The financial services sector is reaching an important milestone with the use of artificial intelligence, as organisations go beyond testing and experimentation for successful AI implementation, driving business results. The fifth annual reportEstado da IA nos Serviços FinanceirosState of AI in Financial Services, carried out by NVIDIA, shows how financial institutions consolidated their AI efforts to focus on essential applications, indicating a significant increase in AI capacity and proficiency
The report indicates that companies investing in AI are gaining tangible benefits, including revenue increases and cost savings. Quasi il 70% degli intervistati riferisce che l'IA ha generato un aumento di fatturato del 5% o più, with some reporting a revenue increase of 10 to 20%. Furthermore, more than 60% of respondents state that AI helped reduce annual costs by 5% or more. Almost a quarter of respondents plan to use AI to create new business opportunities and revenue streams
The AI technology holds potential to drastically transform various markets, and with the financial sector this is no different, being one of those who seem to be benefiting the most from this revolution. That is why investment in AI is no longer a differentiating option, to become a competitive demand, comentário Marcio Aguiar, director of the Enterprise division of NVIDIA for Latin America.
The main use cases ofgenerative AI, in terms of return on investment (ROI), negotiation and portfolio optimization, que representam 25% das respostas, seguido pela experiência do cliente e envolvimento com 21%. These numbers highlight the practical and measurable benefits of AI, as she transforms the main business areas and generates financial gains
The report also indicates that half of the interviewed managers have already implemented their first generative AI service or application, e adicionalmente 28% deles ainda planeiam fazê-lo nos próximos seis meses. Furthermore, There was a 50% decline in the number of respondents reporting a lack of budget for AI, what does increasing dedication to AI development and resource allocation suggest
The challenges associated with the initial exploration of AI are also decreasing. The survey revealed fewer companies reporting data issues and privacy concerns, as well as reduction of concern about insufficient data for AI model training. These improvements reflect the growing knowledge and best practices in data management in the sector
As financial service companies allocate budgets and become more experienced in data management, they can position themselves better to leverage AI to improve operational efficiency, security and innovation in all business functions
Generative AI enhances more use cases
After data analysis, Generative AI emerged as the second most used AI workload in the financial services sector. The applications of technology have expanded significantly, from improving the customer experience to optimizing negotiation and portfolio management
Notably, the use of generative AI for customer experience, especially through chatbots and virtual assistants, more than doubled, passando de 25% para 60%. This increase is driven by the growing availability, cost-effectiveness and scalability of generative AI technologies to power more sophisticated and accurate digital assistants that can enhance customer interactions
Now, more than half of financial professionals use generative AI to increase the speed and accuracy of critical tasks, como processamento de documentos e geração de relatórios.
Financial institutions are also prepared to benefit fromAI agents – systems that leverage large amounts of data from various sources and use sophisticated reasoning to autonomously solve complex problems in multiple stages. Banks and asset managers can use AI agent systems to enhance risk management, automate compliance processes, optimise investment strategies and personalise customer service
Advanced AI drives innovation
Recognising the transformative potential of AI, companies are taking proactive measures to build AI factories – accelerated computing platforms specially built and equipped with full-stack AI software – through cloud providers or on-premises. This strategic focus on implementing high-value AI use cases is crucial for improving customer service, increase revenues and reduce costs.
By leveraging advanced infrastructure and software, companies can accelerate the development and deployment of AI models and position themselves to harness the power of agency AI.
With industry leaders predicting at least double the ROI on AI investments, financial institutions remain highly motivated to implement their highest value AI use cases to drive efficiency and innovation.
Download thefull reportto learn more about how financial services companies are using accelerated computing and AI to transform services and business operations
