Category: Thought Leadership

Delve into Liveline Technologies and its provision of factory-scale automation for manufacturers. Liveline Technologies swiftly generate AI-based controllers, adjusting equipment parameters in real-time across entire production lines. Learn how it leveraged support from the AWS SaaS Factory team to develop solutions that yield tangible benefits for customers, reducing scrap, waste, and energy usage while enhancing product quality, minimizing unplanned downtime, and boosting productivity.

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 Amazon 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 Amazon Bedrock and Neo4j, you can simplify the knowledge extraction process which can be more complex and manual using traditional NLP libraries.

At AWS, we believe our partners are well-positioned to support specialized customer needs, either through providing consultative support or specialty business applications with integrated generative AI capabilities. This is why we are introducing the Generative AI Center of Excellence (CoE) for AWS Partners. It’s a digital experience open to all partners within the AWS Partner Network (APN). Learn how the CoE delivers optimized learning paths to implement generative AI solutions for customers.

Through the newly-introduced Generative AI Center of Excellence for AWS Partners, we are excited to share perspective on many of these questions. AWS recently sat down for a Q&A session with McKinsey & Company Senior Partner Naveen Sastry to talk about generative AI opportunities and best practices in implementation. Noted in these whitepapers is the $4 trillion of economic value that could be enabled by generative AI, and the Q&A below delves into the direct implications and how companies can capture value.

AWS and the AWS Partner Network (APN) have made strategic investments to empower software providers to create distinctive SaaS solutions. Explore how they cultivate a potent growth strategy through tailored GTM initiatives and facilitate the transition of on-premises customers to modern SaaS offerings. Migrations can be daunting, so we’ll examine success stories of other companies and strategies they’ve employed to face these challenges and thrive in the SaaS landscape.

The ability to accurately share and analyze patient information between different healthcare providers and systems is critical to the transition to patient-centric care. Learn how AWS and Accenture collaborated to build a population-scale research cohort analytics solution called Accenture Health Analytics (AHA) which contains 54 million longitudinal patient records using a range of AWS services. It helps healthcare organizations improve patient outcomes and reduce delivery costs.

Managing an Apache Kafka deployment can be complex and resource intensive, often requiring additional support. Integrating Amazon Managed Streaming for Apache Kafka (Amazon MSK) and CockroachDB in your Kafka deployment enables a plethora of use cases, including real-time analytics, event-driven microservices such as inventory management, and the ability to archive data for audit logging. This post offers a step-by-step guide to integrate Amazon MSK within the CockroachDB platform.