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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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Unleashing the Power of AI in Innovation Management

Leapfrogging

However, with the advent of artificial intelligence in innovation management , these stages and gates are being reimagined. AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process.

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As digital transformation unfolds, it pays to be a generalist

Jeffrey Phillips

What I think is another interesting and similar question is emerging in machine learning and artificial intelligence. I think it is likely that the people whose jobs are most at risk from machine learning are the deep specialists, who have really deep but narrow knowledge. Take, for example, breast cancer.

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Unleashing Innovation: Mastering AI-Driven Design Thinking Strategies

Leapfrogging

The integration of Artificial Intelligence (AI) in this process has opened up new avenues for innovation and efficiency, leading to the development of AI-driven design thinking strategies. By analyzing user data, AI can help design teams to create more tailored experiences that meet specific user needs.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Applying AI and Machine Learning to Patent Data Analysis

Yet2

Artifical intelligence (AI) and machine learning techniques are changing the world of patent data analysis. These facts make patent data very suitable to be processed with machine learning techniques. These facts make patent data very suitable to be processed with machine learning techniques.

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How Communities Are Leveraging Technology to Address Racial Equity

IdeaScale

Overview: Technology is allowing communities to both understand the scale and the nature of racial inequity in their midst. By improving access to technology, developing more effective technology, and using it to drive policy, they’re beginning to address long-standing racial issues. Is Technology Biased?