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AI and Innovation Management

eZassi

Amplify Your Innovation Program with AI-Driven Technology Discovery Today’s highly competitive business climate is fueled by the ability to innovate and ride the cutting edge of technology. Companies that fail to embrace emerging technologies risk being eclipsed by more agile, proactive competitors.

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How Leading Consultancies Can Better Manage AI Risk

Harvard Business Review

The answers lie in collaborative initiatives, much like Big Tech’s voluntary AI commitments, which offer a roadmap for consultancies to harness AI’s potential while ensuring ethical conduct.

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What We Learned from the 2024 Vision Award Winners

Planview

Additionally, they’re able to identify how teams are performing, learning from the high performers and sharing those best practices with others. “Planview Portfolios has allowed our division to manage our capital portfolio projects for all locations worldwide.

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Managing Energy Transition through Innovation

Paul Hobcraft

The critical enabler will come from technology and systemic innovation. Innovation needs to be broader than just being conducted through technological research and development; it requires a more significant integrated innovation model that has business models, policies, processes, and market design as part of the solutions.

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Measuring Innovation Performance

Download this eBook to learn about the 5 basic principles that guide every successful innovation process. Why do only a third of the organizations worldwide have formal innovation metrics in place despite accepting that innovation is critical to survival?

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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

Today we are missing a comprehensive structure or innovation process to achieve this, we need a radically different approach to managing innovation. I am suggesting a vertical and horizontal design applying innovation stack and building block approaches, all “housed” on a technology platform. Nothing can work in isolation.

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Mapping Out Your Innovating Way Forward

Paul Hobcraft

Second, there is the need to build reference points for future innovation activities , so duplication and learning can be built into understanding. This then needs to be well planned out in a roadmap of initiatives, identifying and resolving the key components and establishing a framework of how this will be moved forward.

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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.