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     105  0 Kommentare Morgan Stanley Wins Three 2024 Technology Awards in Generative AI, Fractional Shares, and Portfolio Risk Management - Seite 2

    For more information about Morgan Stanley’s Celent Award honors as well as a full list of this year’s honorees, please visit https://www.celent.com/insights/523504018 and https://www.celent.com/insights/857747082.

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    The Celent Model Wealth and Risk Manager 2024 Awards for Data and Analytics, Essential and Emerging Technologies, and Personalization, were granted to Morgan Stanley Smith Barney LLC (“Morgan Stanley”) following an evaluation process conducted by Celent analysts. To be considered for this award, Morgan Stanley submitted Model Wealth Manager and Model Risk Manager 2024 Nomination Award Worksheets to Celent on or about October 2023. Celent judged each submission on three criteria: (1) Measurable business benefits of live initiatives; (2) degree of innovation relative to the industry; and (3) technology or implementation excellence. In order to win, the initiatives must demonstrate clear business benefits, innovation, and technology or implementation excellence.

    Celent does not receive compensation from the participating firms in exchange for the award and Morgan Stanley did not pay a fee to Celent in exchange for the award. Morgan Stanley is not affiliated with Celent. Based on their submission in October 2023 for Celent’s 2024 Model Awards program, Celent granted Morgan Stanley their awards in January 2024 and publicly shared the news in March 2024. Celent is a global financial services research and advisory firm and is responsible for determining the recipient of this award.

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    Morgan Stanley Wins Three 2024 Technology Awards in Generative AI, Fractional Shares, and Portfolio Risk Management - Seite 2 Morgan Stanley (NYSE: MS) announced today that it has won three 2024 Celent Model Awards recognizing the Firm’s innovative use of technology. The awards include a Model Wealth Manager Award for its AI @ Morgan Stanley Assistant in the Essential and …

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