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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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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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4 Mindsets to Grow Through Innovation

Innovators Alliance

I hope you enjoy this excerpt from an article I wrote for BOSS Magazine that introduces the importance of measuring an organization’s mindset. For example, whether the organization has a competitive spirit that strives for profits, and/or an entrepreneurial spirit that strives for new ideas and growth.

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6 Simple Growth Hacks for Startups

Leapfrogging

That’s because it’s incredibly hard to cut through the noise and establish a new brand, website presence, and business model in today’s increasingly cluttered competitive world. Also include a plug at the end of the video for where the viewer can learn more (e.g., your website). Build Email Relationships.

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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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How to See Your Hidden Assumptions

Leapfrogging

When it comes to developing your strategy or innovating, get clear on what you need to know and learn. Your limiting assumptions can be about personal skills, team knowledge and abilities, organizational capabilities, market needs, technology, financial limitations, partnership possibilities, competition, or just about anything else.

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DISRUPTIVE THINKING

Michael Michalko

This example comes from the ultra-competitive drinks industry. Our students should be learning to think disruptively. In a recent interview with Wired Magazine (UK) he said “At school, you’re not allowed to fail; the wrong answer is a bad thing. And this, really, is my point. This is not enough.