AWS Partner Network (APN) Blog

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Unlocking Efficiency: Best Practices for AWS Partners Applying for an AWS Competency

To grow with AWS, partners can pursue Competency designations which validate an organization’s expertise through rigorous assessment by AWS experts. By meeting requirements around projects, certifications, and capabilities, partners can demonstrate their proficiency and earn an AWS specialization badge in specific industries, use cases, or workloads. Attaining an AWS Competency distinguishes partners, but the preparation process also transforms practices.

How Coalfire Drives FedRAMP Compliance Without Sacrificing Cloud Deployment Speed

Complying with FedRAMP poses challenges for DevOps teams, including slower deployment speeds, process overhead, and complex AWS GovCloud requirements. To optimize velocity while maintaining compliance, organizations can shift security controls left, automate workflows, and architect secure in-boundary pipelines. With the proper frameworks, teams can increase deployment frequency and reduce change failure rates in FedRAMP environments.

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Transforming Customer Service with Rapyder’s Generative AI-Powered Call Agent Analyzer

Rapyder’s Call Agent Analyzer uses generative AI on AWS to revolutionize call center operations. It efficiently processes multilingual audio, summarizes calls, analyzes script adherence, and structures insights into actionable data. This solution helps businesses enhance customer satisfaction through data-driven call agent performance evaluation and training. As an AWS Partner, Rapyder provides cutting-edge cloud solutions that are reshaping industries like customer service.

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How Infosys is Reimagining Enterprise Solutions with Generative AI on AWS

Infosys is leveraging AWS generative AI capabilities like Amazon Bedrock and AWS Trainium to enhance its enterprise solutions. For example, Infosys Personalized Smart Video uses Amazon Bedrock to create rich, dynamic video content, while Infosys Cortex applies generative AI to analyze call transcripts and improve customer engagement. Overall, Infosys is rapidly adopting AWS’ flexible and scalable generative AI services to boost automation, productivity and user experience across its portfolio.

How to Scale for Global SaaS Growth with a Skyflow Data Privacy Vault on AWS

AWS SaaS Factory and Skyflow break down what data residency is and why it’s often a barrier for businesses to scale globally. Explore how Skyflow Data Privacy Vault works and how it helps businesses overcome this barrier. To illustrate the practical application of this approach, we’ll highlight a customer story and real-world example of a company that successfully addressed its data residency needs with a scalable SaaS solution based on Skyflow Data Privacy Vault.

Scalable, Secure, and Efficient AWS Cloud Operations with Crayon’s Landing Zone Accelerator

Crayon’s customizable landing zone accelerator automates setup of a secure, scalable AWS environment aligned to best practices. It establishes foundational accounts, applies baseline security controls, and integrates AWS services across the organization to drive cloud adoption for companies migrating to AWS while also improving governance for existing customers. Crayon guides customers through the landing zone build and subsequent workload migration, providing automation kits to speed deployments.

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Reducing Inference Times by 87% for Darwinbox’s Talent Search Engine Using AWS Inferentia

Darwinbox wanted to reduce the time to infer resumes against job descriptions using PyTorch models. AWS Premier Partner Minfy helped them leverage Amazon SageMaker and AWS Inferentia to compile models with Neuron SDK and deploy them, achieving 87% faster inference without retraining. Key steps were compiling models with the Neuron SDK, extending SageMaker containers, using Inference Recommender to optimize configurations, and sending requests in mini-batches.

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Managing ESG for Private Equities and Their Portfolio Companies with Gardenia Technologies on AWS

Private equity firms are addressing climate change through environmental, social, and governance (ESG) policies, but data gaps hinder progress. Obtaining consistent emissions data across portfolios is difficult. Gardenia Technologies’ carbon accounting solution on AWS helps private equity groups capture, analyze, and report ESG data at scale. The tool connects to data sources, standardizes outputs, and surfaces insights through interactive dashboards to track progress and guide strategies.

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AWS AI Backend Developed by Avahi Enables WittGen Biotechnology to Help Fight Cancer

Avahi Technologies and AWS teamed with biotech startup WittGen to develop a scalable cloud-based AI platform that profiles cancer tumors. This helps researchers analyze heterogeneity to improve treatment outcomes. Avahi provided expertise to architect the secure AWS environment and machine learning backend needed to quickly launch WittGen’s SaaS service. The solution enhances performance and compliance for the platform that parses patient genomic data to empower clinicians fighting cancer.

Updated Validation Checklists for AWS Specialization Programs

As we continue to transform the AWS Partner experience, we’re excited to share updates to the Validation Checklists (VCL) for AWS Specialization Programs (AWS Competency, Managed Service Provider, Service Delivery, and Service Ready). Effective January 1, 2024, the updates drive efficiencies during onboarding, allowing partners to achieve an AWS Specialization faster and making it easier to utilize benefits.