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FinTech and Machine Learning

IdeaScale

When people talk about machine learning they are a referring to a type of artificial intelligence that has the ability to learn without explicit programming. And machine learning could be applied towards many of those already (for example: using data to optimize for consumer buying behavior).

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Jack Welch’s GE Was The Wrong Model To Take From The 90s. Lou Gerstner’s IBM Is The Right One

Digital Tonto

When Jack Welch was named “Manager of the Century” by Fortune magazine in 1999, it was still unclear what his legacy was going to be. Welch increased profits largely by “financializing” the firm. He made it possible for the nearly century-old firm to become a pioneer in open-source development, artificial intelligence and genomics.

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Five Must-Attend Innovation and Technology Conferences in 2018

IdeaScale

There are many great technology conferences in 2018, but these five are particular standouts for innovation this year: Chicago Ideas. SXSW may have made its name as a music festival, but its technology side has become increasingly important and even fascinating. Chicago, Year-Round Events. The Fast Company Innovation Festival.

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Artificial-Intelligence for decision-makers, Stockholm

Innovation 360

How can artificial-intelligence lift your business? There is a lot of talk about artificial-intelligence (AI) right now, mainly about the risks involved in technology development. Magnus Penker presents: How Does Artificial Intelligence Work and What is Deep Learning?

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Create Personalized Customer Experiences And New Business Models That Generate New Revenue Streams

Leveraging Networks

By introducing combinations of intelligent technologies, services, and industry expertise, it’s possible to unlock product and service innovation through the incorporation of intelligent technologies like artificial intelligence , machine learning , the Internet of Things , and blockchain.

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Focus On Customer Experience – Your Customers Will Thank You

Leveraging Networks

In addition, businesses must consider their global customers, meaning they must be able to cater to a variety of needs and preferences that stem from different cultures, languages, and laws. Simply because something has always been done a certain way does not mean it will continue that way, even if the old model has been successful.

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You can't burn data

Jeffrey Phillips

This comparison was strong enough to lead Wired magazine to define data as the new oil in a magazine article some years ago. Both data and oil are commodities, and exist to some degree in large volumes. Veracity or truthfulness or data quality is obviously key, especially when training a machine learning algorithm.

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