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

Leapfrogging

From its inception to the current state, the processes governing the development of new products and services have continuously evolved to incorporate new methodologies and technologies. At these gates, decision-makers review progress and determine the feasibility of moving forward to the next stage.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

Exploring the interplay between Humans, Technology and AI for design thinking Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI?

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HUMAN CREATIVITY AND CREATIVE PROBLEM-SOLVING WITH GENERATIVE AI

ImagineNation

Moving into unchartered job and skills territory We don’t yet know what exact technological, or soft skills, new occupations, or jobs will be required in this fast-moving transformation, or how we might further advance generative AI, digitization, and automation.

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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

The Intersection of AI and Innovation Management Defining Innovation Management with AI Innovation management refers to the process and activities that organizations use to manage and nurture new ideas into marketable products and services. It helps organizations to: Anticipate future trends and consumer demands.

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Maximizing Efficiency & Productivity: 3 Ways GenAI Optimizes Value Stream Management for Tech Leaders 

Planview

But while the increasing number of companies adopting VSM has changed how teams build from project to product, a new innovative approach hits the spotlight: generative AI (genAI). In essence, AI models can take inputs in various forms and generate new content based on the modality of the model. What is genAI?

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Unleashing the Power of AI in Innovation Management

Leapfrogging

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. AI technologies include machine learning, natural language processing, robotics, and computer vision.

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Design Thinking needs a Human Touch in a World of Technology and AI generative thinking

Ecosystems4Innovating

Design Thinking is seen as the essential element that will combine with technology and AI in the future yet it is still the need for the human touch will still be essential. While AI can augment human capabilities in the design process, it cannot fully replace these essential human qualities.