Cybersecurity Trends According to Cisco and Tennessee’s Transportation CIO

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Digital transformation is rapidly moving the transportation industry from a closed, proprietary and analog ecosystem to open, networked, always-on mobility platform. It is already a prime example of the efficiency and revenue-generating potential of the Internet of Things (IoT) and soon, as we are promised by legacy and upstart automakers, it will become the prototype of the autonomous, AI-driven, robotic future.

Becoming digital, however, means a new life in the cybersecurity trenches.

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Digital Guardian Cybersecurity at Jabil

cyber501x_image_378x225When John Graham joined Jabil four years ago as its first Chief Information Security Officer (CISO), he found an IT environment that was an early adopter of cloud computing but did not have a security focus. Capitalizing on the availability of high-quality, cloud-based security tools and services, Graham was able to quickly and cost-efficiently develop a comprehensive cybersecurity infrastructure with Digital Guardian’s managed services at its core.

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2018 Predictions: AI and Jobs

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A recent Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.

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2018 Predictions: The Internet of Things (IoT)

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In a recent report, Predictions 2018: IoT Moves From Experimentation To Business Scale, Forrester Research predicts that the IoT will become the backbone of future customer value, the IoT infrastructure will shift to the edge and to specialized IoT platforms, developers will have a significant impact on platforms and initiatives, and security will remain a key concern.

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2018 Predictions for AI, Big Data, and Analytics

crystalballA recent Forrester Research report, Predictions 2018: The Honeymoon For AI Is Over, predicts that in 2018 enterprises will finally move beyond the hype to recognize that AI requires hard work—planning, deploying, and governing it correctly.

But Forrester also promises improvements: Better human and machine collaboration due to improved interfaces; enhancing business intelligence and analytics solutions by moving resources to the cloud; new AI capabilities facilitating the redesign of analytics and data management roles and activities and driving the emergence of the insights-as-a-service market.

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Kai-Fu Lee on Why China will Lead in AI

Kai-Fu Lee is very bullish about the future of AI in China. He started his lunch keynote at MIT’s AI and the Future of Work event by predicting that self-driving cars will become a mass phenomenon in the U.S. in 15 to 20 years. But in China it will be “more like 10 years.”

That may come as a surprise to many American observers of and participants in the rush to capitalize on recent progress in artificial intelligence. Especially when such predictions come from someone with the stature of Kai-Fu Lee and his deep familiarity with the state-of-AI in both North America and China. Lee completed his PhD in artificial intelligence (speech recognition) at Carnegie-Mellon University in 1988, worked at Apple, SGI, Microsoft and Google and, in 2009, established Beijing-based Sinovation Ventures, an early stage venture capital firm.

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Read Kai-Fu Lee on China’s AI Revolution, December 2017 (PDF)

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U.S. Smart Home Devices to Reach 244 Million in 2022

Driven by the rapidly growing adoption of smart speakers, the installed base of smart home devices in the U.S. will reach 244 million in 2022, up from 24 million in 2016, according to a new Forrester Research forecast. Amazon sold over 11 million Amazon Echo devices in 2016, and Forrester expects this number to double in 2017. Smart speakers, including Amazon Echo, will account for 50% of the total installed base of smart home devices in 2017 and will reach 68% by 2022.

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