Tag: Artificial Intelligence

Enterprise data warehouses are complex and consist of database objects that need to be modified to reflect the changing needs of business, data analytics, and machine learning teams. In this post, learn about an approach to managing the evolution of enterprise-scale data warehouses based on the experience of Deloitte’s Data and AI global practice teams. The declarative tool developed by Deloitte that can automatically generate DDL statements to align Amazon Redshift’s state to an approved baseline configuration.

Dataiku orchestrates the entire machine learning lifecycle and makes it accessible to data scientists and analysts alike. With deep integration with AWS AI tools, Dataiku enables users to augment their analytics workflow with pretrained NLP and computer vision models. Learn how you can use Amazon Comprehend and Amazon Rekognition plugins on Dataiku Data Science Studio (DSS) to build a simple workflow of NLP and computer vision use cases, respectively.

Montoux’s next-generation decision science platform for insurers uniquely combines actuarial and data science in its software, providing a modern, flexible, and sophisticated alternative to legacy actuarial software. Learn how the AI-driven model replication module is specifically developed to support an insurer’s transition to cloud and reduces the time, cost, and effort required to migrate to a new platform.

Operationalizing machine learning models can be a challenge due to lack of established ML architecture and its integration with the existing landscape. DataRobot integrates with AWS and provides the flexibility for a model trained in DataRobot to be deployed on AWS services with centralized model governance, management, and monitoring. Learn how the DataRobot AutoML platform orchestrates the complete model development and training lifecycle.

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.