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  2. KPMG's AI chief explains how to make AI work for your business

    www.aol.com/kpmgs-ai-chief-explains-ai-123528012...

    One of the biggest barriers for companies to overcome is the focus on single-use cases for AI systems. Many businesses are deploying an AI agent to sit over a curated database and pick out data to ...

  3. And looking back over 25 years as CEO of Salesforce, I would say that is maybe the most important thing and maybe in many cases the most differentiated against other companies or what other CEOs ...

  4. How financial services companies can maximize AI investments

    www.aol.com/finance/financial-services-companies...

    That’s why Taneja believes the use cases for AI can go beyond just cyber and fraud protection. For Visa, that means using AI to reinvent and rethink commerce—a change that will be as ...

  5. Applications of artificial intelligence - Wikipedia

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

    The use of AI in banking began in 1987 when Security Pacific National Bank launched a fraud prevention task-force to counter the unauthorized use of debit cards. [60] Kasisto and Moneystream use AI. Banks use AI to organize operations for bookkeeping, investing in stocks, and managing properties. AI can adapt to changes during non-business ...

  6. 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 ...

  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 ...

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