Gaurav Dhillon highlights why certain factory floor, machine, and power plant data will remain on-premises rather than moving to the cloud due to physical latency constraints.
“For some machine data, factory floor data, power plant data, it may not go just because, you know, bandwidth you can buy, but latency you get from God.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
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More from Gaurav Dhillon
AssertionNot checkable as stated
Dhillon: Enterprises underestimate their SaaS application usage by 10x
“If you bet companies a dollar that they're using X number of SaaS apps, They're off, but not by half. They're off by, like, 10 X, you know, because somebody in marketing is using something, and they go, it's not an application.”
Gaurav DhillonJan 2, 2019▶ 6:21a16z Podcast | From Data Warehouses to Data Lakes
Opinion
Dhillon: Historical business intelligence offers zero value to modern tech companies
“This rear view mirror historical perspective is, is no longer of incremental value to a technology company or to an investment bank.”
Gaurav DhillonJan 2, 2019▶ 10:43a16z Podcast | From Data Warehouses to Data Lakes
AssertionSupported
Dhillon: Capital One built a massive business using early data science
“Capital One, who is, I would say, the original data science company, figured out tens of billions of dollars of business, giving credit cards to people who others had denied, and making it profitable using Data science.”
Gaurav DhillonJan 2, 2019▶ 13:53a16z Podcast | From Data Warehouses to Data Lakes
PredictionNot checkable as stated
Dhillon: Enterprise architecture is shifting from batch processing to real-time streaming
“First, you're going away from a batch architecture of the nineties to a real-time streaming architecture. Like, we want our stuff now. This is 2016, and you know, we want to see a movie now. So, so you're going to go through a real shift towards streams of dat…”
Gaurav DhillonJan 2, 2019▶ 20:10a16z Podcast | From Data Warehouses to Data Lakes
PredictionNot checkable as stated
Dhillon: Data lakes will eventually drown out traditional data warehouses
“The rising tide of the data lake, we think, will drown out the data warehouse in the fullness of time.”
Gaurav DhillonJan 2, 2019▶ 25:17a16z Podcast | Making the Most of the Data That Matters
Insight
Dhillon: Replacing enterprise finance software is like open-heart surgery
“I mean, it's open heart surgery for the enterprise to replace finance. It's not simple. It's in many cases, you have to report earnings quarterly. So you really have to get this window just right.”
Gaurav DhillonJan 2, 2019▶ 1:30a16z Podcast | From Data Warehouses to Data Lakes
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