Tag: AWS Solution Provider Partners

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.

The concept of DataOps was born with the goal of solving issues prevalent in old, complex, and monolithic architectures, and to optimize data pipeline architectures. To meet the demand, Cognizant and AWS jointly built the DataHyperloop solution which provides a real-time view of DataOps and demonstrates automation of continuous integration, delivery, testing, and monitoring of data assets moving across the data lifecycle on AWS.

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.

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.

Servian Cloud Foundation helps organizations build an automated, secure, compliant, and fully customizable account and infrastructure foundation on AWS. It’s a well-architected and opinionated blueprint built from Servian’s expertise and experience helping customers address security, compliance, DevOps, and IaC adoption challenges. Servian Cloud Foundation significantly reduces time to adoption for building solutions at speed and scale, while decreasing risk and putting in place consistent best-practice processes.

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.

Learn about a multi-regional first-line of support solution Chaos Gears put together using a serverless application running AWS Lambda under the baton of AWS Step Functions to relieve a customer’s engineers from some of their operational burdens. The approach described in this post can be adapted to serve other needs or cover different cases, as AWS Step Functions’ visual workflows allow for a quick translation of business requirements to technical ones.

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.