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Thomson Reuters Future of Professionals Report Predicts AI will Have a Transformational Impact on Professional Work by 2028

insideBIGDATA

Thomson Reuters (NYSE/TSX: TRI), a global content and technology company, released its Future of Professionals Report. The survey of more than 1,200 individuals working internationally shares the predicted impact that generative AI will have on the future of professional work.

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How Factory is turning AI into ‘a junior developer in a box’

Flipboard

By 2028, projects research firm Gartner, 75% of enterprise developers will use AI tools in their work. He became a regular at AI hackathons, including the one where he met Reyes, whod written his thesis on deep learning and worked on language models at Microsoft and Hugging Face.

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Is AI Going to Change the Beauty Industry?

ODSC - Open Data Science

We used deep learning machine learning techniques to take the process that experts use to evaluate data from many peoples’ skins into an (automated) service ,” explained engineer Lee Young-jin, an adviser for AmorePacific’s custom beauty business. billion in 2028. The global beauty industry, including cosmetics, hit $625.6

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Problems Solved with AI And Machine Learning in Customer Service

Smart Data Collective

The market size for AI in marketing is expected to grow ove r 31% a year through 2028. For example, deep learning can be used to understand speech and also respond with speech. The marketing profession has been fundamentally changed due to advances in artificial intelligence and big data.

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Breaking down the advantages and disadvantages of artificial intelligence

IBM Journey to AI blog

The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming. Computing power: AI algorithms often necessitate significant computing resources to process such large quantities of data and run complex algorithms, especially in the case of deep learning.

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Generative AI: What It Is and Why It Matters

Pickl AI

Summary: Generative AI isn’t magic, but it learns like one! This powerful technology utilizes deep learning algorithms to analyze massive amounts of data, be it text, images, or code. It utilizes Deep Learning algorithms, a specific type of machine learning inspired by the structure and function of the human brain.

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Predicting the Future of AI Investment in 2024 and Beyond

ODSC - Open Data Science

Currently, these trends are shaped by the pursuit of possible innovation that can result in new market capture in machine learning, automation, and data analytics. through 2028. billion by 2028, at a CAGR of 29.3%. For example, the global quantum computing market is projected to see a CAGR of a staggering 38.3%

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