The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 9 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Moghe: Big data projects fail when data collection precedes business goals
“When you looked at many big data projects, the ones that fail, Are ones where people have taken this approach of saying, I want to collect all the data, and then I want to figure out what questions I can ask. I want to look for hidden patterns, as opposed to p…”
Moghe: Big data is defined by decision speed, not storage volume
“I sort of define big data as it's a mindset. It's about being really fast about using data to make decisions. So it's not just about petabytes of data. It's about, you know, how fast can you leverage data to create business outcomes and so that mindset is what…”
Moghe: Enterprise data is shifting to verticalized full-stack applications
“So there's a whole new breed of, ah, we heard this morning, like the full stack, you know, sort of the full stack app. Like verticalized, experiences, everything that matters. I think that's where it's going. I think where it's going is all that data gets surf…”
Moghe: Spark and Hadoop do not replace existing data warehouses
“Spark doesn't subsume data warehousing. Hadoop doesn't subsume, you know, streaming. So they're just like different technologies for different jobs.”
Mogai: NYC reduced gunfire and police deployment using predictive data
“You know, like in New York City, I think this was New Year's Eve, and they collected statistics on random gunfire, and they used that data to predict where they should deploy, ah, police so that they could ensure safety, right? And what they realized is that t…”
Pratt Mogai: Big data is difficult to migrate due to deep enterprise integration
“If you look at big data is not a siloed application. It gets infused through the organization. So it's usually part of some operational business process. And it's really hard to lift and shift it into the cloud.”
Pratt Mogai: Big Data 1.0 is a $10B market dominated by incumbents
“One dot O, which is where most of the world is, it's a ten billion dollar market, largely going to a few incumbents, right?”
Moghe: Democratized cloud big data will flatten corporate organizational structures
“I think that's the Google-like or the Facebook-like culture you want to see permeated across all the top 2000 enterprises, and it's not there today. So I think the long-term implication of big data, cloud making it really democratic is access to everyone, flat…”