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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?

Software 182
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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 machine learning (M.L.);

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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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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. In healthcare, researchers are testing AI software that draws doctors’ attention to potential concerns, like polyps, during routine scans.

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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 future interplays between design thinking, technology and AI

Paul Hobcraft

Exploring the interplay between Humans, Technology and AI for design thinking Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI? Moving to the edge : Organizations are becoming more agile by adopting an “edge” approach.

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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.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. This often ends up involving meticulous adjustments to prompts.