Tag: AWS Competency Partners

As organizations move to the cloud, securing workloads, applications, and data becomes critical. This post discusses using Zscaler Zero Trust Exchange to provide comprehensive cloud security. Key security capabilities highlighted include SSL inspection, data loss prevention, and URL filtering policies tailored for cloud workloads. The post provides guidance on design considerations and implementing baseline security policies within the Zscaler platform.

Many organizations want to migrate from legacy BI tools to Amazon QuickSight, but manual migration cab be costly. Wavicle’s QuickSight Migration Solution (QMS) automates and optimizes this process, analyzing existing dashboards, identifying duplication, automating conversion, and facilitating a seamless rollout. This reduces migration effort, costs, and risks so organizations can rapidly realize QuickSight’s self-service analytics, flexibility, and cost savings.

A content delivery network (CDN) caches content closer to users and reduces load times. Monitoring CDN performance is crucial for optimizing user experience, and this post demonstrates building an Amazon QuickSight dashboard with generative AI capabilities to gain insights from Fastly CDN logs in Amazon S3. It covers configuring real-time log streaming, using AWS Glue to catalog data, accelerating dashboard creation using natural language, and creating rich data stories for stakeholders.

Designing an ecommerce data analytics service poses challenges like data integration, quality, scalability, real-time processing, security/privacy, and visualization. Thoughtworks leverages AWS services to build data products that acquire, clean, transform, model, and visualize ecommerce data for analytics. Its systematic approach identifies sources, acquires data, cleans/stores it, models products, deploys with CI/CD, and visualizes insights in dashboards.

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.