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2. AI at work: The impact of artificial intelligence in the ...

   www.aol.com/ai-impact-artificial-intelligence...

   AI concerns increase with age. The age groups which were least and most fearful of AI's impact on their industry were also the oldest and youngest age brackets in the study: with 66% of 18-24 year ...

3. How AI is set to transform our fastest growing businesses - AOL

   www.aol.com/news/ai-set-transform-fastest...

   AI will help them find new ways of working and doing their jobs. It will also create new jobs as people are freed up to do new things.” While the impact of AI is unfolding, businesses still have ...

4. Artificial intelligence in industry - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_in...

   Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...

5. The Crystal Ball: Envisioning how AI will shape our ... - AOL

   www.aol.com/finance/crystal-ball-envisioning-ai...

   The impact of generative AI on financial services is going to be dramatic. Financial services is full of areas where it's human beings reading and writing and processing documents.

6. Workplace impact of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Workplace_impact_of...

   The impact of artificial intelligence on workers includes both applications to improve worker safety and health, and potential hazards that must be controlled. One potential application is using AI to eliminate hazards by removing humans from hazardous situations that involve risk of stress, overwork, or musculoskeletal injuries.

7. Applications of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Applications_of_artificial...

   Artificial intelligence is used in astronomy to analyze increasing amounts of available data [159] [160] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing ...