Biz Tech Magazine
Maybe it’s time to stop fearing hackers and start listening to them. That’s what Keren Elazari, a cybersecurity analyst and senior researcher at Tel Aviv University, thinks. Elazari travels the world speaking to organizations about cybercriminals’ latest tactics and tools. In a conversation with BizTech Managing Editor Bob Keaveney, Elazari says businesses must look closely at what threat actors are doing to formulate a proper response. (Full Article)
Robotic process automation (RPA) doesn’t sneak up on many people anymore. It’s already a hot topic in IT and business circles: Gartner pegged RPA as the fastest-growing enterprise software category last year, and there are plenty of other numbers that speak to widespread interest in the technology already.
Don’t bet on that interest fading much in 2020.
“The RPA market will continue its rapid growth in 2020 as more enterprises come to understand both the power of process automation overall and the number of legacy processes for which RPA is an effective answer,” says Aaron Bultman, director of product at Nintex.
Some might learn the hard way that not every process is an ideal fit for RPA.
That said, Bultman and other RPA experts note there are some reality checks in store as organizations build out a broader automation strategy. Some might learn the hard way, for example, that not every process is an ideal fit for RPA. Let’s take a peek at some of the key RPA trends to watch in the year ahead. (Full Article)
Robots already have us beat in some ways: They’re stronger, more consistent, and they never demand a lunch break. But when it comes to the senses, machines still struggle mightily. They can’t smell particularly well, or taste (though researchers are making progress on robotic tongues), or feel with their robotic grips—and that’s a serious consideration if we don’t want them crushing our dishes or skulls.
In a lab at Columbia University, engineers have developed a strange yet clever way for robots to feel: Let’s call it the finger of light. It’s got a 3D-printed skeleton embedded with 32 photodiodes and 30 adjacent LEDs, over which is laid a squishy skin of reflective silicone, which keeps the device’s own light in and outside light out. When the robot finger touches an object, its soft exterior deforms, and the photodiodes in the skeleton detect changing light levels from the LEDs. This allows the system to determine where contact is being made with the finger, and the intensity of that pressure. In other words, if you shook this robot’s hand, it wouldn’t feel it, in a traditional sense; it would see it. (Full Article)