Tag: AWS Public Sector Partners

Sports organizations possess a vast amount of data about fans which can be used to generate actionable insights. The ability to send personalized marketing to fans increases satisfaction and loyalty while enabling the team to cross-sell and drive revenue. Learn how Slalom‘s fan engagement data platform accelerator ingests and presents fan data in a centralized layer and empowers organizations to focus on segmentation and insight. The platform is based upon Slalom’s experience with a Premier League football club.

One of the most rigorous activities in the aviation industry is the aircraft’s operational maintenance. It’s a complex analytical task that’s often performed manually. Learn how Capgemini developed a solution called Lifecycle Optimization for Aerospace which aims to accelerate adoption of circular economy practices within the aviation industry. Built on AWS, it analyzes parts documentation and inspection processes, allowing optimization of its lifecycle by turning unstructured usage data into digital assets.

Serverless and event-driven architecture enables organization to reduce time to market with faster development, build scalable solutions, optimize IT infrastructure costs, and reduce outages and deliver a highly secure solution. Learn how a legacy application can be modernized using several AWS services to reduce costs, increase reliability and security, and provide agility and faster time to market.

In a recent webinar, Slalom and AWS showcased the incredible potential of chat-based enterprise search powered by AWS generative AI services like HAQM Bedrock. We’re excited to share key takeaways and a more in-depth exploration of the transformative landscape that chat-based search creates. Learn how technologies like HAQM Bedrock empower businesses to build intelligent chat-based interfaces that allow employees to interact with company data conversationally.

Geospatial ETL pipelines prepare data for business analysis and insights, enabling leaders to make informed decisions. Learn how to migrate a geospatial pipeline to AWS Step Functions and AWS Batch to simplify pipeline management while improving performance and costs. Migrating to AWS Batch and AWS Step Functions has transformed the way WSP Digital handles data processing and orchestration, enabling streamlined and automated workflows.

Many enterprises have significant portions of their workloads running either as batch or online but still operating on mainframe technologies. Delve into the complex landscape of modernizing mainframe applications and migrating them to AWS, exploring the significant challenges that organizations face and how HCLTech’s Advantage Modernize Framework overcomes these challenges and paves the way for a successful and efficient transition to AWS.

AWS Health Events are notifications published to the AWS Health Dashboard and sent via email to account contacts, and they are crucial when managing AWS environments. Learn how Ensono’s AWS Health Event Centralization Platform captures, filters, prioritizes, notifies, and tracks the remediation of AWS Health notifications across its customer base, ensuring critical managed infrastructure and applications remain secure and available.

Virtusa helps numerous clients migrate their Pega applications from on-premises to Pega Cloud running on AWS. Virtusa identifies opportunities using its proven Triple-R methodology (Recon, Refactor, Re-platform) to reduce the accumulated technical debt while seamlessly migrating to Pega Cloud. This migration is generally part of the first phase of a client’s modernization journey that continues with a phase-wise approach to remove technical debt and iteratively modernize the application.

Multi-account strategy is an architectural pattern in which your workloads and services are distributed across multiple accounts. Using a multi-account strategy enables a well-architected platform that’s scalable and secure. Learn about the thought process and frameworks DXC Technology adopts in building a secure, resilient, and scalable enterprise landing zone to support your multi-account strategy and business journey on AWS.

Neo4j is a graph data platform that, together with HAQM Bedrock, offers a compelling value add to any enterprise. Learn about the knowledge retrieval and extraction processes and review a couple of retrieval augmented generation (RAG) application architectures. Using HAQM Bedrock and Neo4j, you can simplify the knowledge extraction process which can be more complex and manual using traditional NLP libraries.