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CIO Advisor APAC Weekly Brief

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  • Home
  • Artificial Intelligence
Editor's Pick (1 - 4 of 8)
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IT Strategy in the Age of AI

Kapil Mahajan, CIO, Safexpress

Responsible AI: The Human-Machine Symbiosis

Sal Cucchiara, CIO & Head of Wealth Management Technology, Morgan Stanley

Conquering Technological Transformation

David Kennedy, Group CIO, Transaction Services Group

Edge Computing: Does it Support Customer Intimacy and the Race to Digitization

Mark Thiele, CIO & CSO, Apcera and Chairman, IDCA Technical Committee

Where is the Value in AI?

Mansoor Karatela, CIO, Brisbane Airport Corporation

4Paradigm: Best Emerging AI Startup of the Year

Wenyuan Dai, Founder & CEO, 4Paradigm

Analytics, AI and Insurance

Vishnu Nanduri, Head of Data Analytics, (Non-Life), India, Japan, Korea, and Southeast Asia, Munich Re

Next Generation Marketing Powered by Artificial Intelligence

Arvind Sethumadhavan, Chief Strategy & Innovation Officer, Dentsu Aegis Network APAC

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AI, Machine Learning, and Deep Learning in Marketing

By 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.

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

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.

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 programmed.

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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4Paradigm: Best Emerging AI Startup of the Year

4Paradigm: Best Emerging AI Startup of the Year

Analytics, AI and Insurance

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AI - From buzzword to reality

AI - From buzzword to reality

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