Hyperpersonalization is the next frontier for consumer engagement in financial services. Traditional FIs may be facing a disadvantage.
The increased use of AI in financial services is inevitable, but for it to fully flourish, many issues must be addressed, including legal, educational and technological ones. As they get resolved, several factors will still increase use in the interim.
InformedIQ helps lenders find opportunities in today’s challenging environment while others pull back. The main difference is who embraces AI.
In this episode, we connect with serial founder Ohad Samet, CEO of TrueAccord. Ohad has been working in fintech machine learning for a decade and a half, applying multi-dimensional mathematics to consumer finance. The result? A more empathetic approach to the traditionally gnarly problem of debt collection.
In this conversation, we have a really cool conversation on fintech, crypto assets, payments and all the things around it with Ivan Soto-Wright, the CEO and Co-founder of MoonPay.
More specifically, we discuss Liability-driven Investment (LDI), the proliferation of AI in personal finance to drive sound decision-making, innovation in finance is following the same trajectory that resulted in VOIP for the telecommunication industry, the geographical maze of crypto KYC, payment networks, and crypto payment processing.
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While more people are shopping online, they are increasingly concerned about their digital security. Might passkeys be the answer? Quintin Stephen believes they will help.
GenAI has a lot of potential in financial services, but accuracy may be holding it back. Human interaction could help.
Glia's voice banking solution extends its Al-powered virtual assistants to banking customer phone calls, replacing menu-based IVR technology.
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A poorly implemented chatbot will do more harm than good. Avoiding these five pitfalls increases the likelihood of success.
However, mastery is not immune to automation. As a profession, portraiture melted away with the invention of the Camera, which in turn became commoditized and eventually digitized. The value-add from painting had to shift to things the camera did *not* do. As a result, many artists shifted from chasing realism to capturing emotion (e.g., Impressionism), or to the fantastical (e.g., Surrealism), or to non-representative abstraction (e.g., Expressionism) of the 20th century. The use of the replacement technology, the camera, also became artistic -- take for example the emotional range of Fashion or Celebrity photography (e.g., Madonna as the Mona Lisa). The skill of manipulating the camera into making art, rather than mere illustration, became a rare craft as well -- see the great work of Annie Leibovitz.