Tag: AWS Partner Guest Post

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.

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.

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.

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.

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.

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.

Amazon outsourced management of its out-of-warranty device repairs to Genpact to meet regulatory requirements and customer expectations. Learn how Genpact leveraged its ContactUs.Ai framework and Amazon Connect to create an omnichannel solution allowing self-service and live support. This extends device lifetimes, increases customer satisfaction, and aligns with Amazon’s ESG priorities around Right to Repair regulations in Europe.

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.

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.

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.