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  2. How financial services companies can maximize AI investments

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

    The use cases for AI can go beyond just fraud protection and cybersecurity. ... The speed and breadth of AI implementation at financial services companies will vary, Pegah Ebrahimi, cofounder and ...

  3. These 2 AI Stocks Are Poised to Trounce the S&P 500 in 2025 - AOL

    www.aol.com/finance/2-ai-stocks-poised-trounce...

    Palantir's AIP platform has accelerated enterprise AI adoption across government and commercial sectors, creating deeper client relationships and expanding use cases. The platform's rapid ...

  4. Amazon Leverages AI To Aid In Finance Operations And Improve ...

    www.aol.com/amazon-leverages-ai-aid-finance...

    Amazon’s finance teams are using generative AI for tasks such as fraud detection, contract review, financial forecasting, personal productivity, rule and regulation interpretation, and tax ...

  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. For CFOs, AI is the newest tool in their arsenal

    www.aol.com/finance/cfos-ai-newest-tool-arsenal...

    Cisco Systems is exploring use cases for generative artificial intelligence that can boost productivity in its finance department.. The networking equipment company says it is focusing on four key ...

  7. ModelOps - Wikipedia

    en.wikipedia.org/wiki/ModelOps

    One typical use case for ModelOps is in the financial services sector, where hundreds of time-series models are used to focus on strict rules for bias and auditability. In these cases, model fairness and robustness are critical, meaning the models have to be fair and accurate, and they have to run reliably.

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