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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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Getting Machine Learning Projects from Idea to Execution

Harvard Business Review

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?

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How Large Language Models Reflect Human Judgment

Harvard Business Review

Artificial intelligence is based around prediction. But large language models represent a key advance: OpenAI has found a way to teach its AI human judgment by using a simple form of human feedback, through chat. But decision making requires both prediction and judgment.

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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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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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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

From its inception to the current state, the processes governing the development of new products and services have continuously evolved to incorporate new methodologies and technologies. Traditional Phases and Gates Processes Traditionally, the phases and gates model has been a cornerstone in structuring innovation management.

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Do we really care about (artificial) intelligence?

Norbert Bol

Sorry for not keeping my promise to blog more in 2020 about responsible technology and artificial intelligence as I wrote in Happy New Year: The new roaring ’20 s. Responsible use of the digital enabled technologies that often inhibit artificial intelligence is still a topic of debate. Schneider et al.