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Create a Culture of Innovation with the 10 Laws of Trust

Leapfrogging

We’ve seen what happens to companies when customers lose trust in their brands – just think Target (data breach), Chipotle (E. coli outbreak), and Facebook (selling user data). But how does trust relate to employees inside of organizations and corporate cultures?

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

By harnessing the power of AI, organizations are able to process vast amounts of data, identify patterns, and make more informed decisions at every phase of the innovation process. AI offers the ability to process vast amounts of data, identify patterns, and provide insights that are beyond the capability of human analysis.

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Ideation Rate: Quantifying a Culture of Innovation

Planview

MIT’s Sloan Management Review recently published a story that focuses on the research Spigit conducted with Northwestern University’s Kellogg School of Management around quantifying a culture of innovation. In other words, we set out to move beyond the why behind creating a culture of innovation and look at the how.

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41 Ways Business Leaders Can Foster a Culture of Innovation

Idea Champions

Yes, we know you want your organization to be more innovative. And yes, we know you want to improve your organization's culture of innovation. Provide timely feedback and data to everyone so they can identify what is working and what needs fixing. The best place to start? Reward new thinking. When you delegate, delegate.

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Quantifying a Culture of Innovation

Examining five years of anonymous data from over 6 million users in 170+ countries, Spigit has discovered that a culture of innovation can be measured – with a 99% statistical confidence level – by a metric called "ideation rate." Download the eBook now for an in-depth look at this groundbreaking study.

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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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Emerging Blueprint for thinking through the Hierarchy of Ecosystem Needs

Paul Hobcraft

Actionable Steps: Invest in data analytics and modelling to uncover hidden patterns. Foster a culture of curiosity and continuous learning to adapt to evolving complexities. Actionable Steps: Adopt integrated technologies that support collaboration and data-driven decision-making.