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The future interplays between design thinking, technology and AI

Paul Hobcraft

New analytics approaches powered by artificial intelligence (AI) can identify real-time data patterns, helping anticipate trends and inform decision-making. Moving to the edge : Organizations are becoming more agile by adopting an “edge” approach.

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

Ecosystems4Innovating

Human designers can conduct user interviews, surveys, and usability testing while maintaining open communication channels to gather insights that inform design decisions. AI can assist in idea generation and optimization, but it lacks the capacity for originality and the ability to envision entirely new possibilities.

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Digital Technology MoshPit

Gregg Fraley

For example, Blockchain is typically thought of as a database technology, so the obvious applications are where databases are used now, like customer information, order entry, or patient medical records. The secret sauce in the design of a MoshPit session is how fresh thinking is scaffolded through the discovery and idea generation process.

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Nine Questions CEO’s Should Ask About Innovation

Gregg Fraley

There are great frameworks and tools out there for innovation projects, like Design Thinking, Agile, Lean, and blended processes. The information they gather is a necessary jumping off point for invention and ideation. This has to do with the “how.” Innovation requires a different mindset and approach than normal operations.

Project 74
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7 Habits of Highly Innovative Companies

ITONICS

Large corporations have taken steps towards being more agile and adapting to the rapid pace of digitization by improving their oftentimes long innovation processes and giving more autonomy to employees. Companies have already started linking innovation to data analytics to solve a variety of problems. Adapt or die.

Company 57
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The Challenges being Faced by Innovation Consultants

Paul Hobcraft

There also seems this perpetual dilemma of clients’ wishes that are hard to reconcile with operational realities to turn their organizations from being focused on effective and efficient into agile and adaptive ,required for innovation. The need for ecosystems, platforms, the greater use of analytics, big data and reliance on technology.