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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

The introduction of ChatGPT and other cutting-edge AI-led data analytics and visualization tools has sparked a lot of buzz in the tech world. The secret to these models’ success is Generative AI, which creates text that sounds remarkably human, enabling business users with data analytics outcomes that feels far more natural.

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FinTech and Machine Learning

IdeaScale

When people talk about machine learning they are a referring to a type of artificial intelligence that has the ability to learn without explicit programming. And machine learning could be applied towards many of those already (for example: using data to optimize for consumer buying behavior).

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Unleashing the Power of AI in Innovation Management

Leapfrogging

However, with the advent of artificial intelligence in innovation management , these stages and gates are being reimagined. AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process.

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A.I. can now use text prompts to design new proteins which don’t exist in nature

Idea to Value

There is so much hype around Artificial Intelligence tools and what they are able to create in the fields of creativity. But I just came across a new research study just published at the end of Jan 2023 which may have a bigger impact than any on the future of the planet. of their sequence resembled any known natural protein.

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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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Unleashing Innovation: Mastering AI-Driven Design Thinking Strategies

Leapfrogging

The integration of Artificial Intelligence (AI) in this process has opened up new avenues for innovation and efficiency, leading to the development of AI-driven design thinking strategies. By analyzing user data, AI can help design teams to create more tailored experiences that meet specific user needs.

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As digital transformation unfolds, it pays to be a generalist

Jeffrey Phillips

What I think is another interesting and similar question is emerging in machine learning and artificial intelligence. I think it is likely that the people whose jobs are most at risk from machine learning are the deep specialists, who have really deep but narrow knowledge. Take, for example, breast cancer.