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My 5 S for future Innovation: Smart, Stacks, Scale, Storage, and Software

Paul Hobcraft

Recently, I got caught up in some announcement by Siemens, where they announced the acquisition of Mendix, the Low-Code providers, for the explicit purpose to combine Mendix with Siemens MindSphere, claiming it has the potential to cover off all elements of the Smart App Stack. That got my attention.

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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

Are we leveraging Artificial Intelligence (AI) or Machine Learning enough from the explosion of data to identify patterns and insights leading to emerging concept creation? Equally, components are oriented towards learning, knowledge, creativity, design, and testing—essential tasks in the innovation process.

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The Key Trends to Watch in Cybersecurity

Business and Tech

To address the problem, security leaders should: Review hiring practices. Build a cybersecurity roadmap. How can cybersecurity teams ensure compliance that all cybersecurity software is active and running on all endpoints? Cloud connectivity for operational systems and SAAS (Software As A Service) subscriptions.

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AI in Foresight & Innovation Management

ITONICS

Recently, we have been exposed to a lot of information about the new and rapidly developing field of artificial intelligence (AI) and machine learning which is likely to change many things about the way we work and exist in the future. Due to specially designed tools a large part of this process can be automated.

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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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The 2020 CIO: Predictions and Insights

Acuvate

Gartner’s latest survey reveals that 95% of CIOs expect their jobs to change or be remixed due to digitalization and technology influx. To create such highly engaging, personalized experiences for customers and employees, CIOs of the future need to leverage the inventions powered by artificial intelligence. Conclusion.

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AI in Foresight & Innovation Management

ITONICS

Recently, we have been exposed to a lot of information about the new and rapidly developing field of artificial intelligence (AI) and machine learning which is likely to change many things about the way we work and exist in the future. Due to specially designed tools a large part of this process can be automated.