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  2. 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 ...

  3. AI was everywhere in 2024. Here are the biggest stories of ...

    www.aol.com/news/ai-everywhere-2024-biggest...

    Claude 3.5 Sonnet transforms complex coding tasks. When it launched in June 2024, Claude 3.5 Sonnet changed how coders work, quickly becoming a Silicon Valley favorite. The AI model solved 64% of ...

  4. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

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

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

    The AI boom was the biggest story in 2024, and it looks like Term Sheet readers think it’ll be the biggest story in 2025. ... Generative AI is unlocking voice as the most important modality in ...

  6. AI and ethics: Business leaders know it’s important, but ...

    www.aol.com/finance/ai-ethics-business-leaders...

    In September, Armilla AI debuted warranty coverage for AI products with insurers like Swiss Re to give customers third-party verification that the AI they are using is fair and secure. “A model ...

  7. Artificial intelligence engineering - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Additionally, securing the data used to train AI models is of paramount importance. Encryption, secure data storage, and access control mechanisms are employed to safeguard sensitive information from unauthorized access and breaches. AI systems also require constant monitoring to detect and mitigate vulnerabilities that may arise post-deployment.

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