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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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We Need To Rethink How Competition And Collusion In An Artificially Intelligent World

Digital Tonto

As ProPublica described in an investigative article about RealPage’s “Yieldstar” software, companies are using algorithms to do essentially the same thing. The problems will only get more pervasive as we constantly feed information into artificial intelligence platforms like ChatGPT. We should demand they be met.

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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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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. This makes AI an invaluable asset in the realm of innovation management.

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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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How Consultants Can Use AI to Drive Organizational Change

Leapfrogging

Artificial intelligence is revolutionizing the field of business consulting. This might include data management systems, CRM platforms, and other enterprise software. After training, deploy the AI models in a controlled environment to validate their effectiveness. Regularly train on new AI software and methodologies.

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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.