Tag: AWS Service Delivery Partners

Energy and process manufacturers are looking for mechanisms to predict asset breakdowns well before actual asset failure. Learn how Accenture Industrial Intelligence Suite addresses these challenges by using a strong data foundation, collecting and processing data from a variety of assets at scale. Accenture Industrial Intelligence Suite employs AI/ML models along with scalable AWS services to mitigate unplanned downtime, optimize asset performance, and improve asset reliability.

Amazon QuickSight is an easy-to-use, cloud-powered analytics business intelligence tool that provides insights and analytics capabilities. Experts from AWS and Quantiphi, an AWS Premier Tier Services Partner, discuss an approach to assist users in leveraging Amazon QuickSight as an enterprise-wide BI tool. The entire process, creation of data sources, datasets, analysis, and eventually dashboards, can be automated using AWS CodePipeline.

Learn how Accenture engineered a cloud-native SaaS learning platform that enables users to succeed in fast-paced environments. Take a look at why quick adoption is essential for an organization to acquire new knowledge, adapt mindsets, and develop new capabilities required to deliver changing business initiatives in a timely way. Accenture’s Future Talent Platform enables general or highly focused training to guide customers, partners, or employees to get the most out of new technologies or programs.

A digital twin is a virtual representation of a physical system that is dynamically updated with data to mimic the structure, state, and behavior of the physical system. Explore the results of MHP’s efforts working with AWS to build and deploy a Level 4 digital twin for an electric vehicle, as a means for monitoring and analyzing batteries of EVs utilizing live data, fleet knowledge, and AI. We’ll share a use case of battery health and performance management by learning driver behavior and battery characteristics from the fleet.

With more than 100,000 AWS Partners across the globe, how do you find the right partner for the right job? AWS Specializations help customers find a short list of trusted cloud partners with diverse expertise. Learn about the four programs that provide technical validation based on AWS services, workloads, use cases, industries, and managed services: Service Delivery, Service Ready, Competency, and Managed Service Provider (MSP).

Traditional or click-based chatbots are relatively simple and provide a predetermined set of basic information or responses for users to choose from. Conversational AI bots, on the other hand, are more sophisticated and are best suited for enterprises with enormous data, ensure faster response time, and are available 24/7. Learn how to deploy bots within minutes using Infinity Botzer from LTIMindtree, and how this platform can facilitate comprehensive bot lifecycle management.

Feature engineering is a critical process in which data, produced by data engineers, are consumed and transformed by data scientists to train models and improve their performance. Learn how to accelerate data processing tasks and improve collaboration between data science and data engineering teams by applying MLOps best practices from Data Reply and leveraging tools from AWS. Data Reply is focused on helping clients deliver business value and differentiation through advanced analytics and AI/ML on AWS.

Getting the same performance on open-source databases as you get on commercial-grade databases can be challenging. EPAM’s database assessment tool, migVisor, can play a key role in the overall migration methodology. Learn how using migVisor in combination with other AWS assessment solutions and services can help you gain a holistic view of your environment and make informed decisions to determine the feasibility of migrating your databases and correlated applications to AWS.

For pharma leaders, medtech, and health tech innovators alike, the vision of connected health hinges on organizations’ ability to stay in tune with healthcare players’ preferences, perceptions, and expectations. Doing so helps companies create seamless customer pathways and proactively model, predict, and respond to the many outcomes of a changing healthcare landscape. Learn how ZS collaborated with AWS to build an intelligent life sciences platform called ZAIDYN.

Organizations realize the value of data and analytics for their businesses, but not all of them have been successful in defining a mature analytics vision and strategy. By cross-leveraging experience in process management, safeguarding data, and rich analytics practices, Genpact has developed an analytics maturity assessment framework known as the Analytics Maturity Meter (AMM). Learn how this solution evaluates a company’s current capabilities in data, process, technology, talent, and enterprise leadership.