As AI is adopted, the nature of people’s tasks and required skill sets change.

Early adopters of analytics technologies, data analysts, now need technical skills to handle advanced algorithms and machine learning models.

Graphic designers have moved to higher level conceptualization and design, while AI-powered tools handle the repetitive production tasks previously the main part of a graphic designer’s work.

Financial analysts take on higher-level tasks such as financial planning and strategy as routine tasks are automated.

AI is ideal in enhancing automation and efficiency, decision-making capabilities and collaboration of financial professionals in organizations. There remains the very important challenge to address—keeping financial data secure.  In these areas, here’s a quick look at the opportunities that generative AI brings:

• Automation and Efficiency: 

AI systems are already starting to impact financial operations by automating routine and repetitive tasks, such as certain types of research. This allows financial professionals to concentrate on strategic responsibilities, such as financial planning and strategy. By relieving them of some of the manual work, AI enhances the efficiency and productivity of financial professionals.

• Decision Support:

AI's capacity to provide decision support is one of its most significant advantages it offers financial professionals. AI-powered tools can analyze vast volumes of financial data, identify patterns, all in service of generating  valuable insights and recommendations. This empowers financial professionals to make informed, data-driven decisions faster, resulting in improved outcomes and performance. Leveraging advanced algorithms and machine learning models, financial professionals can elevate their decision-making capabilities with AI as their ally.

• Collaboration and Augmentation:

AI systems act as assistants and support tools, augmenting the capabilities of financial professionals in the process. True collaboration results in a symbiotic relationship, where financial professionals work in conjunction with AI algorithms to achieve greater outcomes, all while improving efficiency. Establishing collaborative practices that optimize the strengths of both human and machine will foster new levels of innovation and productivity.

Considerations and Challenges:

While AI offers numerous benefits to financial professionals, organizations must consider the serious issue of keeping sensitive financial information safe.  Particularly where financial information could be impacting public markets, data has to be carefully handled and distributed publicly in a way that is responsible.  Forcepoint Data Security provides a portfolio of technologies that enables organizations to secure sensitive financial data while still enabling financial professionals to take advantage of the enormous efficiencies that can be gained through generative AI.

Check out this video where Jordan Havranek, Principal Sales Engineer at Forcepoint, demonstrates a specific use case (preparing for a public quarterly report) that shows how ChatGPT can bring automation, efficiency, and collaboration—augmenting the capabilities of the financial professional while keeping data secure. 

For more examples like this where Forcepoint keeps data secure while using AI:

• Check out this Forcepoint Tech Talk YouTube playlist
• See this AI webpage for more information or
• Click to talk to an expert.

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Gartner, Uncover the Hidden Impact of AI Automation on Your Organization, Jo Karajanov, Mary Mesaglio, June 15, 2023

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