The financial services sector reaches an important step with AI, while organizations go beyond tests and experimentation towards a successful implementation of AI, which stimulates trade results.
Nvidia’s fifth annual AI report in financial services Show how financial institutions have consolidated their AI efforts to focus on basic applications, signaling a significant increase in AI capabilities and skills.
AI helps generate income and save costs
Companies that invest in AI see tangible advantages, including an increase in income and cost savings.
Almost 70% of respondents report that AI has increased revenue by 5% or more, with a spectacular increase in those who see an increase in income from 10 to 20%. In addition, more than 60% of respondents say that AI has helped reduce annual costs by 5% or more. Almost a quarter of respondents plan to use AI to create new commercial opportunities and income sources.
Top AI Generative Cases of use in terms of return on investment (King) are trading and optimization of the portfolio, which represent 25% of the responses, followed by customer experience and 21% engagement. These figures highlight the practical and measurable advantages of AI because it transforms the fields of key activity and stimulates financial gains.
Overcoming obstacles to AI’s success
Half of the management respondents said they had deployed their first service or a generative AI request, with an additional 28% providing for the next six months. A 50% drop in the number of respondents reporting a lack of budget of AI suggests an increase in dedication to the development of AI and the allocation of resources.
The challenges associated with the early exploration of AI also decrease. The survey revealed that fewer companies reporting data problems and confidentiality problems, as well as reduced concerns about insufficient data for model training. These improvements reflect growing expertise and best data management practices within the industry.
While financial services companies allocate the budget and become more informed to data management, they can better position themselves to operate AI for operational efficiency, improved security and innovation between commercial functions.
Generative AI feeds more use cases
After the data analysis, the generative AI has become the second workload of the most used AI in the financial services industry. Technology applications have developed considerably, from improving customer experience to optimization of exchanges and portfolio management.
In particular, the use of the generative AI for the customer experience, in particular via chatbots and virtual assistants, has more than doubled, going from 25% to 60%. This wave is motivated by increasing availability, profitability and scalability of AI generating technologies to supply more sophisticated and precise digital assistants that can improve customer interactions.
More than half of the financial professionals questioned now use a generative AI to improve the speed and precision of critical tasks such as processing documents and generation of reports.
Financial institutions are also ready to benefit from Agentic – Systems that use large quantities of data from various sources and use sophisticated reasoning to autonomously solve complex problems and in several stages. Banks and asset managers can use agency AI systems to improve risk management, automate compliance processes, optimize investment strategies and personalize customer services.
Advanced AI stimulates innovation
Recognizing the AI transformer potential, companies take proactive measures to build AI factories – accelerated IT platforms specially built equipped with Full IA software – via cloud suppliers or on premises. This strategic objective on the implementation of cases of use of high value AI is crucial to improve customer service, increase income and reduce costs.
By explaining advanced infrastructure and software, companies can rationalize the development and deployment of AI models and position themselves to exploit the power of agentic AI.
Industry leaders predicting at least 2x return on investment in AI investments, financial institutions are very motivated to implement their highest AI uses to stimulate efficiency and innovation.
Download the full report To learn more about how financial services companies use accelerated IT and AI to transform services and commercial operations.