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Demystifying the Convergence of LTE and LMR Networks for First Responders

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Originally aired: Thursday, December 6, 2018 -- 11:00 AM PT/2:00 PM ET

Narrowband Land Mobile Radio (LMR) networks and user radio equipment have been the cornerstone of mobile communications for First Responders for decades. The trend from traditional analog to more robust wireless broadband networks in recent years has improved the overall accessibility but questions remain on whether the new networks can provide all the required capabilities First Responders need to do their job.

Increasing demand for bandwidth intensive applications such as video, advanced mapping and analytics, alongside critical voice communications has been driving adoption of broadband LTE cellular networks, such as FirstNet.

Join our panel of industry experts for this insightful 60-minute on-demand webinar as they discuss the critical differences between LMR networks and LTE networking, how these technologies can successfully co-exist, and explore the future of critical communications for First Responders.

In this session, you will learn:

  • Current and future industry trends for LTE and LMR technologies
  • Challenges and obstacles with the convergence of technologies
  • Real-life examples of successful hybrid communication strategies for First Responders
  • Recommendations for future proofing your agency; adoption of new technologies and how to bridge the gap

Speakers:

Tony Morris, VP North American Sales, Enterprise Solutions, Sierra Wireless

Jesus Gonzalez, Analyst II, Critical Communications, IHS Markit

Ken Rehbehn, Principal Analyst, Critical Communications Insights

Andrew Seybold, Senior Partner, Andrew Seybold Inc.

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6 Key Findings of Incident Reporting

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Originally aired: Thursday, December 13, 2018 -- 11:00 AM PT/2:00 PM ET

An exceeding number of police departments and law enforcement agencies, whose officers spend upwards of 3-4 hours a day completing incident reports and other time-sensitive paperwork*, are turning to smarter tools, such as speech recognition solutions, to help transform their police reporting workflows.

View this on-demand webinar to hear why these law enforcement professionals are embracing smarter tools to complete higher-quality reports and move mission-critical information within the CAD/RMS faster and more efficiently – all by voice.

This discussion will provide you with an understanding of:

  • What law enforcement has to say about current reporting processes
  • Why officers, especially recruits, want smarter tools to help with police paperwork
  • Why manual reporting has a negative impact on report accuracy and productivity and can hinder criminal proceedings
  • How departments can speed up data entry within the CAD/RMs and move mission-critical information more accurately and efficiently
  • How speech recognition technology can help increase officer safety and improve situational awareness and productivity on patrol
  • Why embracing smarter technology increases community visibility, and minimizes costs

Learn how your department can make incident reporting faster, safer and more complete by viewing our on-demand webinar today.


*Role of Technology in Law Enforcement Paperwork Survey 

Speakers:

Eric La Scola, Product Marketing Manager, Dragon, Nuance

Columns : Editorial

The Deep Fakes are Coming

Using artificial intelligence software, your enemies will soon have the means to produce videos that show you doing things you didn't do.

August 06, 2018  |  by - Also by this author

Editor David Griffith (Photo: Kelly Bracken)
Editor David Griffith (Photo: Kelly Bracken)

Three months ago Google demonstrated a stunning new artificial intelligence capability for its Google Assistant smart speaker. The technology branded Duplex can autonomously call a hair salon and schedule an appointment, or a restaurant and make a reservation, and perform other similar tasks all with a very human-sounding voice. Duplex even reacts to what the person says on the other end of the phone with no discernible lag and says "uh" and "hum" like a typical American. If it was programmed to do so, Duplex could call your 911 dispatch center right now and odds are no one would know they were talking to a machine.

But Duplex calling 911 is the least of your worries as more and more AI products reach the public. What you really have to worry about is fake video of you doing things you didn't do and saying things you didn't say. You will also have to worry about fake video implicating the wrong person in a crime or showing a guilty man lounging on the beach 500 miles away rather than robbing your local bank. We are about to enter an era where all video and audio evidence may be more suspect than it's ever been.

Fortunately, the body camera and in-car video companies long ago incorporated technology that prevents anyone from altering a video. Unfortunately, a percentage of the public inclined toward taking anti-police propaganda as gospel already believes that police departments doctor videos to get the evidence they need to exonerate officers after a controversial shooting. So imagine what will happen if in the very near future every controversial police shooting is posted on the Web as multiple videos showing totally different actions

For example, last month in Chicago, a police officer shot a barber after seeing the man allegedly reach for his waistband toward a concealed firearm. Officers had originally stopped the man because they suspected he was carrying because of a visible bulge at his waist. He reportedly resisted, pulled away from the officers, and then the sequence of events that led to his fatal shooting occurred. This shooting led to some unrest, including some "violent protesting," and some officers were injured by thrown objects. As of this writing, the city is still tense. But imagine how tense it would be if the police video showed the man was armed, which he was, and an equally convincing video showed he was unarmed.

Seamless video manipulation using AI algorithms is about to become a major challenge in many fields, including law enforcement. Crude apps are already available that can do some pretty remarkable video manipulation. For example, people have manipulated porn videos swapping the faces and voices of the actress for those of mainstream actresses. They've also created a bogus video of Barack Obama spewing obscenities about his successor. These videos are called "deep fakes."

It's pretty easy to determine that the current generation of deep fakes has been manipulated. But the thing about AI-based software is that by its very definition it learns, it gets better with use. So those telltale blurs and other artifacts that now reveal these things are phony are going to go away. And it's estimated that very soon even top experts in the field of video editing will have trouble determining what is real and what is fake.

The good news is your evidentiary videos will probably stand up in the court of law. The bad news is they will be in doubt—even more so than they are now—in the court of public opinion.

What we are about to see is an arms race between creators of propaganda deep fakes, including sophisticated foreign intelligence agencies and unsophisticated trolls, and producers of tools for proving the videos are not genuine. And for the first few years of the coming AI revolution, the deep fake creators are going to have a head start.

The only advice I can give you to lessen the pain of this coming nightmare is to make sure your video system is running when it's supposed to. Because your best hope for combating deep fakes and the damage they will do to your reputation, your department, and your profession is to make sure you have an official video. If you don't, I assure you the deep fake purveyors will make one for you, and you won't like what it shows.


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