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The 7 Levels of A.I. usage: How advanced are you?

Idea to Value

Built-in AI features within existing software enhance daily workflows. Level 5: Workflow Automation: AI agents and low/no-code platforms automate routine manual tasks. Workforce: AI systems operate independently, handling tasks traditionally done by humans. Level 3: In-App A.I.: Level 6: A.I.-driven Level 7: Autonomous A.I.

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How machines learn (a great video explanation of deep learning)

Idea to Value

In today’s dose of inspiration, I wanted to give you an insight into one of the most innovative technologies of the past few years which has the potential to revolutionise entire industries: machine learning. If you want to be a startup on the cutting edge of buzzwords, you have two major avenues right now.

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Minimum Viable Product Template

Leapfrogging

In innovation projects, the MVP approach helps businesses explore ideas, experiment with solutions, and learn through real-world interactions. MVPs drive alignment between cross-functional teams by focusing on shared learning goals. Learn and Iterate Analyze the results against your initial hypothesis.

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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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Measuring Innovation Performance

Download this eBook to learn about the 5 basic principles that guide every successful innovation process. Why do only a third of the organizations worldwide have formal innovation metrics in place despite accepting that innovation is critical to survival?

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Understanding and Shaping Employee Behavior Through AI

Leapfrogging

AI’s role in change management involves using machine learning and data analytics to monitor and influence employee behavior. Learn more about managing resistance with AI in our article on ai for change resistance management. Predicting resistance to a new software implementation.

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How Consultants Can Use AI to Drive Organizational Change

Leapfrogging

Learn more about this in our piece on ai-powered decision making. Learn about this in our piece on ai-powered process optimization. Integration with Existing Systems : Ensure seamless integration of AI applications with your client’s existing IT infrastructure. This proactive approach can save your clients time and money.

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