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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. These programs can grow and change on their own once they know how to learn and some financial companies are beginning to use machine learning for a variety of different reasons.

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Agility is the 2023 Success Factor

Leapfrogging

That’s because there’s never been more uncertainty – around technology, the economy, global-political turmoil, and just about everything else. Evaluate progress: Based on what you achieved, what did you learn, and what’s the next logical set of short-term goals? Iteration drives learning and success.

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Accelerate Innovation — With Experiential Learning

Gregg Fraley

Experiential Learning Accelerates Innovation. New Study: Drawing is the Fastest, Most Effective Way to Learn. I read with interest an article stating that drawing accelerates learning. Using experiential learning tools like drawing isn’t really new in innovation process. Magazine by Jessica Stillman.

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Why campfires are the perfect analogy for innovation

Jeffrey Phillips

Some more intrepid scouts had learned to create sparks by striking flints. Practice We scouts didn't get good at building fires by doing this occasionally, but by trial and error and by learning from our peers and our scout leaders. Believe me, you learn to build your fires carefully when you have a limited supply of matches.

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Why “Never Stop Learning” Is As True for Your Life As It Is for Your Business

The Human Factor

What you learned in a class just a couple of months ago might not be accurate or valid any longer. However, others involve having to go the extra mile to find out about what the competition or benchmark companies are doing. This education can come from magazines, articles, reviews, or even the news. Everything is learning!

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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. Veracity or truthfulness or data quality is obviously key, especially when training a machine learning algorithm. After all, both are abundant commodities that can create value.

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DISRUPTIVE THINKING

Michael Michalko

This example comes from the ultra-competitive drinks industry. Disruptive Thinking is really a term I have only heard Luke Williams use in any broad sense, as something applicable outside of technology. Disruptive technology is important to education. Our students should be learning to think disruptively.