COVID-19 takes digitizing the factory floor from inevitable to urgent
Amidst massive uncertainty, one thing is crystal clear: business-as-usual is no longer an option. Now is the time when digitizing the factory floor becomes critical for survival.
2020 PLM Predictions
Manufacturers who can successfully launch new customer experiences before their competition will maintain market leadership, ward off new market entrants and earn well-deserved buzz. The latest product innovations are all about the customer: autonomous vehicles, cloud- and mobile-based features, over-the-air upgrades, new materials, AI-driven manufacturing.
Carbon Raises Over $260M in Growth Funding Round, Paving the Way for Global Expansion of its Digital Manufacturing Platform
New Funding to Fuel Growth of its Leading Digital Manufacturing Platform Worldwide, Expand on Software Capabilities, and Accelerate Research and Development
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Featured Product
OnLogic Karbon 520 Series of Scalable Rugged Computers
The OnLogic Karbon 520 Series of rugged computers is purpose-built to deliver unwavering performance and reliability in the face of extreme temperatures, vibration, and dynamic power conditions. Powered by the latest Intel® Core™ Ultra processors and validated by MIL-STD-810H testing, the Karbon 520 Series makes it possible to deploy dependable computing for AI at the edge, advanced automation, or critical remote and in-vehicle applications in even the most challenging environments.
Manufacturing and Automation - Featured Company
Datanomix
Datanomix empowers manufacturers of all sizes to increase productivity and profitability through its Data-Powered Production™ solutions. Its product portfolio includes Production Monitoring, G-Code Cloud™ + DNC, TMAC AI™, and ToolAnalytix™ - all designed to turn machine data into actionable insights with zero operator input. Headquartered in New Hampshire, Datanomix software analyzes real-time production signals to identify bottlenecks, improve quality, and provide prescriptive coaching to drive continuous improvement. For more information, visit www.datanomix.io.
