The IIL Blog

OCTOBER 24, 2023

In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. Indeed, Artificial Intelligence is not really new. The groundwork for AI started in the 1900s [1]. Lohr, “ The A.I.

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International Institute for Learning

SEPTEMBER 21, 2022

Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). To augment human capacity – artificial intelligence evolution through causal layered analysis. The Impact of Artificial Intelligence on the Activities of a Futurist.

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International Institute for Learning

SEPTEMBER 20, 2022

Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). To augment human capacity – artificial intelligence evolution through causal layered analysis. The Impact of Artificial Intelligence on the Activities of a Futurist.

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Artificial Inteligence Prince2 2022 Technical Review 73

Digite

SEPTEMBER 20, 2018

However, it is our belief that Artificial Intelligence (AI) and Machine Learning (ML) will be the key technologies that will propel organizations through the Digital Transformation. And by 2019, 40% of all DX initiatives will be related to AI. Artificial Intelligence is not something new.

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Rebel’s Guide to PM

JANUARY 7, 2019

Would you like to make 2019 a successful year for your projects? I asked people two questions: What should people managing projects be aware of as we go into 2019 to make 2019 their most successful year ever? What will you be doing in 2019 to have your most successful year ever? I’m sure you do. So I made you an ebook.

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Rebel’s Guide to PM

JANUARY 3, 2018

This article, How To Make 2018 A Successful Year for Your Projects , first appeared on Girl's Guide to Project Management. In these next years, we’re going to see a new wave of what software can do with the growing capabilities of machine learning, artificial intelligence and data pipelines across enterprises.

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