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FLEX Industrial Insights

Industrial digital transformation is often referred to as Industry 4.0, or the Fourth Industrial Revolution. The opportunity comes from advancing network connectivity, gathering and aggregating data, predicting maintenance and downtime, and driving security solutions across all connected devices. Over 30% of factories are connected in some way via sensors or automation, however less than 1% of the data being produced is being used today, and IT and OT businesses are operating independently. Integration, interoperability, and intelligence is required to drive business success.

Industrial Use Cases

Monitoring and Diagnostics of ICS and Industrial Assets

Get a unified, simplified realtime view into the health of PLC, embedded PCs, process control software and machine assets to maximize availability, reliability and quality—all while minimizing unscheduled downtime.

Security, Safety and Compliance

Help protect mission-critical assets and industrial systems against cybersecurity threats. Gain visibility into system performance or set points that could put machines or people at risk and satisfy compliance reporting requirements.

Predictive Maintenance

Forecast and predict unscheduled downtime of machine assets— gain real-time insight into asset deployment, utilization and resource consumption. Recognize patterns and trends, and use operational data to proactively approach longterm industrial asset management, maintenance and performance.


Presidio
Presidio is a leading North American IT solutions provider focused on Digital Infrastructure, Business Analytics, Cloud, Security & Emerging solutions. We deliver this technology expertise through a full life cycle model of professional, managed, and support services including strategy, consulting, implementation and design. By taking the time to deeply understand how our clients define success, we help them harness technology advances, simplify IT complexity and optimize their environments today while enabling future applications, user experiences, and revenue models.
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