IoT and the Future of Work

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The Internet of Things is already transforming how we work in surprising ways. 8 case studies compare the past and present with 3 lessons to actually make work better.

Technology

IoT and the Future of Work
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Our Past Is Still Here
Image: Grid Magazine

8 Case Studies
The Past is Still Here
But Tomorrow has Arrived

Today: Space is Scalable
Image: Mike Hopkins / NASA via Twitter

Today: Protect the Planet
Image: Insight Robotics

Past: Mobile Data = Good Fortune
Image: Gizmodo

Past: Video Team
Image: RCA via Wikipedia

Images: Samantha Robinson, Viola Sutanto, Cheree Berry all via Red Clay
Today: Design by Network

Past: Mainframe Bio
Image: Bobgjalindovia Wikipedia

Image: Spire
Invest in People (Seriously)

“Things do not happen.
Things are made to happen.”
- John F. Kennedy

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THE TRADITIONAL WORKPLACE, AS WE'VE KNOWN IT, DOESN'T EVEN EXIST TODAY. The explosion of new technologies, mass adoption of social channels, ubiquity of mobile and connectivity, and proliferation of devices continue to drive massive transformation, but at what cost? How can large organizations collaborate, integrate, and innovate quickly enough to survive at the speed of their customers? What are the questions we could or should be asking to really make changes for work that make sense? The answers lie only in bringing the brightest minds together to figure it out.

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You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet. IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data. IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things. IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.

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In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist). What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).

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