Acquired / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
19 published records
01 / belief
“I think you’re right that outside of the domain of things that these companies capture, like you can imagine flow meters on plumbing, none of these big tech companies have the data on flow meters on plumbing.”
02 / belief
“We’ve got some things that are discussed twice and once throughout the course of the year, but we’re going to put those in the show notes. So if you’re curious about other tech themes that were prevalent in 2016, at least through our lens, those will be in the show notes and we’re going to move on to talk about some themes that we think are going to be key in 2017.”
03 / belief
“I really think, not being the time but doing all the research and talking through the story, I think Facebook going public forced the company to recognize how big a problem they had in mobile and to move at work speed to fix it.”
04 / belief
“I think one thing that seems very clear to me that you mentioned is urbanization regardless of what happens with globalization and trade, I think urbanization is going to continue be a very, very powerful force throughout the rest of this decade and likely into the next.”
05 / belief
“I think a good way to define it might be what does your existing asset of business line customer capabilities, all those things, allow you to do that is an unfair advantage, that people starting from a cold start wouldn’t be able to do.”
06 / belief
“I think we might start seeing – and maybe not in 2017, maybe not for a while – once we get to a kind of a post scarcity society is a place where we start defining ourselves and doing things by difference measurements.”
07 / belief
“I’m also unapologetically going to go back to I think I mentioned this an episode or two ago.”
08 / belief
“Last one that I had, more fun one for me to at least end on, is I think 2017 is – I’m going back to the niche, sort of a theme we didn’t talk about in the preamble that is what do native “experiences” look like in new mediums.”
09 / belief
“Even Uber doesn’t have an unfair advantage of doing that. I think there’s a big sea out there to fish in.”
10 / prediction
“We kind of basically have a little tally going of which ones we thought were the most important and we’re going to kind of talk about those and then get into the themes that we think are going to be pretty dominant in 2017 or at least some make freewheeling predictions on that.”
11 / preference
“You can have a product that has network effects that are just not core to the product itself and that ends up not scaling and becoming as powerful of a sort of a force of your business as the incredibly strong one. So a couple examples I’m thinking of are, I use My Fitness Pal when I’m tracking what I eat.”
12 / prediction
“– of figuring out what to do with your time or we don’t work. But I think there’s an immediate pressing problem which is companies will get extremely wealthy by having really fat profit margins on being able to achieve great value for tons and tons of people through Aggregation Theory and those people will be completely served, but it will be the same price that we’ve been paying for things except that lots of people don’t have jobs.”
13 / evaluation
“There are tens or hundreds of defined machine learning methodologies and I think something that is pretty interesting is there’s less than five that are actually used right now by a lot of people and have actually had a lot of research on them, a lot of time and practice.”
14 / preference
“I tried ReachNow when they first launched in Seattle earlier in the year and I stopped using it because I remember the price as being way more expensive than Car2Go.”
15 / prediction
“I think a lot of the things that we take for granted in a society that is a democratic republic and it has a capitalist economy function pretty well in a world where Aggregation Theory and automation is not so powerful, but I think we could be forced to do some serious rethinking in the coming decade as these new harsh realities come to light and think about like, “Boy, if we just…” Pure capitalism may not actually work anymore.”
16 / evaluation
“I believe, yes it was Tim O'Reilly, the founder of O’Reilly Media answered the inequality topic and he said exactly what you’re talking about, Ben, which is that Silicon Valley often forgets that it takes consumer circles and people with jobs who have disposable income to then spend money on Silicon Valley products and technology.”
17 / prediction
“That it is really the superior customer experiences that are going to beat everything else because you can have sort of perfect competition amongst the whole world and so the best will rise to the top. It’s totally informed my work and I’m sure, Ben, yours too, in companies that we work with, when I’m meeting with startups trying to decide which to invest in and which I think might be successful and won’t be, it’s been hugely influential not just on this show but in my everyday work too.”
18 / prediction
“I think in this era of autonomous vehicles, autonomous machines and leveraging machine learning, the difference is that you don’t create as many jobs as you eliminate. That might be okay in the extreme long run where we do have a societal structure in place that we take care of everyone that doesn’t have a job because like nobody needs to work.”
19 / evaluation
“Actually, I’m glad that you brought that up is because I’m catching myself sort of falling into a trap that I think a lot of people and a lot of economists have for a long time, I’ve been reading a bunch of economists lately and realizing that classical and traditional macroeconomics is kind of like voodoo and not effective voodoo.”