UPDATED 15:30 EDT / APRIL 12 2018

EMERGING TECH

IoT implementation excels with education, risk adversity

Big enterprises are hungry to incorporate the “internet of things” into their companies. However, there’s a lot of education that needs to be done in order for enterprises to understand how to best leverage these new technologies, and it takes a risk-adverse mindset in order to take IoT to the next level.

“The first barrier is to just understand the technology and the limitations of that technology,” said Louis Frolio, technical evangelist, cloud, analytics and Watson platform, at IBM Corp. “It’s going back to just education and people understanding what these technologies are, how to use them, and how to get started.”

Frolio spoke with John Furrier (@furrier), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, and guest host Lauren Cooney (@lcooney) at the DevNet Create event in Mountain View, California. They discussed what enterprises are hungry to learn when it comes to IoT. (* Disclosure below.)

IoT education and risk taking

Just like companies had to understand what big data could do, technologies supporting IoT need that same kind of education for potential customers. “There’s a lot of confusion,” Frolio said. “There’s an appetite to learn more, to understand what this IoT thing is and how can they use it. How can they help us make more money.”

For his role at IBM, Frolio educates companies on why IoT is important and how to best leverage these emerging technologies. While Frolio sees a lot of confusion within companies, there are some amazing case studies he’s been able to be part of — such as a company that is using drones to look for anomalies on pipelines.

“[The drones] really need to be able to look for things that shouldn’t be there — so computer vision, machine learning, deep learning,” Frolio said. IBM is working with the company on how to help get the technology just right to live on the drone, be able to do image recognition, and have high accuracy in real time.

“That’s an exciting, awesome use case to be able to do computer vision on the fly using these neural networks to make decisions,” Frolio stated.

Enterprises and businesses that are risk adverse are going to excel with IoT, according to Frolio. “The companies doing this work are really hardcore tech … or these young entrepreneurs who really don’t have much to lose and they have these great ideas. They’ll take the chance,” Frolio concluded.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the DevNet Create 2018 event. (* Disclosure: TheCUBE is a paid media partner for DevNet Create. Neither Cisco Systems Inc., the event sponsor, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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