Driving Data Transformation through Generative Business Intelligence, with AI investments in finance projected to exceed USD 150 billion by 2028
The convergence of generative AI and cloud computing is rapidly emerging as a key driver in enterprise digital transformation worldwide. Going Cloud, the cloud intelligence brand under Asia’s leading AI multimedia technology group KKCompany Technologies, has sponsored an IDC InfoBrief, titled “GenBI at the Core: Ushering in a New Era of AI-Powered Smart Finance.”
This paper delivers a systematic analysis of how Generative Business Intelligence (GenBI) is being applied in the financial services industry. It addresses technical deployment, transformation challenges such as large-scale data extraction, fragmented data sources, and limited analytical manpower, as well as measurable benefits. It also highlights GenBI as the optimal pathway for modern enterprises to unlock data value and accelerate decision-making. In addition to global AI investment trends and sector-specific insights, the report incorporates Going Cloud’s real-world experiences in the financial sector to offer practical recommendations for successful GenBI implementation.
Global AI Investment Surges; Financial Services Among Top Adopters
According to the IDC InfoBrief, global AI investment continues to rise significantly, with total AI spending projected to grow from USD 315.8 billion in 2024 to USD 815.9 billion by 2028, achieving a compound annual growth rate (CAGR) of 26.8%. Among various sectors, retail, software, and financial services stand out as the three most proactive industries in embracing AI, particularly in applying generative AI for business intelligence (GenBI).
The financial services sector, in particular, is not only a key contributor to global AI expenditure but also a leading adopter of data analytics tools to enhance marketing strategies, customer experience, and data-driven decision-making processes through AI.
GenBI Solves Key Data Challenges in Finance: Dispersed Sources, Complex Structures, and Security Demands
While financial institutions are traditionally data-driven, they often face challenges such as siloed data, complex structures, and strict compliance requirements. GenBI—an innovative model that integrates generative AI with business intelligence—effectively addresses these pain points.
Unlike traditional BI tools that often require SQL expertise and struggle with disparate data sources, GenBI leverages large language models (LLMs), natural language processing, and multi-source data integration to unify and standardize datasets. This allows users—even those without technical backgrounds—to retrieve insights and generate visual reports simply by asking questions in natural language. The result is a significant reduction in data access barriers and accelerated decision-making.
IDC further highlights that 79% of organizations across industries have already adopted, or are in the process of adopting generative AI in the business intelligence domain. This figure underscores the rapid rise of GenBI and positions generative AI as a critical enabler for real-time insights and agile decision-making in enterprise transformation.
Going Cloud Helps Financial Clients Realize GenBI Impact: 90% Reduction in Query Time
With extensive experience in AI deployment, Going Cloud recognizes the transformative potential of GenBI across industries. Over the past two years, the company has actively supported financial clients in deploying GenBI solutions tailored to their high-security, high-flexibility, and regulatory requirements.
For example, Going Cloud supported a major financial institution in conducting a comprehensive data audit, restructuring its architecture, building an internal knowledge base, and deploying a GenBI solution. By integrating internal databases, the institution enabled users to instantly obtain data insights and visual reports simply by asking questions in natural language—resulting in a 90% reduction in data query time and a 35% decrease in analyst workload.
Shirley Tsai, Senior Research Manager of IDC Taiwan’s Enterprise Solution Group commented, “The rapid rise of generative AI is a key driver of smarter business analysis, particularly in the data-intensive financial sector, enhancing overall effectiveness. By integrating cloud, data, and AI technologies, GenBI lays the foundation for deeper insights, faster decisions, and better risk forecasting—paving the way for truly data-driven operations.”
Andy Huang, General Manager of Enterprise Solutions Business at KKCompany, stated, “The financial industry has shown strong ambition for digital transformation in recent years. We are committed to supporting enterprises adopting GenBI by leveraging our deep expertise in creating greater synergy through integrated technology approaches that drive long-term competitiveness.”
