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Machine learning and device intelligence are about to change everything – or, at least, a lot of things. From retail and transportation to service providers and automotive, there’s hardly an industry that won’t be impacted.
Take one area that will impact just about every industry: Security. Till now, cyber criminals have been able to hijack personal devices and corporate servers at alarming speed, while security companies play perpetual catch-up attaching signatures to every piece of new malware to protect users’ devices. Some malware is even able to escape signature identification altogether.
Enter machine learning and behavioral analysis, which is taking security protection to an entirely different level.
Maged Zaki, Director of Technical Marketing at Qualcomm Technologies, gives an example of how this may apply to smartphones. “Imagine there’s a new malware trying to attack my device today – it could try and send an SMS message on my behalf,” he says. “But right now, my smartphone is sitting on the table and I’m not using it, or the screen is off. With machine learning, the device will know this SMS doesn’t make sense, and will detect the malware attempt.”
Or imagine that hackers are trying to use an application on your phone as a vulnerable entry point. Your flashlight app has no reason to access your phone’s contact list or your banking application – machine learning can know this, and protect your devices from the attack.
User authentication may also be impacted. While most of us are familiar with biometric authentication, machine learning may make authentication effortless. “It’s about convenience,” says Zaki. “Our vision is that authentication should be happening in the background continuously.”
If you’re typing on your phone, your fingerprint can be immediately detected; if you’re looking at your screen, your iris can be scanned. Multifactor authentication can include a number of things: a smart watch can continuously detect your unique heart rate to authenticate you and your smartphone can know your unique walking movements.
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Of course, security is but one aspect of our day-to-day lives that’s about to change with machine learning. Zaki points to how much productivity may change with the explosion of sensors. “Robotics and drones can do things that either can increase productivity or do things that we are not wiling to do as humans,” he says.
Shopping will be transformed as users can take their body measurements with computer vision and have customized clothing, or order furniture for their home using 3D imagery uploaded to a retailer’s CAD application that will determine just how well the furniture fits and looks within their unique space.
And if you’re thinking Uber transformed the cab business, Uber itself may be in for an overhaul in the coming years. Using deep learning sensors and computer vision, autonomous cars may transform both personal transportation and the massive delivery of goods that our society relies on.
“We can entirely envision cars that will do collision avoidance on their own,” explains Zaki. “ They can have an awareness of what’s happening around them – and based on those objects, will be able to change lanes, etc.” He goes on to describe how autonomous trucks and trains may transform how goods are delivered to industry and consumers (Amazon took the next step of informing the American Congress last week it’s developing the technology to make deliveries by drones).
Join us for this eye-opening webinar which will shed light on how industry leaders are using machine learning and computer vision to reshape industries across all sectors.
What you’ll learn:
- How you can drive innovations and create new business opportunities through these technologies
- The ways cognitive technologies can help businesses drive revenue in unexpected — and uncharted – ways
- How to balance the benefits of device intelligence and user privacy
- The scoop on why on-device intelligence will be key in the new era of smart connected things
- The role of cognitive technologies and biometrics on securing your organization’s critical devices
Maged Zaki Director of Technical Marketing, Qualcomm Technologies, Inc.
Jim McGregor Principal analyst and founder, TIRIAS Research
Russ Fadel President and General Manager; ThingWorx
Chris Clayton Senior vice president, business development; ColdLight
This webinar is sponsored by Qualcomm Technologies.