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Identify and Engage Key Players with Artificial Intelligence

Leapfrogging

AI’s ability to analyze vast amounts of data and generate insights can significantly improve how you identify and engage key stakeholders. This personalized approach can increase stakeholder engagement and support for change initiatives. Key players, or stakeholders, can significantly influence the outcome of a project.

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How A.I. can help you better lead projects and teams

Idea to Value

You may know that in addition to my work on innovation and creativity , I work as a professional Project Manager. As I’ve just finished leading an 18-month project, I am reflecting on how project management and leading teams is changing as Artificial Intelligence becomes more common in the workplace. Let’s dive in.

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Context Map Canvas Template

Leapfrogging

Real-world innovation projects rarely happen in isolation. Spot emerging trends and opportunities to inform product or service design. These insights would inform product roadmaps, go-to-market strategies, and investment priorities. Below is a step-by-step guide to using this tool effectively in innovation projects.

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Discovery Driven Planning Template

Leapfrogging

Instead of building a rigid business plan based on speculative projections, DDP encourages teams to identify key uncertainties, design experiments, and refine the strategy as new information emerges. Below is a practical guide to applying DDP in innovation projects. User engagement or retention metrics.

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Best Practices for a Marketing Database Cleanse

As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. Entrusting a vendor to help maintain its accuracy and completeness is no ordinary engagement. What’s involved in their maturity process?

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Benchmarking Template

Leapfrogging

Benchmarking is not about imitationits about learning from others to accelerate progress, improve competitiveness, and inform strategic decision-making. Benchmarking in Innovation Benchmarking plays a critical role in real-world innovation projects by providing data-driven insights that inform both strategy and execution.

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Using AI to Plan and Prioritize Innovation Initiatives

Leapfrogging

By leveraging AI, you can enhance your ability to analyze vast amounts of data, identify emerging trends, and make informed decisions. AI tools can process information at a speed and accuracy that surpasses human capabilities, providing you with insights that drive innovation forward. Lead Successful Innovation Projects!

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5 Early Indicators Your Embedded Analytics Will Fail

In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late.