Tag: Artificial Intelligence

Cognizant is providing consulting and execution services for SAP customers to migrate the SAP landscape from on-premises to AWS, with SAP S/4HANA implementation on AWS combining SAP S/4HANA conversion and migration to AWS in a single step using the Cognizant migration factory called SmartMove. This solution provides a risk-free, comprehensive solution to transform customers’ SAP landscape into one that’s intelligent enterprise-ready.

XAPP AI is an AWS Machine Learning Competency Partner that provides conversational AI solutions empowering the next generation of customer service and rapid ROI. Learn about a conversational self-service (CSS) solution created by XAPP AI and powered by AWS AI services. The solution gives you the ability to provide this level of self-service experience by allowing users to ask natural language questions and get accurate answers from existing corporate knowledge bases.

With exponential increases in the amount of visual data such as images and videos being generated, image analytics is fast becoming a major business driver for many organizations. The Deloitte Image Recognition Framework is a cloud-based image recognition platform leveraging machine learning to automatically distinguish between two images. It helps customers deploy image recognition and analytics solutions and customize it per their business requirements.

Cogito Dialog provides human-aware technology to help professionals elevate their performance. With Cogito’s AI, you can instantly analyze hundreds of conversational behaviors to provide live in-call guidance combined with a real-time measure of customer experience. This post highlights the features and benefits of Cogito Dialog’s integration with Amazon Connect, and explores how the two solutions coupled together provide a powerful start-to-finish solution for your call center.

When it comes to healthcare and patient data, managing and storing data involves some of the greatest challenges of any industry. Disparate input sources, the need for real-time monitoring, and HIPAA data security and regulatory compliance are all necessary to maintain sensitive and personally identifiable health records. Learn how SourceFuse’s hospital ancillary revenue insights solution helps extract, analyze, and generate business insights and KPIs using patient prescription information from thousands of e-prescriptions.

Asset integrity management is a key activity for energy companies, and with recent advances in the field of machine learning, specifically computer vision, there are digital technologies that can enhance customers’ existing workflows and help plan preventative work. Learn how Wipro’s visual inspection and integrity management solution, InspectAI, can help customers deploy a cloud-based solution and transform their inspection process on AWS.

Innovations in AI technologies are yielding novel approaches to automation that fit the Indian market. Lumiq is spearheading such efforts and leveraging deep domain knowledge of the industry and machine learning to help create solutions for the future, today. Learn how Lumiq’s Drishti Document AI, an intelligent document parsing solution built on Amazon Textract, helps optimize and accelerate customer onboarding journeys.

There is broad acceptance that AI and ML will help improve health outcomes for patients, and make healthcare more affordable. Data Science as a Service (DSaaS) from Change Healthcare is a secure, managed, healthcare data science platform that customers can leverage the embedded datasets and load their own datasets to be linked to deliver transformative and compliant insights. Learn how Change Healthcare built DSaaS to address the needs of practitioners developing AI/ML algorithms.

Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.

Organizations that have foresight into their business have a competitive advantage. Advanced analytics that enable foresight have historically required scarce resources to develop predictive models using techniques like machine learning. Traditionally, this is a difficult endeavor, but recent progress in ML automation has made democratization of ML a possibility. Learn about the value of augmenting analytics with ML through the Amazon SageMaker for Tableau Quick Start.