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The future interplays between design thinking, technology and AI

Paul Hobcraft

First, we have the growing impact of technology on Design Thinking Technology continues to provide designers with powerful ideation, prototyping, and visualization tools. Data Visualization and Analytics : Data visualization tools enable designers to distil complex information into visual formats that are easy to understand.

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The Future of Design Thinking: Embracing AI Tools for Success

Leapfrogging

Test : Trying out solutions on a small scale, rejecting those that will not work, and improving the ones that might. AI offers capabilities that can dramatically improve various stages of design thinking by providing actionable insights, predicting trends, and automating repetitive tasks.

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Navigating Technical Debt in the Automotive Industry

Planview

The expansive network of millions of lines of code poses practical obstacles, necessitating extensive rework, decision-making amid incomplete data, and effective work prioritization, all while grappling with the looming risk of isolated improvement initiatives.

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The value of three horizon mapping for a Sustainability Journey.

Paul Hobcraft

One which incorporates a more circular model of management that builds a more purposeful recycling approach that has the objective to reduce the pressures on our use of precious minerals and resources and current consumption patterns. We need a greater horizon projection. To get to this new design, we need different thinking.

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So Where Is Innovation Heading?

Paul Hobcraft

Another of the visuals from the BCG report is indicating the huge differences between leading and lagging companies in how they are leveraging digital to help the following aspects of innovation. I have written a fair amount about the new innovation era, offering a view on its future design.

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Global Race for Innovation

eZassi

You don’t have to be a rocket scientist to know it takes a unified, collaborative effort to achieve projects of this scale. Provide your team an innovation platform- a dedicated, secure solution for ideation, collaboration, and technology discovery, empowering quicker, better educated decisions and project workflow monitoring.

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Data Science: Why and How do you Invest in Data?

mjvinnovation

What is Data Science and why is it so urgent to invest? Data Science is a discipline that studies where information comes from, what it represents, and how it can be transformed into a valuable resource to create business and IT strategies. What technologies and practices are under the umbrella of Data Science?

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