Tag: AWS Competency Partners

We are excited to highlight 129 AWS Partners that received new or renewed specializations in February for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Contact centers can improve customer experiences using generative AI, which creates new content and conversations. Accenture’s Connected Customer Experience (CCE) solution incorporates AWS services to provide personalized human and AI interactions. It uses generative AI for agent assist, call summarization, and self-service FAQs. By leveraging generative AI on AWS, CCE aims to enhance agent productivity, reduce handle times, and deliver exceptional customer experiences.

Managing cloud costs is complex without enterprise-wide visibility, and FinOps provides financial accountability to maximize investments. Kyndryl’s approach to FinOps on AWS emphasizes transparent visibility for cultural transformation through continuous optimization, cost attribution, savings recommendations, anomaly detection, and role-based access across hybrid clouds. Customers can expect up to 30% savings through Kyndryl’s cost optimization expertise.

The Hugging Face Platform provides no-code and low-code solutions for deploying generative AI models on managed AWS infrastructure. Key features include Inference Endpoints for easy model deployment, Spaces for hosting machine learning apps, and AutoTrain for training state-of-the-art models without coding. Hugging Face is an AWS Generative AI Competency Partner whose mission is to democratize machine learning through open source, open science, and Hugging Face products and services.

AWS embraces the “working backwards” approach to stay customer-focused. The Generative AI Center of Excellence (CoE) for AWS Partners applies this methodology and collects partner feedback to provide relevant insights, tools, and resources on leveraging generative AI. Recent updates to the CoE include customer research on generative AI adoption challenges, a usage maturity heatmap by industry, and five new use case deep dives covering telecom, automotive, IDP, contact centers, and financial analysts.

Integrating security scanning into infrastructure as code (IaC) allows detecting misconfigurations early in development. This post explores using the KICS plugin from Checkmarx with AWS CDK. Learn how KICS performs static code analysis to find vulnerabilities and compliance issues in IaC and scans the CDK code to report findings, failing the command for high-severity issues. This shifts security left, mitigating risks in deployed infrastructure.

The AWS Well-Architected Framework provides best practices for cloud architectures across six pillars. Comprinno’s Tevico enhances the Well-Architected review experience through collaboration tools, automatic risk identification, integrated remediation planning, and a knowledge base. Key features include visual diagramming, multi-user collaboration, auto-discovery of risks, and more. With AWS integration, Tevico helps customers comprehensively evaluate their workloads and swiftly remediate high-risk issues.

With the ability to automate tasks, enhance productivity, and enable hyper-personalized customer experiences, businesses are seeking specialized expertise to build a successful generative AI strategy. To support this need, we’re excited to announce the AWS Generative AI Competency—an AWS Specialization that helps AWS customers more quickly adopt generative AI solutions and strategically position themselves for the future.

As data becomes increasingly valuable, robust security measures are critical. This post reviews how Protegrity’s tokenization integration with Amazon Redshift Dynamic Data Masking enables organizations to effectively protect sensitive data. It provides an overview of key concepts like Protegrity Vaultless Tokenization and Redshift Dynamic Data Masking, including code examples to better safeguard sensitive information within their Redshift data warehouse both at rest and in use.

Amazon Machine Images (AMIs) allow quick deployment of EC2 instances, but managing multiple customized AMIs is complex. Stratus10’s Image Management Solution automates and streamlines AMI building, testing, and deployment using EC2 Image Builder. It provides consistency, integrates with current processes, reduces costs, and improves security. By eliminating manual processes, engineering teams can focus on innovation while hardened images ensure best practices.