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The future interplays between design thinking, technology and AI

Paul Hobcraft

Exploring the interplay between Humans, Technology and AI for design thinking Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI? This involves moving computing power, data storage, and decision-making to the edge of operations.

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Maximizing Efficiency & Productivity: 3 Ways GenAI Optimizes Value Stream Management for Tech Leaders 

Planview

It’s no surprise the abundance of moving parts contributes to an ever-ambiguous world for software delivery. With a multitude of products and services that companies serve to customers, the recognition of Value Stream Management (VSM) in modern software delivery has never been stronger. What is genAI?

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Using Generative AI to Drive Corporate Impact

TechEmpower Innovation

Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact. Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies.

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The Importance of Staying Scrappy in an AI-Driven Era

Tullio Siragusa

The Importance of Staying Scrappy in an AI-Driven Era In an age of rapid technological advancements, companies everywhere are embracing artificial intelligence (AI) and automation to modernize their operations. Customer research, user testing, concept ideation — these tasks require a deep understanding of human needs and emotions.

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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

AI technologies are enabling a more data-driven approach to innovation management, enhancing the ability to predict trends, understand consumer behavior, and generate creative ideas at scale. Consumer Insights AI can analyze consumer data to uncover hidden preferences and needs.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

So this post reviews many great contributors to advancing innovation over the years. These tools and techniques enable ideation, validation, design-build and scaling. Artificial Intelligence (AI) and Machine Learning : With the explosion of big data, AI and machine learning have become increasingly important in innovation.

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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.