Why ROI Should Drive AI Adoption in Finance, Not the Tech Race
This Tencent Research Institute and KPMG report examines large-model AI deployment in the financial sector, stressing that success hinges on ROI-driven strategies rather than a technology-for-technology's-sake race, and offers practical, forward-looking guidance on model building, scenario application, and digital transformation for financial institutions.
This report, jointly authored by Tencent Research Institute and KPMG based on in-depth research of financial institutions and cutting-edge practice analysis, emphasizes that the key to current AI applications is not getting caught in a “AI for AI’s sake” technology race, but returning to the business-serving essence of technology—using return on investment (ROI) as the metric to calibrate application paradigms and optimize implementation paths. It focuses on the practical deployment and future trends of large-model technology in finance, deeply analyzes the core challenges and response strategies in model construction and scenario application within the financial industry, and provides both practical and forward-looking references for financial institutions to formulate AI strategies and drive digital-intelligent transformation.
Data Thinking Notes
Sharing insights on data architecture, governance, and middle platforms, exploring AI in data, and linking data with business scenarios.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
