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The Importance of Staying Scrappy in an AI-Driven Era

Tullio Siragusa

As AI and sophisticated systems become the norm, it’s essential for organizations to retain their creative spirit, agility, and grit. Customer research, user testing, concept ideation — these tasks require a deep understanding of human needs and emotions. Testing a new marketing tactic may get delayed due to legacy system constraints.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

By embracing Design Thinking principles differently in the future of innovation, organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity. Moving to the edge : Organizations are becoming more agile by adopting an “edge” approach.

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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

By adopting a composable approach, organizations can achieve greater agility, adaptability, and scalability in their innovation efforts. Platform Components : Idea management software, online communities, social media listening tools, collective intelligence, corporate venturing, and design thinking.

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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

Here’s how AI interplays with different aspects of innovation management: Aspect of Innovation Management AI Integration Ideation AI can generate and evaluate new ideas by analyzing large datasets. Research & Development AI tools can simulate and test product scenarios, reducing the need for physical prototypes.

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Building the innovation stack

Paul Hobcraft

We can mix and match different emerging or established innovation approaches but sometimes miss valuable points and due to this lack of “being connected up” we lose flexibility, sometimes meaning and miss some of the potential value as the parts are not as well interlinked or dynamic; we screen out more than we add-in.

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The UX Professionals’ Guide to Working with Agile Scrum Teams

Boxes and Arrows

The adoption of Agile software development approaches are on the rise across our industry, which means UX professionals are more likely than ever to support Agile projects. I first encountered Agile Development in 2005, when a team I supported was chosen to help pilot Scrum development methodology at Yahoo!

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The Future of Design Thinking: Embracing AI Tools for Success

Leapfrogging

Ideate : Generating a range of possible solutions. For a deeper understanding of how AI can enhance the ideation phase, explore our article on ai-driven design thinking strategies. Ideate AI models suggest a diverse set of potential solutions. It helps teams to observe and develop empathy with the target user.