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How Artificial Intelligence Can Create Real Value for your Business

Daniel Burrus

Whether we ask Amazon’s Alexa to play our favorite song or shout “Hey, Google” before asking the device a question to help our child with their homework, artificial intelligence (A.I.) In past articles, I have identified the implementation of artificial intelligence (A.I.) and, in turn, will stay ahead of the curve.

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Generative AI – The End of Empty Textboxes

TechEmpower Innovation

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.

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Where will Innovation Management Software go?

Paul Hobcraft

Where will Innovation Management Software go? This morning I decided to have a chat on ChatGPT on the future of Innovation Management Software, I asked a number of questions in a short series and can well-relate to the answers provided incredibly quickly. chat.openai.com/chat Where will Innovation Management Software go?

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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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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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yet2 Insights: The Future of Artificial Intelligence

Yet2

While the term “artificial intelligence” itself may be new, ever since humankind started building devices that could move on their own, we’ve imagined the facsimile of life. Across industries, we see a strong focus on reducing the friction between human and machine, or the “hand off” of tasks. Is it all hype?

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What We Mean When We Say “Machine Learning”

IdeaScale

So in this article we will address a new emerging theme: machine learning and try to answer the question “ who learns faster, a machine or an human?” How does a machine learn? The way machines learn is a buzzword in the current innovation and technology industry.