GenAI has a lot of potential in financial services, but accuracy may be holding it back. Human interaction could help.
While statistics vary year by year, there was a 79 percent increase in document fraud in 2022. Such a number doesn't come as a surprise to Inscribe fraud analyst Daragh McMeel. A rise in fraud rates often occurs when the economy travels an uncertain and difficult path.
Sponsored
Sponsored content is a type of promotional media paid for by an advertiser but created and shared by a publisher. Fintech Nexus contracts sponsored content articles to experienced journalists comfortable in the fintech space.
In this conversation, we chat with Kevin Levitt who currently leads global business development for the financial services industry at NVIDIA. He focuses on global trends in accelerated compute and AI for consumer finance – including fintech, retail banking, credit card and insurance. Prior to joining NVIDIA, Kevin served as Vice President of Business Development at Credit Karma, and Vice President of Sales for Roostify.
More specifically, we touch on the role data plays in the financial industry, how the needs of financial institutions have changed, the age of big data, the definitions between artificial intelligence and machine learning, how to train an AI algorithm, the reasoning behind the incredible amount of parameters machine learning solutions consume, the fundamental purpose of AI/ML in financial services, what NVIDIA’s platforms comprise of, and lastly the future of AI/ML.
OpenAI, backed with $1B+ by Elon Musk & MSFT, can now program SQL and write Harry Potter fan-fiction
This week, we look at a breakthrough artificial intelligence release from OpenAI, called GPT-3. It is powered by a machine learning algorithm called a Transformer Model, and has been trained on 8 years of web-crawled text data across 175 billion parameters. GPT-3 likes to do arithmetic, solve SAT analogy questions, write Harry Potter fan fiction, and code CSS and SQL queries. We anchor the analysis of these development in the changing $8 trillion landscape of our public companies, and the tech cold war with China.
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.
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.
This week, we look at:
Deep Fakes behind South Park creators' new parody, Sassy Justice
The AI-created author of the fake Hunter Biden intelligence report
GPT-3 winning the love and attention of people on Hacker News
How should we react to these robots and their desire to mess with our minds
Unlike equities, the crypto markets were born from machines, and are constructed from code. Hold dear the tokens in which you believe, and stay away from the stories of easy money. Nothing is easy. To win Russian roulette is not good fortune. It is, instead, a grave mistake to play a lethal game. Have you nothing to lose?
And then Brexit. And then Taiwan and China. And then Covid, again. And then, who knows.
From now on and forever, your counterparty is the data center running an AI cluster on top of the Internet. The data center that has already profiled you and knows everything about you. Bring the tinfoil hat.
This week Isabelle sat down with Hummingbird's Joe Robinson to talk about. the development of GenerativeAI and ChatGPT.
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.
I came upon this announcement by Stephen Wolfram recently: Finally We May Have a Path to the Fundamental Theory of Physics… and It’s Beautiful. Wolfram is a theoretical physicist turned mathematician, computer scientist, and entrepreneur responsible for the rigorous Mathematica software. After a career of building one of the most advanced computational packages ever created, he is returning to the question that endlessly captivates geniuses — what is the equation at the heart of our universe?
Is there one unifying stroke of the pen that can connect conventional physics, general relativity, and quantum mechanics into a single whole? Wolfram is not conventional, and I cannot do justice to his thinking both given its complexity and rigor. He claims to have found one such answer, which I will try to sketch. But what drew my atten