Category: *Post Types

Reducing unplanned downtime in automotive paint shops requires unifying siloed operational data into a contextualized fabric that enables AI-driven root cause analysis and anomaly detection. Today, when a paint shop line goes down, the industrial engineer must manually correlate data across Supervisory Control and Data Acquisition (SCADA) systems, Manufacturing Execution Systems (MES) platforms, downtime logs, […]

This post was co-written with Harsh Vardhan, Global Head of the Digital Innovation Hub, from Apollo Tyres Ltd. Every recipe change on a tyre extrusion line triggers a stabilization period—minutes of off-spec material that must be reworked or scrapped. For high-mix manufacturers running 30–35 setup changes per day, this adds up to 5–6% of total […]

Emerging sustainability reporting requirements demand standardized, auditable processes with flexibility to adapt to evolving frameworks. For many organizations, the challenge isn’t data availability, it’s synthesizing fragmented information into coherent, audit-ready disclosures. Sustainability data resides across facility management systems, procurement platforms, HR tools, carbon accounting solutions, and operational databases. Many traditional business intelligence tools are not […]

For semiconductor companies running Electronic Design Automation (EDA) workloads on AWS, infrastructure availability and performance directly impact chip delivery timelines. A verification regression that fails undetected over a weekend can add days to a tape-out schedule. An unexpected cost spike during crunch can erode confidence in cloud economics. A security incident targeting design IP can […]

Manufacturers operating multi-plant environments struggle with a common challenge: production data trapped in isolated systems across facilities, preventing teams from detecting anomalies early or responding to disruptions before they cascade. In this post, you will learn how to build a Manufacturing Control Tower on AWS that unifies plant-floor data streams, applies Agentic AI for autonomous […]

Manufacturing organizations can now reduce simulation cycle times from days to hours by integrating Teamcenter Simulation with AWS ParallelCluster — eliminating high performance compute (HPC) queuing bottlenecks while maintaining full data traceability. The demand for high-fidelity engineering simulations such as Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and Multi-physics analyses continues to grow as […]

Axel Springer is a family-owned transatlantic media company focused on publishing (including BILD, BUSINESS INSIDER, POLITICO, and WELT) and commerce (including Idealo, Bonial, and Awin). Axel Springer aims to become the leading provider of digital and AI-supported journalism in the free world. Axel Springer Tech is the company’s technology organization, building and operating technology products […]

Learn how Henry Schein ONE serves more than 100,000 dental practices worldwide with cloud infrastructure on Amazon Web Services (AWS). The company’s mission is simple: help practitioners spend less time on technology and more time on patient care.

Software engineering teams building for RISC-V architectures often wait months for hardware prototypes before they can start development and evaluations. This post shows how MachineWare’s SIM-V — an ultra-fast RISC-V Virtual Platform — runs on Amazon Web Services, Inc. (AWS), so software teams can develop, debug, and validate RISC-V software long before silicon is available. […]

Agentic blockchain-based payments are poised to transform in-vehicle driving experiences. As vehicles become increasingly connected and autonomous, they are evolving from passive transportation tools into active economic agents capable of conducting their own financial transactions [see HBR Article, 2021]. Imagine your car automatically paying for highway tolls, electric charging sessions, parking fees, or even purchasing […]