Category: Amazon Kinesis

Water utilities worldwide are facing challenges in managing infrastructure, reducing water waste, and making sure of reliable service delivery. The traditional approaches of manual monitoring and reactive maintenance are no longer sufficient due to increasing water demand, need for uninterrupted service, regulatory requirements, and customer satisfaction. In this post, we explore how Amazon Web Services (AWS) AI […]

Background Toyota Motor North America (TMNA) is on a multi-year manufacturing digital transformation journey to support vehicle electrification, enhance customer experience, empower an agile digital workforce, and seamlessly integrate advanced digital technologies. This initiative aligns with Toyota’s relentless pursuit of continuous improvement and quality while evolving into a modern, agile, customer-centric manufacturing company. As Akio […]

The automotive and manufacturing industries are undergoing another digital transformation, this time powered by artificial intelligence. From engineering workbenches to smart factories, Generative AI (Gen AI) is transforming how vehicles are designed, manufactured, and maintained. However, implementing production-grade AI applications requires more than just selecting the right models – it demands robust architecture, enterprise-grade security, […]

With over 100 clubs globally, premium fitness company Equinox requires scalable, repeatable infrastructure that can support its integrated digital and physical experiences. Its connected experiences, which include competitive cycling classes, are a key offering that motivates its members to track and meet their fitness goals in a mobile app. However, delivering fitness insights in near […]

Revenue assurance (RA) is critical in the telecom industry, traditionally monitoring financial transactions such as CDR validation, billing verification, and settlement reconciliation to make sure of accurate revenue streams. Despite these practices, telecom operators face significant operational inefficiencies, with traditional RA processes limited to sampling small portions of transactions and achieving partial recovery rates due […]

This post is co-written with Rebecca Nissan, Sr. Delivery Solutions Engineer, Healthcare and Life Sciences, Field Engineering, Databricks. In today’s healthcare data-centric landscape, organizations face challenges (such as disparate data silos) across their electronic health records (EHRs), medical imaging, and other on-premises data warehouses. Healthcare data is growing at such a rapid rate that one […]

Introduction In today’s fast-paced financial markets, the sheer volume and velocity of news pose significant challenges for investors, traders, and financial institutions. The ability to quickly process, analyze, and act on relevant information can mean the difference between seizing opportunities and falling behind. This blog post introduces an innovative solution that leverages Amazon Bedrock to […]

With physical stores still accounting for 80 percent of sales, the pressure to optimize in-store operations has never been more intense. The rise of ecommerce hasn’t just changed shopping habits—it’s created an urgent need for physical stores to deliver smarter, more efficient store experiences while reducing their technology footprint. Physical store companies commonly face the […]

Introduction Artificial Intelligence (AI) applications are evolving into distributed inference pipelines, where models run across multiple tiers, from device edge to AWS, to optimize latency, bandwidth, and privacy. Instead of sending all raw data to AWS, collaborative AI inference can occur at the device, far edge, near edge (often a 5G Multi-access Edge Computing site […]

Not too long ago, retailers with physical stores considered their online presence as an addition to their business. In many instances, one didn’t know about the other. And that created a problem for customers who expected to have a seamless experience between shopping from their home and pushing a cart through a store. This inconsistent […]