Tag: Managed Service Provider

The continuous interaction between humans and animals in slaughterhouses can lead to animal welfare deviations which can occur in different forms. Learn how Deloitte’s AI4Animals solution is capable of detecting these welfare deviations in order to improve the conditions of animals in slaughterhouses. This is accomplished by using AWS Panorama, a machine learning appliance and software developer kit (SDK) that allows organizations to bring computer vision to their on-premises cameras.

The HCL Augmented Network Automation (ANA) Platform takes self-organizing networks to the next generation. It features a closed-loop network automation environment that supports multi-vendor, multi-technology cellular network deployments. Learn how HCL ANA on AWS enables telecom service providers to simplify network management complexity and improve end-customer satisfaction, as AI-based automation and operation is becoming a crucial component for all tiers of cellular networks.

Organizations from domains like financial services and pharmaceuticals have long embraced virtual desktop infrastructure (VDI) technology for security and compliance reasons. With digital becoming a mainstream part of key business processes, other business domains are embracing remote workspace solutions as well. Wipro virtuadesk is a mature enterprise VDI management solution that provides this capability.

We are excited to highlight 60 AWS Partners that received new designations in December for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations 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.

Increasing penetration of analytics in the life sciences industry is expected to drive significant growth for businesses in the coming years. Learn about Accenture’s life sciences data and analytics accelerator which enables customers to respond to these challenges and use data for their competitive advantage. Particular focus is given to the commercial domain and use of analytics to increase customer engagement and optimize sales and marketing.

Utilities need a solution to manage devices on the field, whether they are for the management of gas, water, electricity, waste, or other. IBM has developed BEAM IoT to address these needs with a solution that, in addition to offering modules and functionalities specific to each segment, has been designed to be open and modular. It can be quickly extended to new business use cases, new regulatory requests, new types of IoT devices, and new data analysis requirements.

This post explains the challenges faced by customers running SAP ECC environments on premises and how IBM can accelerate their S/4 HANA transformation journey to AWS. The IBM Accelerated Move Centre (AMC) delivers a cost-effective approach to SAP S/4HANA transformations, enabling customers to migrate and modernize, utilize existing investments, reduce costs, and embrace cloud innovations. IBM has nearly 50 years of experience in the industry, and has completed more than 6,500 SAP projects.

When implemented in legacy on-premises systems, business rules tend to be rigid in nature and impact business agility. By using a combination of AWS managed services, Capgemini can build a cloud-based rules engine that can be scaled to increasing data volume, easily configured, and quickly accessed. This enables organizations to be completely agile in developing new business rules, or updating/retiring business rules, without relying on IT.

Customer experience is at its best when a customer perceives the experience offered is unique and aligns to their preferences. The need to engage, at a very personal level, becomes key. Learn how Capgemini’s data and analytics practice implements customer intelligence platforms on AWS to help companies build a unified data hub. This enables customer data to be converted into insights that can be used for reporting and building AI/ML predictive analytics capabilities.

There is a huge opportunity to move mainframe applications to the cloud, allowing organizations to leverage benefits like cost reduction, improved agility, and the ability to unlock data to drive insights. Learn how the Atos SyntBots solution accelerates the testing of mainframe migration projects. We’ll also explore how establishing data and functional equivalence between the mainframe and migrated systems is made comprehensive and accelerated using this approach.