AWS Partner Network (APN) Blog
Category: Artificial Intelligence
Creating the Right Patient Outcomes with Amazon HealthLake and Accenture Health Analytics
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.
Cognizant’s Patient Health Insights Suite is a Scalable Platform for Improving Healthcare
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.
How Infosys Built an Enterprise Knowledge Management Assistant Using Generative AI on AWS
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.
Rebura’s SaaS Competency Journey: Delivering an AI-Powered SaaS Solution for ai.io
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.
Automated Cloud-to-Edge Deployment of Industrial AI Models with Siemens Industrial Edge
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.
Amplifying Business Process Automations with UiPath and Amazon SageMaker
Organizations are increasingly turning to intelligent automation technologies to streamline their business processes and improve efficiency. Learn how UiPath Business Automation Platform and Amazon SageMaker can be integrated to help businesses automate complex processes, improve decision making, and drive innovation by leveraging the power of AI. The solution allows customers to bring machine learning inference from SageMaker directly into their business automation.
Driving Supply Chain Operations at Speed with IBM Consulting Supply Chain Ensemble on AWS
IBM Consulting and AWS have collaborated to co-create a supply chain framework after analyzing and refining 100+ use cases, focusing on risk identification and management of exceptions. Learn how IBM Consulting Supply Chain Ensemble on AWS helps customers overcome common challenges and deliver efficiency as well as optimization within their supply chains. IBM is an AWS Premier Tier Services Partner that helps customers harness the power of innovation and drive their business transformation.
Implementing an Operational Data Mesh with Palantir Foundry on AWS to Transform Your Organization
Data architectures and strategies continue to respond to the need for discoverability and consumer desire to directly connect with producers. Data mesh is one such approach and provides a methodology for how organizations can organize around data domains by delivering data as a product. Learn how Palantir Foundry runs on AWS to help customers deliver and transform their data architectures through such an approach while leveraging and building on existing investments.
Unlocking Innovation: A Closer Look at Deloitte’s Generative AI Solutions on AWS with Amazon Bedrock
The transformative power of artificial intelligence (AI) is something Amazon and Deloitte know well. With over 40 years combined experience in the AI space, these leading organizations are innovating and using AI technologies to change how businesses work, grow, and thrive. The journey continues with Amazon Bedrock, the easiest way to build and scale with foundation models (FMs), and in this post we’ll share how Deloitte can help customers benefit from AWS’s generative AI offerings.
Accelerating Time-to-Compliance in HCLS Through Automated FDA Forms Processing with AI on AWS
In the healthcare and life sciences (HCLS) sector, companies are required to strictly comply with regulatory statutes. It’s crucial to ensure products and services are not just developed but also manufactured and distributed in accordance with the most stringent standards. Learn how Provectus aided PSC Biotech in integrating AI/ML and automation into the document processing pipeline, a critical step towards achieving its objective of delivering the highest standard of regulatory compliance services.