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2. 15 Ways Businesses Can Use AI to Get More Productive ... - AOL

   www.aol.com/15-ways-businesses-ai-more-125700537...

   One of the best benefits of AI is its ability to comb through big data quickly. Give your AI system as much information as possible, let it handle data analytics on the information, and get ...

3. 4 Pros & 4 Cons to AI Automation for Businesses - AOL

   www.aol.com/4-pros-4-cons-ai-115700169.html

   AI systems often need access to sensitive business and customer data to function; however, using third-party, cloud-based automation platforms can potentially expose this data to privacy breaches.

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. Almost all small businesses are using a software tool that is ...

   www.aol.com/almost-small-businesses-using...

   As the use of artificial intelligence is expands, more small firms say they're harnessing AI to help their businesses. In a survey by The U.S. Chamber of Commerce and Teneo, nearly every small ...

6. Automated decision-making - Wikipedia

   en.wikipedia.org/wiki/Automated_decision-making

   Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...

7. AI Factory - Wikipedia

   en.wikipedia.org/wiki/AI_Factory

   The AI factory is an AI-centred decision-making engine employed by some modern firms. It optimizes day-to-day operations by relegating smaller‑scale decisions to machine learning algorithms . The factory is structured around 4 core elements: the data pipeline, algorithm development, the experimentation platform, and the software ...