Banking and investment services face growing pressure to deliver measurable AI results, yet many firms are held back by siloed data, complex structures and skills gaps. With CEOs and boards demanding tangible value and strict compliance—and regulatory expectations intensifying around financial data sovereignty and banking data residency requirements—institutions must close the gap between vision and execution. Discover why financial institutions face challenges moving from AI pilots to full-scale value, as barriers like siloed data skills gaps and complex organizational structures slow progress.
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