Tag: AWS MSP Partner Program

Over the years working with AWS Partners, we have learned that having a focused AWS practice helps partners be more successful in supporting our evolving mutual customer base. Learn how a dedicated AWS practice can be essential in getting the most out of your AWS Partner Network (APN) involvement, especially if your organization is on the Services Path. We’ll describe the five stages of a successful partner practice and offer insights into how to optimize your APN resources and benefits.

When migrating on-premises MLOps to Amazon SageMaker Pipelines, customers often find it challenging to monitor metrics in training scripts and add inference scripts for custom machine learning models. Learn how Mission Cloud implemented an end-to-end SageMaker Pipeline to build the workflow of model development to production, accelerating their customer’s computer vision model production process. SageMaker Pipelines is a workflow orchestration tool for building ML pipelines with CI/CD capabilities.

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.

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.

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.

We are excited to highlight 154 AWS Partners that received new or renewed specializations in April for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These specializations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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.