1、DATA TRENDS 2026 FINANCIAL SERVICESLeading insights on how agentic AI and data strategy are quickly evolving within the financial services industryTable of ContentsA Year of AI Accountability and Expansion .3Top 3 Data Trends for Financial Services in 2026 .4Trend 1:Dark data moves into the spotligh
2、t .5Trend 2:Governance anchors the intelligence layer .7Trend 3:Semantics bridge the business-to-AI gap .8Entering the Age of Agentic Efficiencies .10Table of Contents|2 DATA TRENDS 2026:FINANCIAL SERVICESA Year of AI Accountability and ExpansionFinancial services institutions are entering a definin
3、g phase of AI adoption one where accountability replaces experimentation.After years of isolated pilots,the mandate has shifted from“proving the tech”to delivering enterprise-scale execution.Institutions are now demanding that AI move the needle on core business metrics:stronger efficiency ratios,sh
4、arper risk management and hyper-personalized growth.AI is no longer an innovation initiative.It is becoming a core operating capability.Yet,as institutions attempt to scale,they are discovering that the barrier to success is rarely a failure of the models themselves,but rather the lack of a unified
5、data foundation beneath them.When AI operates within functional silos retail banking,asset management,risk or claims the resulting intelligence is fragmented.To break through this plateau,industry leaders must rethink what“AI-ready data”actually looks like.Success in this next phase depends on three
6、 fundamental shifts:Dark data moves into the spotlight:Moving beyond structured data to activate the institutional memory hidden in unstructured documents,video and market intelligence.Governance anchors the intelligence layer:Transforming governance from a static audit check into an active AI obser
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