The future of payments isn’t just about what’s possible — it’s about how effectively those possibilities are realized.
When it comes to advancements like generative artificial intelligence (AI), where the opportunities are vast, balancing innovation with stability becomes crucial. That’s particularly the case for sectors as critical as payments.
“There’s so much blurring of the lines between the exciting stuff we see in the ChatGPTs of the world and the real-world application of machine learning. We have to keep it pragmatic and focused to ensure we’re doing cool new things without jeopardizing stability or reliability,” Tom Randklev, global head of product at CellPoint Digital, said during a discussion for the PYMNTS series “What’s Next In Payments: Memo to the GenAI Companies.”
This underscores a key challenge for tech providers: aligning rapid innovation cycles with the long-term stability and compliance requirements of banking and payments….
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