The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
shows 
every show 44 of 44
IBM Watson's $60M MD Anderson oncology project was a complete failure
“Now several years later, and sixty million dollars down the drain, that initiative failed. It actually failed.”
Competitive advantage in AI comes from proprietary data, not algorithms
“Our belief is that AI and machine learning, you will not win this war by having the better algorithm. The differentiator, the value proposition, is not in the algorithm. It's actually in the data.”
Twitter and LinkedIn's open-source data catalogs go unused without governance
“Reason why I say that is because I've talked to all the high-tech companies like Twitter, LinkedIn, et cetera, and they all have their catalog projects. Many of them have actually open sourced catalog initiatives, But then you find that nobody's actually using…”
Data users will revolt against Chief Data Officers who restrict access
“Data citizens who are all people who use data to do their work. In our company, product managers are data citizens, for example. Sales ops is data citizens. They will rise up against the data dictator. That's a chief data officer who tries too much to control …”
Data catalogs without governance inevitably fail and fall into disuse
“If you have a Data catalog, which is really like a listing of all the data sets and attributes, dictionaries that are out there, without governance around it, it's just like a phone book. It doesn't do anything, it's not controlled, it doesn't work, it's gonna…”
Big tech data lock-in risks market monopolization without strict regulation
“The data is already in the hands of these technology companies, so that's definitely going to continue, and I'm hoping that the regulations will impose enough sanctions so that these big, ah, you know, internet giants are actually allowing more control of an i…”
Corporate data ownership must be snuck in to avoid executive reluctance
“Nobody wants to take responsibility. No, no, I don't want to be the data owner. So there, what you have to do, is you have to sort of sneak ownership under the door. You have to sort of say to the business executive, or the process or application owner, yeah, …”
Data scientists' biggest problem is finding data
“One of their first frustrations is, I can't find the data, right? That's like their biggest problem.”
Data scientists quit when companies fail to operationalize their work
“So these talented people that you then hire are becoming demotivated and will actually go somewhere else just because their work is not actually adding any value to the business.”
Enterprise data needs a dedicated system of record like ERP or CRM
“Data will require a system of records, right, just like the chief financial officer as a CRM an ERP, or the VP of sales as a CRM system, data will have the same kind of need.”
Big tech uses AI and machine learning as its next feature war
“And three, and this is a belief of me that could be wrong, is that actually the big tech firms, Amazon, Facebook, Google, Microsoft, and all the others, they're using AI and machine learning as their next feature war.”
AI will generate business value first in highly specialized applications
“So AI will have business value first in specialized applications.”
Google Flu Trends suffered a 140% prediction error in 2013
“So in 2013, they had a mismatch of a 140% prediction versus the actual situation in the world.”