Tag: Artificial Intelligence

Industrial data exists in different components and systems, in various formats, and with separate access protocols. To harness this data and benefit from the synergies of system-wide interoperability, businesses must effectively digitize shop floor data. Learn how Amorph Systems’ SMARTUNIFIER software complements AWS services to deliver leading-edge connectivity for Industrial Internet of Things (IIoT). Amorph Systems is a leading developer of software technologies and products for industrial connectivity.

Some contact center platforms don’t offer native integrations with AWS AI/ML services. Consequently, customers must learn to live with a “just enough” contact center until their license agreements expire, look for other options beyond AWS, or wait for the platform provider to build the integrations in future releases. Learn how Universal Speech Solutions (also known as Unispeech) created AWS AI/ML plugins that enable the non-native integrations.

Smart manufacturing and aftermarket services both require a new approach to connected device maintenance, recall, and warranty value chains. To really succeed, manufacturers need to automate the end-to-end processes connecting devices and users to the extended value chain. Learn how the seamless combination of Pegasystem’s low-code intelligent automation and AWS IoT can provide manufacturers with the most compelling digital transformation platform.

Using state-of-the-art technology, user-defined events, and identification of operational exceptions, TaskWatch is redefining the way Cincinnati/Northern Kentucky International Airport (CVG) gains efficiencies through automation. Adding TaskWatch’s computer vision platform that works in conjunction with AWS Panorama, the Airport sees, adds, and explores distinct use cases for advanced AI. TaskWatch is leading the way for continuous improvement in capacity management and productivity.

Today’s global marketplace relies heavily on contact centers for streamlining, maintaining, and maximizing customer service and sales at scale. Explore the role of machine learning solutions in transforming contact centers and the key aspects of Quantiphi’s contact center intelligence (CCI) solution built on AWS. Learn how it helped a U.S.-based consumer healthcare organization address contact center challenges by using custom artificial intelligence and ML techniques.

Tagging helps organizations optimize expenses while improving the ROI of their cloud deployments and providing an effective means of allocating expenses to the correct cost centers. Tagbot is a simple tool that uses AI/ML to expose the tag coverage in your AWS environment. Built by TrackIt and available on AWS Marketplace, Tagbot addresses the business impact associated with how well-tagged your infrastructure is.

Leveraging data to make better decisions is critical for driving optimal business outcomes. Palantir empowers organizations to rapidly extract maximum value from one of their most valuable assets—their data. Palantir Foundry solves for the real-world application of AI, and not how it works in the lab. Effective AI is impossible without a trustworthy data foundation, a representation of an institution’s decisions, and the infrastructure to learn from every decision made.

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.