AWS for Industries

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 […]

This post demonstrates on Massive Multitask Language Understanding (MMLU) [Hendrycks et al., 2021], an open-source multiple-choice benchmark accessible via Hugging Face Hub, selecting four business-relevant subjects.

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 […]

In this blog, learn how new research from Coresight Research reveals a five-pillar framework for AI-powered personalization, and why brands that act now will lead the future of customer engagement.

This is part 3 of our three-part series on how Amazon Web Services (AWS) aligns with MPA Content Security Best Practices with a particular focus on media archives.

This is Part 2 of our three-part series on how Amazon Web Services (AWS) aligns with Motion Picture Association (MPA) Content Security Best Practices v5.3.1 for media archives. In this second installment, we turn to the operational and detective controls that complete the security picture.

This guide walks one agent through all six pillars: a Parts Inventory Agent for an automotive manufacturing plant.

In this post, we demonstrate how a large North American Utility is currently running a multi-agent AI architecture on Amazon Bedrock AgentCore to compress alarm triage from hours to minutes, avoiding the manual, multi-system investigation that operators perform dozens of times per shift. We will walk through the industry problem, the multi-agent design, and a reference implementation on GitHub that you can deploy into your own environment.

In this three-part series, we examine how AWS capabilities align with MPA security requirements. Part 1 covers foundational controls such as information security management systems (ISMS), identity and access management, network isolation, encryption, and authorization.