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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

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Recognizing the value of innovative interplays for design thinking impact.

Ecosystems4Innovating

First, let’s look at the growing impact of Technology on Design Thinking Technology continues to provide designers with powerful ideation, prototyping, and visualization tools. Machine Learning and AI-Driven Insights : Integrating AI and machine learning into the Design Thinking process can provide valuable insights.

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Digital Technology MoshPit

Gregg Fraley

Participants in MoshPit sessions do extensive preparation, including research and ideation, alone, before the group event. This contemplative pre-ideation starts the group meeting at a more advanced stage of thinking. Teams don’t come up with breakthrough ideas in one day, this is why so many ideation sessions fail.

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Industry 4.0

eZassi

It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain. His or her idea must be recorded, reviewed, and promoted in a systemized process of non-siloed corporate ideation.

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Capabilities and Leadership Close the Skills Gap in Manufacturing

Innovation 360 Group

The industry will need to add manufacturing software engineers, robotics specialists, machine learning specialists, automated systems engineers, cybersecurity specialists as well as designers, product engineers, developers, analysts, pricing strategists and procurement specialists, many of which are forecast to be in short supply in years ahead.

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Disaster: CEO’s Ignoring Digital Innovation

Gregg Fraley

Internet of Things (IoT) devices, sensors, and wearables introduce game-changing opportunities. Analytics contribute to a spectrum of sophistication with advanced analytics, data visualization, machine learning, cognitive computing, artificial intelligence , etc. For some, it may appear daunting.

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Why Trends, Technologies and Inspirations matter in Innovation

ITONICS

If you add some openness to that process (there are many books on Open Innovation to learn more) you’ll find more and better ideas because your clients, suppliers and some students you know can tell you all about their needs and the future in general, as you and your co-workers are blinded by being with the same company for a long time.

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