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Leveraging AI to Drive the Innovation Lifecycle

Leapfrogging

Innovation Lifecycle Management (ILM) refers to the systematic process of managing the journey of an idea from inception to market release. Commercialization : Bringing the final product to the market. AI-Driven Market Research : Conducting in-depth market analysis swiftly and accurately ( ai-driven market research ).

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Using AI to Plan and Prioritize Innovation Initiatives

Leapfrogging

Artificial Intelligence (AI) is revolutionizing the way innovation professionals approach product roadmapping and strategic planning. AI in innovation management involves using machine learning algorithms, natural language processing, and predictive analytics to streamline and optimize various stages of the innovation process.

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Accelerating Product Development with AI Tools

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Artificial Intelligence (AI) is revolutionizing the way you manage innovation. AI’s role in innovation management includes: Idea Generation : AI algorithms can analyze market trends and consumer behavior to suggest new product ideas. Explore this further in our article on AI-driven market research.

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Innovation Horizons Model​ Template

Leapfrogging

Each horizon represents a different timescale, level of uncertainty, and type of innovation, allowing businesses to manage the present while preparing for the future. It was popularized by McKinsey & Company and has since been widely adopted across industries as a roadmap for growth, adaptability, and strategic foresight.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Stakeholder Engagement 👥 Learn strategies to secure buy-in from sales, marketing, and executives. Setting & Managing Expectations 📊 Establish and effectively manage realistic expectations for the performance, capabilities, and limitations of LLM-based products throughout their lifecycle. Save your seat today!

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70-20-10 Innovation Rule Template

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It proposes that approximately 70% of innovation investment should focus on improving existing products and processes, 20% on expanding into adjacent markets or offerings, and 10% on exploring transformative, disruptive ideas that could redefine the business. This area leverages existing capabilities but requires some adaptation.

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Discovery Driven Planning Template

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It is particularly useful in situations where assumptions outweigh factssuch as launching a new venture, developing disruptive products, or entering unfamiliar markets. Discovery Driven Planning in Innovation In innovation projects, Discovery Driven Planning plays a vital role by providing a clear roadmap for navigating unknown territory.

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5 Early Indicators Your Embedded Analytics Will Fail

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. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Why the Product Message Should Come From Product Management

Speaker: Jordan Bergtraum, Head of Product at Equip ID & Consultant

Features and benefits may be part of the overall product marketing plan, but they are NOT the basis for a compelling “Product Message”. Product Managers may feel the “message” should be developed by the Product Marketing function, but I disagree. How to use the messaging to validate your roadmap.

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Everything You Need to Know About Crypto

Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy

With 20% of Americans owning cryptocurrencies, speaking "fluent crypto" in the financial sector ensures you are prepared to discuss growth and risk management strategies when the topic arises. May 18th, 2023 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm BST

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Shaping the Future: Product Strategy in the Age of Uncertainty

Speaker: William Haas Evans - Principal Consultant, Product Strategy Practice Lead, Kuroshio Consulting

A value-driven product organization optimizes team structures, funding cycles, processes, and metrics to drive traction and growth across the entire product adoption curve by identifying opportunities to solve valuable customer problems and closing those market gaps for either over-served or under-served markets. A System of Metrics.

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Measuring Innovation Performance

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

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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.