Academia's Facial Recognition Datasets Illustrate The Globalization Of Today's Data


This week's furor over FaceApp has largely centered on concerns that its Russian developers might be compelled to share the app's data with the Russian government, much as the Snowden disclosures illustrated the myriad ways in which American companies were compelled to disclose their private user data to the US government. Yet the reality is that this represents a mistaken understanding of just how the modern data trade works today and the simple fact that American universities and companies routinely make their data available to companies all across the world, including in Russia and China. In today's globalized world, data is just as globalized, with national borders no longer restricting the flow of our personal information - trend made worse by the data-hungry world of deep learning. Data brokers have long bought and sold our personal data in a shadowy world of international trade involving our most intimate and private information. The digital era has upended this explicit trade through the interlocking world of passive exchange through analytics services.

Canada's AI Corridor is Maturing: The Canadian AI Ecosystem in 2018 - jfgagne


Welcome to the now "annual" Canadian AI Ecosystem Map. What a year it's been. The report also goes to feed the excellent (and searchable!) directory at The point of creating this map was to emphasize that the strength lies in the Canadian AI Ecosystem, as opposed to just one city's. This year, we've seen ties strengthen, but also some weaknesses exposed.

Globots and telemigrants: The new language of the future of work


To describe the future of work, Richard Baldwin is developing a new lexicon. The professor of international economics at the Graduate Institute in Geneva warns that we are unprepared for the ways in which new technology is changing the nature of globalization. Baldwin's new book, The Globotics Upheaval: Globalization, Robotics, and the Future of Work, is a natural follow-up to his 2016 book, The Great Convergence. Three years ago, he explained how a third wave of globalization--a collapse in the cost of the movement of people thanks to technology--would be the most disruptive, because it hits workers in the service sector. Baldwin's new book, published earlier this year, breaks down what this disruption will entail.

Robots, AI And Blockchain: How Tech Pioneers Are Exploring New Frontiers In Davos


World leaders and prominent CEOs are likely the first people you picture in Davos at the World Economic Forum's Annual Meeting each January. While you may be more likely to hear these higher profile CEOs weigh in on pressing global issues, these headlines only show a small section of those who attend Davos. Who you're less likely to read about are the thriving groups of smaller business leaders who attend each year. However, these up and coming cross-industry emerging leaders are out in full force at the meeting in Davos each year. One excellent example of how up-and-coming innovators are included in our annual meeting is in our Technology Pioneers.

US companies continue to look overseas for tech talent


A shortage of human capital in the US in the fields of software and IT is driving US multinational companies to establish and expand new "innovation hubs" abroad, according to researchers at Carnegie Mellon University (CMU) and Georgetown University. The researchers in a new report said the US is experiencing constraints on the supply of technology skills, which limit the possibilities for US-based multinational companies to be innovative. This comes within the context of a general trend toward research and development (R&D) globalization that has been underway for years, the researchers said. One of the distinguishing features of the R&D globalization phenomenon is its concentration within the software/IT domain. The increase in foreign R&D has been largely concentrated within software- and IT-intensive multinationals, and new R&D destinations are also more software- and IT-intensive multinationals than traditional R&D destinations, the study said.

Emerald 8 ways to prepare your business for artificial intelligence


Many business leaders are desperate to implement this new shiny development in order to increase innovation, productivity and growth. However, to make AI truly valuable for your business, you need to be prepared! Here we share the results of a survey Accenture undertook to measure AI's potential economic impact on 16 industries. Based on these findings we highlight eight key strategies all business leaders should adopt before implementing AI. To make AI work you need to get the C-suite on board.

Artificial intelligence in the workplace


In tomorrow's workplace, many routine jobs now performed by workers will increasingly be assumed by machines, leaving more complicated tasks to humans who see the big picture and possess interpersonal skills, a Stanford scholar says. Visiting scholar James Timbie says that the artificial intelligence revolution will involve humans and machines working together, with the best results coming from humans supported by intelligent machines. Artificial intelligence and other advancing technologies promise advances in health, safety and productivity, but large-scale economic disruptions are inevitable, said James Timbie, an Annenberg Distinguished Visiting Fellow at the Hoover Institution. He trained at Stanford as a physicist, served as a senior advisor at the State Department from 1983 to 2016 where he played a key role in arms control and disarmament, and now studies the impact of emerging technologies such as artificial intelligence. Timbie discussed what the future may hold for workers in a chapter in the new book, Beyond Disruption: Technology's Challenge to Governance, which he co-edited with Hoover's George P. Shultz and Jim Hoagland.

AI, Globalization and International Basketball @ExpoDX @Schmarzo #AI #IoT


A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world [1]" … The ruler of the world! "The development of artificial intelligence has increasingly become a national security concern in recent years. It is China and the US (not Russia), which are seen as the two frontrunners, with China recently announcing its ambition to become the global leader in AI research by 2030. Many analysts warn that America is in danger of falling behind, especially as the [current US] administration prepares to cut funding for basic science and technology research." Elon Musk, one of America's foremost technology advocates, predicts that countries seeking leadership (and domination) from artificial intelligence will be the basis for World War III[2].

IIoT, Digital Transformation, Smart Manufacturing, Life Sciences


The Life Sciences industry is leveraging IIoT, digital transformation, and smart manufacturing to address some of its primary manufacturing concerns, including improving productivity and reducing costs, the ability to document and secure everything from raw materials to process changes and software version control, and serialization and track and trace capabilities to meet local regulations while ensuring the highest levels of security. The ability to move from batch processes to continuous processes, particularly for bulk pharmaceuticals, is critical, especially with the use of disposable and modular production increasing. As with all industries in an IIoT connected world, cybersecurity continues to be a significant issue and an area that requires further investments. There are a number of market trends shaping the life sciences industry. Global population and life expectancies are increasing.

Making globalization work for SMEs with Artificial Intelligence


AI platform Globality is giving small and medium businesses access to broader opportunities. In a post-Brexit, "America First" world, protectionism seems to be back in fashion, and globalization has become something of a dirty word. Since the 1990s, global trade has helped lift over a billion people out of poverty, driven sustained economic growth, lowered consumer prices, and delivered unprecedented freedoms to much of the world's population. Still, middle-income earners have seen their living standards stagnate, while many of the great leaps forward in automation are destroying the jobs of those least able to cope, with vastly greater levels of disruption feared. Large multinational companies still seem to be the greatest beneficiaries of a globalized marketplace.