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chatbots & other robots

artificial intelligenceaugmented realitychatbots & other robots
·Jan. 13, 2020

Have Facebook Messenger Chatbots failed for Finance?

In the long take this week, I try out a contrarian point of view on personal finance chatbots. Trim, a savings chatbot, just withdrew support from Facebook Messenger. While lots of other chatbots are still invested in conversational banking, what could we take away from the counterfactual of chatbots failing to get B2C traction? What is the impact on the rest of the platform wars waged by Amazon, Google, and Tesla for connected homes, cars, and the Internet of Things?

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artificial intelligencechatbots & other robotsCryptodigital lendingpaytechregulation & compliance
·Jun. 30, 2021

Building the best payments fiat to crypto onramp, with Ivan Soto-Wright of MoonPay

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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artificial intelligencebig techchatbots & other robotsdigital transformation
·Sep. 17, 2021

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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