I presented earlier this week at the Ally Invest virtual conference, and the prompt asked for a description of what happens to finance from Fintech to Crypto / Blockchain to Augmented Reality / Virtual Worlds and finally to Artificial Intelligence.
Instead of modifying decades-old transaction infrastructure, Spade provides better fraud protection by creating a new system. Customers like Sardine, Mercury, Unit and Ramp have improved their fraud models by more than 15% using Spade's real-time merchant intelligence for the card ecosystem.
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 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.
Upstart reported slipping revenues and forecasts that fell short of analysts' expectations. Girouard remains positive about their position.
Reports of the bank branch’s death are greatly exaggerated, though you soon might be unable to recognize the old boy. The bank branch indeed has a future, especially if one caters to specific groups or is based in certain parts of the world, SunTec Business Solutions President Amit Dua said.
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.
This week, we look at:
What it means to ask questions and find answers
From asking simple questions that result in neobanks and roboadvisors. Who will win — Schwab or Robinhood?
To asking macro questions about the finance / high-tech competition. Who will win — Goldman Sachs or Google?
To asking profound questions about the nature of the work, and the art of finding your own questions.
We can't formulate the questions for you. But we can give you a framework of needs for both the individual, and the organization.
The questions that you ask are the answers that you will get.
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.
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.