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    Editor's Pick (1 - 4 of 8)
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    The Right Technology And Reliable Partners; The Business Next Frontier

    Luke O'Brien, CIO, ISS Facility Services Australia & New Zealand

    Conquering Technological Transformation

    David Kennedy, Group CIO, Transaction Services Group

    How to Get to AI-first

    Ani Paul, CIO, ING Australia

    Legal Knowledge Management and the Rise of Artificial Intelligence

    Christopher Zegers, CIO, Lowenstein Sandler LLP

    Building an AI-Based Machine Learning for Global Economics

    Alexander Fleiss, CIO & CEO, Rebellion Research Partners LP

    Doing Analytics vs Scaling Analytics

    Ram Thilak, Global Head of Data Science and Analytics, Inchcape PLC

    The City of the Future Is Connected, Resilient, and Sustainable

    Chew Men Leong, President/Head, Urban Solutions, ST Engineering

    Changing the tester DNA -From tester to Software Development Engineer in Test (SDET)

    Bernd Bornhausen, Senior Manager QA, TD Insurance [NYSE: TD]

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    AI, Machine Learning, and Deep Learning in Marketing

    Thomas Brauch, Head of Analytics, Wunderman

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    Thomas Brauch, Head of Analytics, Wunderman

    Every day the ways we connect with technology are becoming more interactive, intelligent, and relevant. As technology becomes more cognitive and engaging, marketers need to be aware of the analytics behind this technology and how they can use it to better connect with their customers.

    As consumers, all of us are engaging with technology in new ways. We have surely been able to talk to our phone, TV, or car for some time and give simple directions. But now these devices talk back and can engage in an iterative dialogue to perform more complex tasks, identify patterns in our behavior, and even make recommendations. And devices are taking in information from and making decisions based on their environment and performing autonomous activities like self-driving.

    This innovation is driving new capabilities like the robot delivery services in San Francisco, Redwood City, and later this year in London, Düsseldorf, and Bern.

    Robots delivering daily essentials and treats to your front door is one use case that demonstrates why Forrester predicts investment in AI and machine learning will triple in 2017.

    One of the key breakthroughs in machine learning that greatly improves how computers process and learn is deep learning

    But what is machine learning, why now, and how will it improve marketing and how brands can connect to their customers?

    Simply put machine learning enables computers to learn autonomously without being explicitly programed.

    The recent explosion AI and machine learning is driven by a bunch of cool new hardware and software—better sensors, better data structures (Hadoop with distributed computing) and better processors (GPU’s) running more complex analytics. One of the key breakthroughs in machine learning that greatly improves how computers process and learn is deep learning. Deep learning in turn is machine learning using neural networks.

    So, what are neural networks? Simply put, neural networks are learning systems modeled on the human brain comprised of multiple “neurons”. Each network contains neurons, often lots and lots of neurons connected in layers. These neurons, like those in the human brain, take information, process that information, and then make a decision to fire (pass information to other neurons) or not fire. Information is passed through the network of neurons and along the way patterns can emerge. The combination of multiple neurons, working together, eventually leads to a decision. And like the human brain neural networks also change the importance or weight given to an input or pattern to make a decision as the network learns.

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    Machine Learning

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    Jonathan Chang, Director

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