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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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Recognizing the Building Blocks of Innovation

Paul Hobcraft

To look forward, I would argue we always need to look back and account for the progress made in managing innovation over the years. So this post reviews many great contributors to advancing innovation over the years. The need today is not to dispense with this but to link it fully up.

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Responsible Artificial Intelligence

Norbert Bol

Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc. Viewing AI-systems from a risk management perspective.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Moreover, the most significant obstacle to water management has been the asset-intensive nature of the industry, with pipelines, pumps, and wells spread over acres of land, well beyond the control and management of a few plant operators. What is Smart Water Management?

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What I'ved learned so far about digital transformation and innovation

Jeffrey Phillips

My good friend and collaborator Paul Hobcraft is constantly reviewing new reports and creating insights of his own, which inundate me with more information. But through this I've learned a bit about both innovation and digital transformation. Below I'm going to share a few things I've learned so far, and my sense of the implications.

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Responsible Artificial Intelligence

Norbert Bol

Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc. Viewing AI-systems from a risk management perspective.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

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