Live Earth’s Craig Johnston, VP of Sales & Business Development, goes live with Chuck Harold at Corona-Con 2020 – the virtual security and thought leadership conference to discuss our efforts supporting Coronavirus response at the local, state and federal levels.

Chuck Harold is a retired police officer, a former studio security executive and contract security company executive. He is also a licensed private investigator and private patrol officer with POST certification.  He is the on-air host of SecurityGuyTV.com and hosts a live podcast talk show with more than 1,400 episodes and 65,000 listeners worldwide.

  • 31 years of civil and criminal investigation and consulting experience
  • 13 years of street level law enforcement experience
  • 5 years of mission critical and start up operations management in Fortune 50/100 facility, security, studio and investigation environments
  • 8 years of contract security executive management

Chuck: “Mr. Craig, welcome the show! Now I love Live Earth and if I recall correctly, I voted you the most innovative product that I spoke about at GSX last year.  This is an amazing product and service you guys offer and when you booked the show, I said what are we going to talking about? And you said, ‘data visualization’ and I said that those are oxymorons. ‘Data’ usually you read, and ‘visualization’ is something like ‘mapping,’ but really 85% of what we learn is visual, so if you can’t take all those ones and zeros and briefings and put them into something we can see, we’re not as effective.  But that is exactly what you guys do! Tell us about ‘data visualization’ and what Live Earth does to achieve this.”

Craig: “Yeah, it is really a great point. It’s time that we moved beyond printing out binders of data and then analysts going through all the data to try to figure out what’s really going on and by the time they reach a conclusion, it’s too late. By bringing all the data together in a common operational picture, where we can look at real-time data and look at it in context or in contrast to historical data, it allows business leaders, security leaders, and operational leaders to make more effective decisions, not based on just historical data but based on current real-time data feeds. By visualizing data on a map, we can see our entire environment – all our facilities, the whole city, the whole state, the whole country.  We can really understand how things are interacting with each other. And then, by adding the analytics on top of that, we allow users to focus on the areas that matter or the areas that become critical due to a variety of data sets – like access alarms or shortages of supplies or weather patterns or whatever it may be. It’s really about how to bring all that data together in context and then take more effective actions and response.”

Chuck: “I’ll give an example, back in the day, way back, I went to the new guy who was in charge of us at Disney and said, ‘listen I can build you guys a map with all the properties of Disney all around the world. How many properties do we have?’ He told me1500 – nobody at Disney knew we had 1500 properties because each division did their own thing so when I was going to put this up on a map, he said, ‘well that can’t be done.’ And I said, ‘no, you don’t know how to do it. I do. When I am telling you, if you could look at every property around the world in one shot and say wait a minute, we just had a hurricane over here by Disneyland Paris, that would be valuable information.’ So, tell us, how is Live Earth taking this visualization of data now and applying it to COVID-19? I can imagine maps must look really interesting! I think the most important part is that, when I am seeing this map – let’s say it’s COVID-19 hotspots, I’m seeing that right now in real-time. I can instantly visualize I have got a problem over here in Colorado. Let me zoom in and read it. Is that a good description?”

Craig: “That’s a great description. What we’ve done is brought in data sources from Johns Hopkins where we can look at confirmed cases and heat map them all the way down to the national, state, city and county levels so users can see where the hot spots are and zoom in to understand each specific region. Then, on top of that, we also bringing in other data sources like definitive healthcare sources. In this data layer, we are looking at the hospital layers and we understand how many ICU beds are available. You can also bring in logistics channels to understand your complete supply chain, so you know the locations of test kits, swabs, masks, gowns, PPE, etc. In addition, users can also start to look at contact tracing. We provide the means to instantly look at a global data across a wide variety of data source. I think we’re moving into the age because of this pandemic where we need to understand all these things in context of one another. If I see an outbreak, and I see statistical growth in my area, I need to know several things ASAP – I need to have the analytics capability to tell me – are those curves going to cross? How effective are they? And then, where are my supplies? Then, I need to start allocating my resources – do I need more test kits in one city versus another city? And then, logistically, how am I going to get them there? Where are my vehicle assets and what are the most effective routes to get them their safely and efficiently?

As we move forward through this, and we start really thinking about contact tracing, you know one of the things that we’ve really tried to bring to the industry now and help people understand is from a safety and security standpoint. Right now, it is hard to manage a remote workforce. It is hard to manage empty buildings and empty businesses. As people start coming back to work, back to our office buildings, it’s back to these different locations, it’s important to also understand from a contact tracing standpoint, from a spread standpoint, from an availability standpoint, how all these things are interacting and that’s what we’re trying to bring together. That live view. Referring back to your description with Disney, I can understand if there’s anybody that’s a carrier, or anybody that’s come to any of my facilities, parks or locations, that has tested positive, I can now contact trace, understand the risk I have and respond more effectively.  The platform provides all of this critical data management today.”

Chuck: “Now let me play devil’s advocate a little bit and clarify something. So, I’m going to subscribe to Live Earth. I am going to say, ‘Craig here’s what I’m interested, I’m interested in number of cases of my county, number cases in my city.’ Where am I getting that data from? Am I asking you to configure this? Because I want to draw data only from CDC, or I want data from World Health Organization, CDC and John Hopkins. Where is my data coming from?  I ask this because with all the misinformation out there nowadays my map might not be accurate if I don’t set it up properly.”

Craig: “No, that’s a great point Chuck. What we’re doing is working with each municipality, each state or federal government agency, to make sure that they either have all the data layers and we can compare and contrast the data layers or we can turn on and off the layers that they’re most interested in. So, we’ll work together with them. We’ve either gone out and sourced a lot of the data layers, like the CDC or Johns Hopkins, but we will also bring in the layers of the specific user.  What we’re trying to do is make sure we’re agnostic in our approach and we provide that end user access to all the data that’s out there so, they can see it all in context and then make those more effective decisions.”

Chuck: “I think if I configured this with my own custom data, for example, I could upload all my employee addresses and let’s say I’m a big corporation and I work in Southern California and I might have employees in five or six counties – literally spread out across the whole basin.  Live Earth would allow me to say look, “I have ten employees that are right the center of a big hot spot so I can take my personal data and merge that with your global data so to speak right? Is that accurate?”

Craig: “That’s spot-on and that’s really one of the conversations were having with large global corporations now. As they have their workforce now all working remote, they need to start to identify the locations of their workers and look at that from a risk standpoint of outbreaks in certain cities or counties or regions. And then as we start moving forward, and the shelter in place orders may be relaxed, to really understand the risk factors that they have from bringing people back into the office and then hopefully use that data to improve the testing? What are the protocols I put in place? What are my safety practices? But to answer your question, yes, you can import your data and look at not only where are my employees located but if they have the apps on their phones, you could also do contact tracing and then start looking at effective management of the holistic data as we move forward.”

Chuck: “Live Earth is one of my favorite offerings and products out there. It’s cutting edge.”

Learn more about how Live Earth Offers Data Visualization & Advanced Analytics in Real-Time to Help Flatten the Curve of Coronavirus (COVID-19) Cases

Watch another interview of Chuck Harold and Craig Johnston at GSX discussing Live Earth for Physical Security and Asset Protection

 

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