Category: Intermediate (200)

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.

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.

The logistics industry lacks transparency due to fragmentation and complex supply chains. Bosch L.OS offers a cloud platform integrating services like transportation and fleet management systems. Learn how Bosch collaborated with AWS and Storm Reply to develop an SDK for seamlessly integrating truck parking booking services from providers. The reusable SDK simplifies integration for logistics companies, reducing development effort.

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.

Traditional mainframe applications create data integration challenges when modernizing on the cloud. VirtualZ’s Lozen allows secure, real-time access to mainframe data from AWS without replication. This simplifies application migration while retaining the mainframe system of record. Lozen utilizes efficient data transformation and optimized protocols to improve performance, and is zIIP-eligible for additional cost savings.

Customer data is critical for modern digital organizations, but is often scattered across tools which can render it useless. Historically, customer data platforms (CDPs) aimed to consolidate data for insights and activation, but organizations now prefer a composable CDP architecture on AWS to sync data from Amazon Redshift and Amazon S3 into downstream tools. Hightouch facilitates this composable CDP approach, making it easy to activate AWS data across channels without engineering work.

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.

Enterprise cloud adoption enables scalability but can introduce security and compliance challenges from decentralized builders and disparate growth. Accenture’s Secure Cloud Foundation on AWS provides a well-defined, automated account provisioning process with guardrails to enable secure and streamlined self-service innovation across teams. It establishes robust cloud foundations to automate security and break organizational barriers for accountability and outcomes.