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In the latest episode of Digital Banking Podcast, host Josh DeTar of Tyfone welcomed Parijat Banerjee, Financial Services Global Business Head at LatentView Analytics. The episode centered around how AI depended on strong data, clear process design, and a human-first purpose.
Josh and Parijat started with a simple idea: good technology should help people pay better attention. Parijat argued that listening remained the most useful human skill, and he framed AI as a tool that could remove busy work and make space for real focus. From there, he traced the rise of AI back to falling storage costs, wider access to data, and the shift from rules-based systems to models that learned patterns at scale.
The conversation then moved to what financial institutions had to get right. Parijat explained that poor data still led to poor outcomes, while unified data created a single source of truth and faster decisions. He also noted that banks and credit unions faced tighter limits because they needed accuracy, lineage, and explainable AI. Josh and Parijat closed on a practical point: community institutions could use AI well if they built on trust, local relevance, and clear customer needs.
