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Need for speed, accuracy in fight against document fraud leads fintechs to AI-powered detection solution

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.

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NVIDIA’s Kevin Levitt on Artificial Intelligence, deep learning, and its role in financial services

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.

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artificial intelligence asset management civilization and politics Fractals & reflexivity philosophy

·Jun. 17, 2021

A meditation on capitalism, the grey goo, and the Borganisms

You work. You get money. You take money and invest it. If you are lucky, it becomes larger. Otherwise, it becomes smaller. If you have a lot of money, you can either start a company or not. If you start a company, you invest in your own ability to influence outcomes and in your own transformation function. There are other, personal utility functions also being satisfied in executing the transformation function. Alternately, you focus on the work of getting capital into other companies. For this allocation and selection work, you are rewarded. To this, you can add the capital of others, until you are doing selection on their behalf.

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Fintech

·Sep. 7, 2023

Data consent and Infrastructure could stop FI Hyper-personalization

Hyperpersonalization is the next frontier for consumer engagement in financial services. Traditional FIs may be facing a disadvantage.

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artificial intelligence big tech China civilization and politics Metaverse / xR visual art

·Jul. 27, 2020

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.

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artificial intelligence digital transformation neobank philosophy

·Jul. 15, 2019

Deutsche Bank to fire 18,000 people while Amazon upskills 100,000

Today's corporations and governments are in the business of defining the balance of these aspects of our participation in society and the economy. Beliefs about the immutability of different attributes about what makes a person (or an employee) and how economies are built (cutting the pie, vs. growing the pie) determine the policy decisions you make, top down. As the core example this week, let's take Deutsche Bank. Facing pricing pressure and headwinds in several of its businesses, Deutsche is responding with a plan to fire 18,000 employees by 2022 and an announced investment of €13 Billion in technology and innovation by 2022. They even spun up a hipster-colored neobank as a proof point. Wall Street ain't buying it.

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artificial intelligence civilization and politics Metaverse / xR philosophy visual art

·Jul. 3, 2020

White Obama made by Artificial Intelligence

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?

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artificial intelligence

·Aug. 7, 2023

Bias in AI: What to watch for and how to prevent it

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.

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