IT Visionaries

Putting Industrial Data to Work with GE Digital CTO, Colin Parris


Listen Later

Industrial equipment lasts for decades, and the data produced by these machines are invaluable to the organizations that rely on them. So what happens when industries that rely on industrial equipment, with on-location workers, and limited digital reliance face a pandemic and limited to no travel. 

“I had a CEO of one of the big utilities [companies] telling me, he taught, given the last discussions he had with his leaders, that it would take five to six years to do digital transformation. When COVID started last year, they did a lot of what they thought would take five years in five weeks. It worked, so now the question is can you continue doing it?”

Colin Parris is the SVP and CTO of GE Digital, a billion dollar software division dedicated to creating better outcomes using the immense data produced by industrial machines.At GE, Coliin leads software, systems, and analytics teams to push the boundaries of how data can power industrial digital transformation. On this episode of IT Visionaries, Colin explains one of the ways GE Digital is transforming industries with their digital twins program. He explains exactly how digital twins is helping factories effectively predict the lifetime of machines, maintenance schedules, and predictive optimum yields all with an eye towards safety to ensure their plants stay up and running. Colin also touches on the importance of gathering data at the edge and the impact that kind of computing will have on efficiency.

Main Takeaways

  • Measuring Success and Proving Value: Measuring success or measuring value from data and analytics is a difficult proposition. A best practice for measuring value is to set a baseline and make sure that you pick the right tool to advance your use case. Then you can measure that baseline to provide the value of those investments to gain the credibility to advance your analytics.
  • It’s a Balancing Act: When you are measuring your data and setting baselines, you must be using both data at the edge and cloud-based data to predict the life expectancy of a system. When you manage data locally, you are consistently setting benchmarks with your local products, and then by sending that data to the cloud, you’re allowing your systems in other areas to use that data to then prevent potential problems.
  • Industrial Problems: The two biggest issues currently facing the industrial industry right now are decarbonization, reducing a factory’s carbon footprint and cyber security, protecting that software that manages and runs their machines. The software that runs inside machines now must not only be able to predict when a machine might need maintenance, but that software must make sure the machine is not only safe and secure, but keeps it running efficiently in order to help it’s sustainability efforts.

IT Visionaries is brought to you by the Salesforce Platform - the #1 cloud platform for digital transformation of every experience. Build connected experiences, empower every employee, and deliver continuous innovation - with the customer at the center of everything you do. Learn more at salesforce.com/platform

-- 

This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.

That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.

---

IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org.


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

...more
View all episodesView all episodes
Download on the App Store

IT VisionariesBy Mission

  • 4.6
  • 4.6
  • 4.6
  • 4.6
  • 4.6

4.6

170 ratings


More shows like IT Visionaries

View all
WSJ Tech News Briefing by The Wall Street Journal

WSJ Tech News Briefing

1,643 Listeners

a16z Podcast by Andreessen Horowitz

a16z Podcast

1,080 Listeners

Software Engineering Daily by Software Engineering Daily

Software Engineering Daily

626 Listeners

CyberWire Daily by N2K Networks

CyberWire Daily

1,019 Listeners

The Official SaaStr Podcast: SaaS | Founders | Investors by SaaStr

The Official SaaStr Podcast: SaaS | Founders | Investors

173 Listeners

Gartner ThinkCast by Gartner

Gartner ThinkCast

111 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

298 Listeners

NVIDIA AI Podcast by NVIDIA

NVIDIA AI Podcast

338 Listeners

DataFramed by DataCamp

DataFramed

267 Listeners

The Story by Mission

The Story

236 Listeners

Cybersecurity Today by Jim Love

Cybersecurity Today

174 Listeners

Mission Daily by Mission.org

Mission Daily

219 Listeners

Practical AI by Practical AI LLC

Practical AI

206 Listeners

Education Trends by Mission

Education Trends

41 Listeners

The Future of Cities by Mission

The Future of Cities

75 Listeners

Marketing Trends by Mission

Marketing Trends

279 Listeners

The Journey by Mission.org

The Journey

59 Listeners

Find Your Mission by Mission

Find Your Mission

38 Listeners

Hidden In Plain Sight by Mission

Hidden In Plain Sight

87 Listeners

Up Next In Commerce by Mission

Up Next In Commerce

136 Listeners

Big Technology Podcast by Alex Kantrowitz

Big Technology Podcast

470 Listeners

Cyber Security Headlines by CISO Series

Cyber Security Headlines

134 Listeners

The Fleet by Mission

The Fleet

18 Listeners

Business X factors by Mission

Business X factors

23 Listeners

Life with Pets by Buddies by Blue Buffalo

Life with Pets

59 Listeners

This Day in AI Podcast by Michael Sharkey, Chris Sharkey

This Day in AI Podcast

209 Listeners

The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief: Artificial Intelligence News and Analysis

547 Listeners

Experts of Experience by Mission.org

Experts of Experience

21 Listeners