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- Autonomous Data Pipeline: Pearl Nwade on Weekly Livestream
On the CoinGeek Weekly Livestream this week, Pearl Nwade joined Kurt Wuckert Jr. to talk about data analytics, artificial intelligence (AI), and blockchain technology.
Nwade’s Bitcoin story
Wuckert often kicks off the livestreams by asking guests about their Bitcoin story. Nwade entered the field from a finance background, landing an internship with a digital currency exchange in 2017. She discovered DeFi, became interested in the technology behind it, and went tumbling down the rabbit hole.
Data sterility and the ripple effect
Agreeing with Wuckert’s take that data is the most undervalued commodity in the world, Nwade says it’s the heart of every enterprise. Bad data leads to inaccurate reports, which in turn lead decision-makers to make poor decisions.
For example, in marketing, it could lead a company to sell the wrong product to the wrong type of person, wasting valuable resources. Nwade calls this the ripple effect—second and third order outcomes that occur as a result of bad data.
Later in the show, Nwade gives a high-level overview of how data analytics systems work. There are multiple layers involved, ranging from extraction to cleaning and aggregation. At some stages, it’s important to track data and compare it to sources, etc. Much of this can be automated today thanks to AI.
Given how important data is to the operations of most enterprises these days, Nwade highly recommends investing in better, more efficient data systems.
The Exeter University Hackathon
Nwade won a hackathon at the University of Exeter in England. Wuckert asks her how she got involved and what the process was like.
Nwade says her father researched the various university programs to find the best Master’s degree in financial technology. They decided Exeter was the best option, and things went from there.
During this program, she learned much more about the behind-the-scenes aspects of blockchain technology, AI,