AI is now indispensable in banking and finance, transforming product delivery, risk assessment, fraud detection, and customer engagement. According to Ataccama, 59% of data leaders cite maintaining consistent data quality as their biggest challenge in scaling AI. Without solid data readiness and integration, financial institutions risk failure in AI projects despite potential benefits. Industry reports show AI-driven efficiencies could boost global banking profits by 9%, reaching $2 trillion by 2028, with financial firms investing heavily—$35 billion in 2023, projected to nearly triple by 2027. Key applications include automating workflows, fraud detection, and personalized services.

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