InformedIQ helps lenders find opportunities in today’s challenging environment while others pull back. The main difference is who embraces AI.
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.
Hyperpersonalization is the next frontier for consumer engagement in financial services. Traditional FIs may be facing a disadvantage.
Instead, we are going to tap again into a new development in Art and Neural Networks as a metaphor of where AI progress sits today, and what is feasible in the years to come. For our 2019 “initiation” on this topic with foundational concepts, see here. Today, let’s talk about OpenAI’s CLIP model, connecting natural language inputs with image search navigation, and the generative neural art models like VQ-GAN.
Compared to GPT-3, which is really good at generating language, CLIP is really good at associating language with images through adjacent categories, rather than by training on an entire image data set.
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.
What we know intuitively, and what the software shows, is that the pixelated image can be expanded into a cone of multiple probable outcomes. The same pixelated face can yield millions of various, uncanny permutations. These mathematical permutations of our human flesh exit in an area which is called “latent space”. The way to pick one out of the many is called “gradient descent”.
Imagine you are standing in an open field, and see many beautiful hills nearby. Or alternately, imagine you are standing on a hill, looking across the rolling valleys. You decide to pick one of these valleys, based on how popular or how close it is. This is gradient descent, and the valley is the generated face. Which way would you go?
The Securities and Exchange Comission punted again on allowing a passive Bitcoin ETF to enter the market. It failed to approve the VanEck SolidX Bitcoin Trust, instead opting to open a commentary period to address several questions around Bitcoin price formation and the health of the exchanges. A similar outcome faces the Bitwise Bitcoin ETF. You can tell I am not a fan of this waffling, and there are two core reasons: (1) the years-long delay and uncertainty is responsible for financial damage to both traditional and crypto investors, and (2) the premise of the objections misunderstand the environment of the Internet and the way our world is shaping up in the 21st century.
Lenders gravitate towards using artificial intelligence (AI), so they must be dedicated to removing biases from their models. Luckily there are tools to help them maximize returns and minimize risks.
The image is taken from an AI paper which explains how to use generative adversarial networks (i.e., GANs) to hallucinate hyper realistic-imagery. By training on hundreds of thousands of samples, the model is able to create candidates representing things like “just a normal dude holding a normal fish nothing to see here”, and then edit out the ones that are too egregious.
The reason the stuff above is so scary is actually that you can mathematically transition in the space between images. So for example, you could move between “a normal dude” and “just a normal fish” and have nightmare fish people. Or you could create a DNA root for an image which is part dog, part car, and part jellyfish. Check out the video below and the very accessible https://www.artbreeder.com/ website to see what I mean.
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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