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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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Using AI to Fuel Creativity and Brainstorming

Leapfrogging

Artificial Intelligence (AI) is revolutionizing the way you approach innovation management. It involves using sophisticated algorithms and machine learning techniques to simulate human-like thinking and creativity. Feature Description Data Analysis Analyzes large datasets to identify trends and patterns.

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Understanding and Shaping Employee Behavior Through AI

Leapfrogging

Artificial Intelligence (AI) is revolutionizing various industries, and change management is no exception. AI’s role in change management involves using machine learning and data analytics to monitor and influence employee behavior. Predicting resistance to a new software implementation.

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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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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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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

Introduction to Design Thinking Design thinking is a problem-solving approach that combines empathy, creativity, and rationality to meet user needs and drive successful business outcomes. Defining Design Thinking Design thinking involves five key stages: empathize, define, ideate, prototype, and test.

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The Arrival and Potential of Knowledge Graphs into Our World

Paul Hobcraft

If only we can get them prised out of the engineer, data scientists, or software experts hands. As we all know the biggest buzz on the block today is “Artificial Intelligence”, well it is within this Knowledge Graphs we have a large part of its foundation. Building AI application requires Context.