Tag: AWS Solution Provider 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.

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.

Many companies use online databases for talent sourcing, while others prefer more traditional means such as referrals or networking. Quantiphi’s cloud-native data platform facilitates the convergence of talent and recruiter performance data to provide crucial insights into the talent acquisition process. Explore the critical aspects of Quantiphi’s serverless, fully-managed ETL pipeline along with the benefits of the centralized lake house solution built on AWS in helping talent acquisition companies.

Federated learning is a distributed machine learning technique that doesn’t require data to be centralized, and it doesn’t disclose data to other parties while building the model. Learn how DOCOMO Innovations focuses on federated learning, and particularly vertical FL because it has potential to get better model performance by collaborating with other data providers. DOCOMO Innovations has been investigating the VFL algorithm and its implementation on AWS for real-world scenarios.

Event-driven architecture makes building cloud applications easier, especially applications required to create, detect, consume, and react to multiple events in real time. Learn how DXC Technology helped a customer in the energy industry collect and push events from electricity meters using event-driven architecture. When application complexity increases, this event-driven approach provides better scalability, fault tolerance, and faster development.

Blockchain-based tokenization has tremendous potential to help businesses reach new customers due to the trust, fractionalization, and financial inclusion promoted by blockchain. Learn how HCLTech can help businesses simplify the tokenization journey with OBOL, a no-code/low-code, highly scalable, cost-effective, and easy-to-integrate tokenization platform that is architected to deploy on AWS. OBOL provides business users with a rich interface where they can create and use custom tokens.