AWS Partner Network (APN) Blog

The AWS Partner community is energized about the potential of generative AI, and we recognize there are unique considerations for bringing these applications into production for commercial use cases. Ruba Borno, VP, WW Channels & Alliances at AWS, shares why AWS Partners are an integral part in ensuring customers realize the full value of generative AI offerings. Working together, AWS and partners will be guiding the development of business innovations and solutions for customers of all sizes and industries.

We’re excited to share a preview of the enhancements we’re making to partner programs and tools to deliver greater customer value and partner profitability—including making it easier to leverage programs by aligning them to your business models and scaling AWS Marketplace to expand your customer reach and accelerate sales. The AWS Partner experience transformation is aimed towards helping you deliver different levels and types of value to customers—to win more, win bigger, and win faster.

Businesses must have an automated transformation mechanism and experienced guide to help them modernize seamlessly. Impetus Technologies created its automated cloud transformation accelerator, LeapLogic, to enable faster migration across a range of legacy data and analytic software. Its unique intelligent pattern-based transformation goes beyond line-by-line translation. LeapLogic eliminates unpredictable variables while transforming legacy business code, logic, and workloads to AWS in an automated environment.

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 Flutura’s solution, Cerebra, addresses these challenges by using a strong data foundation, collecting and processing data from a variety of assets at scale. Cerebra employs AI/ML models along with scalable AWS services to mitigate unplanned downtime, optimize asset performance, and improve asset reliability.

Securing digital communications across omnichannel depends on the tools used by the organization. Kiteworks delivers a dedicated Private Content Network (PCN) to unify, track, control, and secure the private information interchanged between organizations and their trusted partners like consultants, customers, and suppliers. Learn how Kiteworks uses AWS for infrastructure provisioning, data protection, and automation of its PCN.

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.

Learn how Rocketlane built its customer onboarding SaaS platform on AWS using the platform’s broad tools and services that helped the team innovate quickly, get support from programs such as AWS SaaS Factory, and go-to-market to reach customers through AWS Marketplace and AWS Activate for startups. In this Q&A with Deepak Balu, co-founder and CTO at Rocketlane, you’ll learn insights from Rocketlane’s journey that can help other organizations planning to adopt SaaS delivery model.

Datadog provides a unified view into the health and performance of your applications and infrastructure across both on-premises and AWS environments. Learn how to accelerate your migration by using Datadog’s observability capabilities to easily track every stage of migration to AWS. We’ll provide an overview of Datadog’s ability to optimize resources for migration, monitor availability of applications, and measure key business metrics around service-level objectives.

The AWS Cloud Development Kit (AWS CDK) allows developers to define their infrastructure as code using familiar programming languages. It simplifies the process of building, deploying, and managing infrastructure in AWS, making it a popular choice for organizations that want to improve their agility, reliability, and scalability. Learn how Attini helps you package your code, configuration, and deployment instructions into immutable artifacts. The Attini Framework will then automatically run your deployments for you.

A digital twin is a virtual representation of a physical system that is dynamically updated with data to mimic the structure, state, and behavior of the physical system. Explore the results of MHP’s efforts working with AWS to build and deploy a Level 4 digital twin for an electric vehicle, as a means for monitoring and analyzing batteries of EVs utilizing live data, fleet knowledge, and AI. We’ll share a use case of battery health and performance management by learning driver behavior and battery characteristics from the fleet.