This week, we look at what positive innovations could arise from the pressure cooker of the pandemic. I touch on health care data and privacy, molecular technology, digital work- and play-spaces, and their financial implications. Channeled productively, the next decade could see advances in these fields that we can't yet imagine.
Nvidia CEO recently explained to VentureBeat: "Cryptocurrency and blockchain are here to stay. Over time, it will become quite large. It is very clear that new currencies will come to market."; Nvidia makes graphic cards that help cryptocurrency miners to add new transaction blocks; Nvidia believes there is a lot to gain from the recent trend in cryptocurrencies as the rise in coin prices results in higher demand for cards; not all graphic card makers see the benefits, as CoinDesk points out that rival company AMD is not as bullish and they don't think there is a long term market for them in the space; the graphic cards, known as GPUs, are used to mine newer cryptocurrencies like ethereum and litecoin. Source
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.
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.
