Manufacturing insights
52 results found
AI Inferencing Without the Infrastructure Overhaul
How the NetApp AIPod Mini with Intel lets organizations put proprietary data to work in existing data centers, at department scale, without GPU complexity. AI inferencing doesn't have to mean GPU procurement, liquid cooling, or a rearchitected data center. The NetApp AIPod Mini with Intel was built for the organizations that already have the data — and need a production path that fits where they are today.
WWT Industry Solution Experience (WISE)
WWT's Demonstration lab for industrial IT/OT collaboration
OT Security Roundtable: Navigating the IT-OT-IoT Alignment Challenge
OT Security experts at World Wide Technology sit down for a conversation about the growing challenges of IT-OT-IoT alignment. They share practitioner perspectives on securing operational technology environments, bridging the technical and cultural gap between IT and OT teams, and what organizations need to consider as industrial systems become increasingly connected.
The Data Flywheel: How Kiewit Built a Foundation That Makes AI Actually Work
Kiewit's Chief Data and Analytics Officer, Matt Pappas, has spent 15 years building machine learning into one of the world's largest construction companies — long before "AI-ready" was a buzzword. In this episode of teh AI Proving Ground Podcast, he shares what he's learned about data culture, decision science, and the discipline most enterprises are skipping when it comes to driving AI strategy at scale.
Industry Today: Why AI Pilots Stall in Manufacturing
Manufacturers can unlock AI value by breaking down data silos, modernizing infrastructure and connecting IT and OT strategies.
AI Data Flywheel Use Case on Cisco Secure AI Factory with NVIDIA
See how WWT, Cisco and NVIDIA turned a one-billion-parameter model into an enterprise-grade AI powerhouse — without the infrastructure bill to match.
Seeing the Full Picture: How Sensor Fusion is Transforming Operations Across Industries
Discover how WWT's sensor fusion architecture — combining camera-based computer vision, LiDAR and IoT data — is delivering more accurate, resilient and actionable operational intelligence across industries, from manufacturing and logistics to retail and healthcare.
Every Manufacturer Wants to Be AI-first. Few Know Where to Start
For manufacturers serious about becoming AI-first, IT/OT convergence is the bridge that gets them there.
S4x26 OT Conference: A Perspective from the WWT OT Security Teams
One of the largest and most advanced ICS cybersecurity events in the world, S4 is where the best and the brightest come together to go deep and paint a future for ICS security. Here, the WWT team gives their candid recollection of this highly esteemed event.
Manufacturing at the EDGE: SCADA Instrumentation, Model Context Protocol and Agentic Design Patterns
Modern manufacturing is evolving towards data-centric, automated and intelligent systems that require contextualized operational data streaming from IoT-based edge devices converging with IT networks for adaptive real-time decision-making. MCP offers a structured approach to managing and interpreting diverse data streams, while SCADA systems serve as the core industrial instrumentation integrated with agentic methods and advanced inferencing to enhance manufacturing processes.
Baptist Health
Welcome to the Baptist Health community page on the WWT Digital Platform. We look forward to strengthening our relationship. This private community has been created to improve collaboration and discussion between our organizations to drive business outcomes. Within this community, you will find links to articles, events, videos, workshops, and a broad collection of digital labs to support experimentation, education, and exploration.
Inside NVIDIA: The $5 Trillion Engine Redefining the Future of AI
AI is rewriting the rules of the global economy. Powered by leaps in accelerated computing, digital twins and autonomous systems, a new industrial era is emerging in real time. In this episode of the AI Proving Ground Podcast, NVIDIA leaders Jay Puri, Charlie Wuischpard and Craig Weinstein break down how the entire AI stack — from the silicon driving breakthroughs to the software shaping intelligent experiences — is redefining how we build, operate and compete.
This conversation gives leaders a clear view of what's coming next—and what it takes to align their organizations, scale AI innovation, and stay ahead in a race where velocity, architecture, and ambition now determine advantage.