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Framing AI strategy

AI Impacts

1 AI strategy is strategy from the perspective that AI is important, focused on interventions to make AI go better. This post discusses ten strategy frames, focusing on AI strategy. Make a plan See Jade Leung's Priorities in AGI governance research (2022) and How can we see the impact of AI strategy research?

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ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for…

ODSC - Open Data Science

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. You Can Now Watch the Generative AI Summit On-Demand Here!

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What we’ve learned so far from our technological temptations project

AI Impacts

At AI Impacts, we’ve been looking into how people, institutions, and society approach novel, powerful technologies. Scientific communities and individuals within those communities seem to have particularly high leverage in steering technological development at early stages.

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Predicting the Future of AI Investment in 2024 and Beyond

ODSC - Open Data Science

With AI’s potential to revolutionize industries, enhance efficiency, and create new markets, the investment outlook for AI is both promising and complex. Venture capitalists have taken notice and are making moves to find their next big thing in AI.

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AI in Media: How Is Generative AI Revamping the Media & Entertainment Industry

Unite.AI

This was the first widely recognized and commercial Generative AI tool. Since then, 100s of tools related to Generative AI in media and other domains have been released with applications in all facets, including art, music, marketing, entertainment, etc. If you are wondering what Generative AI is, let’s discuss it briefly below.