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Five things business leaders should know about machine learning and AI

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For Deep Knowledge Ventures, the Hong Kong-based venture firm that added a machine learning algorithm named VITAL to its board in 2014, it was about adding a tool to analyse market data around investment opportunities. For global professional service firms experimenting in this space, machine learning could allow deeper and faster document analysis. And though you may not think you are competing with Silicon Valley salaries for talent, you are if you want great people: a great data scientist can easily be 50 times more valuable than a competent one, which means that both hiring and retaining them can be pricey. As the machine learning ecosystem evolves, companies will find interesting ways to combine in-house industry experience with a range of off-the-shelf tools and open source algorithms to create highly-customised decision-support tools.


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Intel's acquisition earlier this month of Nervana Systems is another example of how startups are preparing to disrupt the worlds largest industries using Artificial Intelligence. DCVC, a venture capital fund that invests in entrepreneurs applying cognitive computing, big data and IT infrastructure technologies to transform giant industries. The company wrote this overview on the services Nervana Systems is already deploying with the goal to disrupt the world's largest industries. Source: Standing on the Shore*: How AI is Disrupting the World's largest Industries by DCVC.


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Steve recognises the "disruptive and pervasive" impact AI is already having on business: "AI is enabling companies to achieve improved operational efficiency, develop new and improved products and services, and most significantly entirely new business models. Universities are particularly well suited for interdisciplinary approaches that include multiple technical disciplines as well as the liberal arts, humanities, arts, and social sciences. "Data sharing agreements with appropriate protections for sensitive confidential information enable university data science researchers to develop practical algorithms using real-world data. Municipal, state, and national governments are working to improve accessibility and the democratization of data.


Super Optimized Manufacturing through Machine Learning InTouch Quality Control

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If you'd like to read more about the awesome potential of machine learning, check out the article in the link below: The era of globalization has brought about both advantages and disadvantages. With the variety of cutting-edge technology available at the UA Lighthouse, the company wants to develop best practices for all of its products that are made domestically and abroad. To hear more about what the industry is saying about the UK's recent decision, check out the article in the link below: In the past few years, there's been a greater and greater focus on autonomous cars and commercial vehicles. At the recent Autonomous Ship Technology Symposium 2016 in Amsterdam, Rolls Royce released a white paper that details how autonomous freight ships are technically and economically feasible.


David R. Cheriton School of Computer Science, University of Waterloo – Canada

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The Cheriton School is part of Waterloo's highly regarded and unique Faculty of Mathematics, which also placed in the top 20 in the 2015 QS rankings With those credentials, it is little wonder that the Faculty has more than 7,500 graduate and undergraduate students. "At the University of Waterloo, we build innovative, high-impact platforms, systems, and applications for tackling the big data challenge," says Prof. Jimmy Lin. To produce globally influential technology leaders, the Cheriton School has formed 16 different research groups of professors and graduate students, who explore innovations in a myriad of areas such as human computer interaction, machine learning and artificial intelligence, algorithms and complexity, bioinformatics, information retrieval and database systems, symbolic computation, and quantum computing. The Cheriton School is a world leader in computer security and privacy, developing and researching tools used by millions of people every day to protect the security, privacy, and integrity of their online communications.