Source: Venture Scanner
Mobile Tipping Points
In June 2017, the number of active phone connections (7.7 billion) exceeded the world’s population for the first time ever.
The judging panel thought this statistic was worthy of ‘Highly Commended’ status as this landmark was finally reached in 2017 after several years of dramatic increases in phone connections around the world.
It now seems astounding that, in 2001, more than half of the world’s population had yet to make their first phone call.
Sources: Statistics of the year 2017, GSMA Intelligence
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2018 Predictions: Artificial Intelligence (AI)
It is somewhat safe to predict that AI will continue to be at the top of the hype cycle in 2018. But the following 51 predictions also envision it becoming more practical and useful, automating some jobs and augmenting many others, combining machine learning and big data for fresh insights, with chatbots proliferating in the enterprise.
2018 Predictions: Cybersecurity
Like death and taxes, there are only two safe predictions about cybersecurity in 2018: There will be more spectacular data breaches and the EU General Data Protection Regulation (GDPR) will go into effect on May 25. But as the continuing digital transformation of our lives entails the ongoing digital transformation of crime, vandalism and warfare, 2018 could also bring a lot of new takes on old vulnerabilities, some completely new types of cyberattacks, and successful new defenses.
The following list of 60 predictions starts with three general observations and moves to a wide range of cybersecurity topics: Attacks on the US government and critical infrastructure, determining authenticity in the age of fake news, consumer privacy and the GDPR, the Internet of Things (IoT), Artificial Intelligence (AI) as a new tool in the hands of both attackers and defenders, cryptocurrencies and biometrics, the deployment of enterprise IT and cybersecurity, and the persistent cybersecurity skills shortage.
Cybersecurity Trends According to Cisco and Tennessee’s Transportation CIO
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
When 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
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)
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
A 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.
[youtube https://www.youtube.com/watch?v=znfOevNzjBo]
Read Kai-Fu Lee on China’s AI Revolution, December 2017 (PDF)
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