Category: Artificial Intelligence

In a recent webinar, Slalom and AWS showcased the incredible potential of chat-based enterprise search powered by AWS generative AI services like Amazon 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 Amazon Bedrock empower businesses to build intelligent chat-based interfaces that allow employees to interact with company data conversationally.

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.

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.

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.

Traditional preventive measures mainly focus on promotion of healthcare benefits and lack methods to process huge amounts of data. Cognizant’s Patient Health Insights Suite is a cloud-based, multi-user analytics and insights platform for clinical and real-world evidence data. It provides a suite of interactive self-service applications for comprehensive visual, exploratory, and predictive/prescriptive analyses of patient care and health insights by means of advanced AI algorithms.

A common challenge faced by many companies involves the requirement to enhance the clarity and availability of internal documents. These scenarios present significant hurdles for support teams, business users, and new members who often encounter difficulties locating the relevant documentation. This post discusses how Infosys built an enterprise knowledge management assistant using generative AI technologies on AWS.

Hear from Ross Humphrey, Rebura’s Head of Software Development, about their journey to achieving the SaaS Competency by leveraging various programs such as SaaS Discovery and SaaS Competency On-Ramp. We’ll also review a SaaS on AWS customer story for sports technology company ai.io, dive deep on key lessons learned, and learn how other SIs can quickly build AWS SaaS capabilities to better serve customers.

Data is transforming the manufacturing industry with use cases that reach from real-time performance monitoring of machines and equipment to optimized planning of workforces, tasks, and production configurations. Learn how the Siemens Industrial Edge enables users to easily and securely deploy models developed on AWS to the edge. We’ll also demonstrate how AWS services can be used to orchestrate the packaging and provisioning and deployment using Siemens Industrial Edge capabilities.