Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

Two competing industry visionaries join forces to tackle telecom’s biggest challenge

Despite the astounding advances in technology the last 30 years, geospatial data and quality in telecommunications has not improved. Why is this? Tom Counts, president and CEO of 3-GIS, and Peter Batty, chief research officer of SSP Innovations, sat down with Host Daniel Litwin to dive into this phenomenon. This data is essential because…

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

By Daniel Litwin · AssetsCorruptionDataQuality
Share

Key takeaways

01

Despite the astounding advances in technology the last 30 years, geospatial data and quality in telecommunications has not improved.

02

Tom Counts, president and CEO of 3-GIS, and Peter Batty, chief research officer of SSP Innovations, sat down with Host Daniel Litwin to dive into this phenomenon.

03

This data is essential because…

Despite the astounding advances in technology the last 30 years, geospatial data and quality in telecommunications has not improved. Why is this? Tom Counts, president and CEO of 3-GIS, and Peter Batty, chief research officer of SSP Innovations, sat down with Host Daniel Litwin to dive into this phenomenon.

This data is essential because it provides a base of truth to dictate decision making. “The GIS set data is the center of the truth. If you don’t know the truth, you’re in trouble. If you want to run a business and you don’t understand your assets, you don’t understand that they’re accurate. It’s hard for you to assign them; it’s impossible for you to provision them; it’s troublesome for you to try to repair them,” Counts stated.

The quicker one can get from the edge to the database, the less likely there is for corruption. People tend to want to go through cycles of review of data, which can corrupt its accuracy. So those extracting data from the edge need to be trained to inspect, recognize and post data in the field and trust for it to come in while only looking for irregularities. 95% of the time it will be accurate and correct. “Having high quality geospatial data is fundamental to being able to quickly diagnose where the problem is and fix it,” Batty said.

Currently, the number of tools available today, such as augmented reality (AR), machine learning and full automation, help improve data quality. For instance, gaming, such as Pokémon Go, is helping to create a map of the world, and home design and AR are also playing a role in improving data quality.

For more information on the geospatial data in the telecommunications sector, visit www.3-GIS.com or subscribe to the Fiberside Chat podcast on Apple iTunes or Spotify.

About the author

Daniel Litwin
Daniel LitwinEditor, B2B Media, MarketScale

Daniel Litwin is a journalist of multiple disciplines focused on finding and telling engaging stories for B2B communities. He has interviewed executives from Fortune 500 companies including Honeywell, Microsoft, John Deere, and Chipotle, and leads editorial direction at MarketScale. Litwin hosts weekly shows and podcasts while helping develop new content approaches across the MarketScale platform. He holds a B.J. in Radio/Television Reporting/Anchoring and a B.A. in Spanish from the University of Missouri-Columbia.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Industrial IoT Insights

AI and automation's adoption gap: why most manufacturers haven't crossed the line yet

AI and automation's adoption gap: why most manufacturers haven't crossed the line yet

The adoption of AI and automation in manufacturing is limited, with 80% of U.S. factories lacking automation. Efforts are underway to bridge this gap through advancements in hardware, software, and strategic initiatives at the executive level. The integration of these technologies could significantly enhance efficiency and productivity in the sector.

  • 0180% of U.S. factories have no automation.
  • 02New technologies are emerging to close the automation gap.
  • 03C-suite strategies are critical for adopting AI and automation.

Jul 7, 2026

Regal Rexnord targets flexible automation cells with integrated motion portfolio

Regal Rexnord targets flexible automation cells with integrated motion portfolio

Regal Rexnord has introduced a motion systems portfolio aimed at enhancing flexible automation cells. The new system allows a single collaborative robot (cobot) to cover a horizontal range of up to 10 meters. This development is expected to reduce the hardware required in flexible manufacturing setups.

  • 01Regal Rexnord's new motion systems target flexible automation.
  • 02One cobot can cover up to 10 meters horizontally.
  • 03Reduced hardware count in manufacturing cells.

Jul 6, 2026

Robotics roundup: humanoid test centers, drone scale, and inbound logistics automation signal a busier second half of 2026

Robotics roundup: humanoid test centers, drone scale, and inbound logistics automation signal a busier second half of 2026

The article discusses the increasing activity in the robotics sector, highlighting significant developments such as humanoid test centers and the scaling up of drone operations. It emphasizes the rapid acceleration of enterprise robotics deployments across various sectors. Key developments are anticipated in the second half of 2026, impacting areas like humanoid robots and logistics automation.

  • 01Humanoid robots are getting specialized test centers.
  • 02Drone operations are scaling to 55,000 per month.
  • 03Enterprise robotics deployments are rapidly accelerating.

Jul 6, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

Daniel Litwin
Daniel Litwin

Editor, B2B Media

MarketScale

Daniel Litwin is a journalist of multiple disciplines focused on finding and telling engaging stories for B2B communities. He has interviewed executives from Fortune 500 companies including Honeywell, Microsoft, John Deere, and Chipotle, and leads editorial direction at MarketScale. Litwin hosts weekly shows and podcasts while helping develop new content approaches across the MarketScale platform. He holds a B.J. in Radio/Television Reporting/Anchoring and a B.A. in Spanish from the University of Missouri-Columbia.