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The Future of Design Thinking: Integrating Artificial Intelligence for Success

Leapfrogging

Embracing the Evolution: AI Meets Design Thinking The intersection of artificial intelligence and design thinking is poised to redefine the landscape of innovation and strategy. From healthcare to finance, AI’s ability to process vast amounts of data at unprecedented speeds has revolutionized traditional practices.

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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

I am suggesting a vertical and horizontal design applying innovation stack and building block approaches, all “housed” on a technology platform. Are we leveraging Artificial Intelligence (AI) or Machine Learning enough from the explosion of data to identify patterns and insights leading to emerging concept creation?

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Calculating the Six Hidden Costs of Waste in Software Development 

Planview

Misaligned Work Misaligned work occurs when tasks are not directly aligned with an organization’s highest priorities, often due to unclear communication or poor understanding of these priorities. This helps avoid the accumulation of unmanageable work due to multitasking. It is recommended to keep WIP (Flow Load) at about 1.5

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Intentionality and the Differentiating Competitive Advantage 

Planview

It examines anonymized data from over 3600 value streams, representing over 38K individuals across the value chain from ideation to value. To my knowledge, we are the only organization with access to such a large and complex value stream data set. They designed intentionally for the success of their transformation.

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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.

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Using End-to-End Visibility to Scale and Streamline Automotive Production

Planview

Unlike traditional manufacturing processes characterized by tangible endpoints, software development for vehicles is inherently iterative and demands agility to keep pace with evolving technological requirements. Furthermore, enhancing governance and consolidating data are instrumental in improving speed and efficiency.

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My 5 S for future Innovation: Smart, Stacks, Scale, Storage, and Software

Paul Hobcraft

Technology is radically altering our need for innovation. We see increasingly innovation is feeding off the “ digital response rate ” Connecting technology and innovation is altering how we should re-access organizations ability to build out.