Category: Learning Levels

Introducing the AWS Partner Profitability Framework, an intuitive and reliable way to maximize business value with the AWS Partner Network (APN). The AWS Partner Profitability Framework optimizes the partner journey to broaden the value and deepen expertise across various business models. According to a 2022 study conducted by Canalys, partners with a breadth of offerings can achieve a $6.40 multiplier per $1 AWS sold. 

New AWS research reveals that over 90% of customers plan to engage AWS Partners for generative AI deployment in the next 3 years. This comprehensive study of 1,000+ respondents across 24 industries provides insights into customer adoption patterns, buying journeys, and strategic priorities in the rapidly evolving generative AI landscape.

In today’s cyber threat landscape, a robust incident response plan isn’t just a nice-to-have—it’s critical for businesses of all sizes. AWS Security Incident Response Specialization Partners help AWS customers with incident response through 24/7 monitoring, investigation, containment, and remediation guidance, backed by AWS security experts.

Apiphani provides services and solutions to help organizations industrialize their data delivery and enable data-driven business through data pipeline deployment, Data Product delivery, and value scaling and realization. The approach covers technology, ways of working, and cultural changes to deliver reliable, right data for BI, ML, AI, and digital products. Companies following these methods can realize performance improvements in the near term as well as get on a path to be data and AI driven for years to come.

Enterprises face challenges with complex workflows and siloed systems that hinder efficiency and decision-making. Automation Anywhere’s Automation Co-Pilot, powered by Amazon Q Business, offers a revolutionary solution through conversational automation. This AI-powered assistant seamlessly integrates with company systems to provide contextual knowledge and automate tasks through conversational interactions.

Many enterprises still rely on the Adabas database and Natural programming language for critical workloads, facing rising license costs and a shrinking talent pool. To reduce reliance on these aging technologies and enable digital transformation, companies are modernizing to AWS with IBM ModernSystems accelerator. The division offers automated refactoring of Natural code to Java/C# and replatforming to execute Natural on Windows, along with migrating Adabas databases to modern relational databases.

Discover how Publicis Sapient’s new AI-powered marketing solution combines margin prediction and offer generation capabilities on AWS to revolutionize campaign creation. Using Amazon Bedrock and advanced LLMs, marketers can now generate data-driven, personalized campaigns in minutes instead of days, while accurately predicting campaign performance and optimizing ROI.

This blog presents AWS Partners with an example architecture of an anti-fraud solution that combines Amazon Neptune’s graph capabilities with Amazon Bedrock’s generative AI. By showcasing this innovative architecture for near real-time fraud detection using Graph Neural Networks and natural language processing, the post aims to help partners rapidly develop customized demos and proofs of concept for customers battling increasing cyber fraud across various industries.

By Matthijs ten Seldam, Global Program Manager – AWS Ambassador Program The AWS Ambassador Program is a vibrant worldwide community of AWS experts, known as AWS Ambassadors, from AWS Partner Network (APN) Services and Software Partners. AWS Ambassadors are recognized as influential AWS professionals in supporting and driving their organization’s AWS proficiency and sharing their […]

Renova Cloud collaborated with a leading EV manufacturer to transform their Advanced Driver Assistance System (ADAS) using Amazon EKS. Renova’s RenoCube solution addresses critical challenges, including scalability, cost optimization, and rapid deployment, by leveraging advanced AWS technologies. With a 90% reduction in infrastructure costs and data processing times reduced from days to 2.5 hours, this solution enables a robust, scalable ADAS system to support global expansion.