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LISTEN: The Evolution of Industrial IoT

The podcast episode covers the evolution of Industrial IoT with Undrea Patterson from MultiTech. Discussion topics include the challenges of IoT adoption across industries and the impact of internet technology on agriculture.

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

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LISTEN: The Evolution of Industrial IoT

Key takeaways

01

Industrial IoT is evolving to meet the demands of various industries.

02

IoT adoption requires overcoming significant challenges across multiple sectors.

03

The agricultural sector is entering a new internet-enabled age.

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On this episode of our Industrial IoT Podcast, we get to chat with Undrea Patterson from MultiTech. We discuss the evolution of IoT, challenges with the need for widespread adoption across multiple industries, and the arrival of the internet age for corn and cattle.

For more information on MultiTech – be sure to check out their website!

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More Industrial IoT Insights

For constant plant-floor process streams, a data historian is often a better fit than SQL Server or Oracle

For constant plant-floor process streams, a data historian is often a better fit than SQL Server or Oracle

Bill Schmidt of Renson House, in a recorded segment titled Data Historian, argues plant-floor process streams are better captured in a data historian than in Microsoft SQL Server or Oracle, since historians can store timestamps and changes rather than repeated readings and can make time-window reports feel faster. Precedence Research values industrial IoT at USD 602.87 billion in 2026, and vendor posts from CrateDB and Tiger Data describe where historians can fall short for broader analytics and why teams often want SQL access to that data.

  • 01Precedence Research values the industrial IoT market at USD 602.87 billion in 2026, growing 16.8% a year to 2035, so plant data streams keep getting larger.
  • 02In Schmidt’s example, historians can store a timestamped point when a value changes (skipping repeats), while logging every repeated reading in a relational table can increase storage and slow time-window reports.
  • 03Historians such as AVEVA PI handle capture; CrateDB and Tiger Data say cross-plant SQL analytics is a separate layer added beside them, and generic relational tables degrade as they grow.

Sep 30, 2026

CED: Specify holding brakes where gravity can move a servo axis

CED: Specify holding brakes where gravity can move a servo axis

CED's Nicholas Rodacz uses two de-energized servo motors, one shaft spinning free and one locked, to explain the spring-set holding brake. The brake clamps whenever voltage is absent and belongs on cranes, elevators, gantries, robot joints and any axis holding stored energy. It holds only at standstill, carries a torque rating, and cannot be replaced without disassembling the motor.

  • 01A holding brake is spring-set and power-to-release: it clamps the motor shaft when voltage is absent, so a power loss prevents shaft rotation.
  • 02The test is stored energy, not orientation: cranes, elevators, gantries, robotic arm joints and any spring-tensioned axis that would move if the motor lost torque all qualify.
  • 03The brake holds a stopped axis only, carries its own torque rating that must cover the load, and is not field replaceable, so the decision belongs in the motor spec, not the maintenance budget.

Sep 30, 2026

Mapbox says Traffic 2.0 gets arrival times right on 98% of trips

Mapbox says Traffic 2.0 gets arrival times right on 98% of trips

Mapbox says Traffic 2.0 gives accurate ETAs on 98% of trips. For logistics and field teams, the value is fresh road and place data AI agents can act on.

  • 01Traffic 2.0 claims accurate ETAs on 98% of trips, a vendor figure fleet teams can benchmark against ETA accuracy on their own lanes.
  • 02An AI agent that reroutes a driver is only as useful as the traffic data underneath it; Mapbox's agentic mapping engine processes anonymized movement data from over 45,000 applications.
  • 03The Places API, now in public preview, combines business listings with entrances, building footprints, operating hours and visitation patterns; leaving preview is one signal to watch.

Sep 28, 2026

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