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Could Artificial Intelligence Contribute to Open Innovation?

Yet2

As innovation experts we strive to innovate our own processes, recently we shared our advances in ‘big data’ analyses in our blog and here we begin to delve into the possibility of using AI as an open innovation tool. The post Could Artificial Intelligence Contribute to Open Innovation? appeared first on yet2.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

By embracing Design Thinking principles differently in the future of innovation, organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity. 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

Yet the most significant contributors came in emerging methodologies that built so much of an innovative discovery or design; the five for me that stand out are: Open Innovation : This thinking opened up the collaboration concepts between organizations and individuals, sharing knowledge, resources, and ideas to develop new products or services.

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6 Remarkable Applications of AI in the Oil & Gas Industry

Acuvate

Consequently, like every other sector, O&G is exploring the vast potential of Artificial Intelligence (AI) applications to increase productivity, boost security, enhance equipment availability, maintenance, and uptime, and enable sustainable operations. This data repository is analyzed by AI algorithms in real time.

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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. Machine Learning is being applied everywhere, and IoT is just a new way of saying "sensors". Lately I've been drinking from the firehose.

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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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How Inovation Affects Leadership and Reskilling: Industry 4.0 Case

Idea to Value

5G will even pave the way for real-time communication and better collaboration in distributed workforces. Collaboration and communication in the remote workforce. is already significant, featuring things like edge and cloud computing, IoT, artificial intelligence, and the ability to process massive data sets.

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