Data Analysis
topic on 4 shows · 5 statements across 5 episodes
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the MAD Podcast 
the a16z Podcast
5 statements about Data Analysis, every show
O'Laughlin: Entry-level data analysis jobs are at risk from agentic AI
“I just can't imagine if I was an entry level worker doing data analysis that a 22 year old, an average 22 year old would murder the hell out of a relatively well thought out agentic system. And so you're like, yeah, that job actually does seem at risk.”
Pierce: Increased human data filtering multiplies opportunities for deception
“The more human involvement that is necessary to filter and analyze data to make sure it's fit for consumption, the more you've opened the opportunity for human deception, because all of us humans have parts of us that are less than a hundred percent pure.”
Handy defines the modern data stack across four distinct functional layers
“When we talk about the modern data stack, we think about what's really four layers. So there's data ingestion. There's the data warehouse. There's data transformation or like taking all that raw data and like turning it into something valuable. And then there'…”
Benn Stancil: Self-serve data tools provide access, not analysis
“It is strictly like a data access tool. It doesn't tell you what to do with that data after the fact. It doesn't actually tell you how to analyze it. And so this access is not analysis.”