Algorithm Cost IP Vertical 
Haystack
DECEMBER 29, 2018
During this time, there’s financial leverage used in the transaction to help buffer the firm’s cost of capital (e.g. companies, more sensitivity around technology IP and security. And will society demand to have more of the algorithmic black box that feeds it information exposed in public? 3/ Crypto Hibernation.
ConversionXL
JULY 3, 2020
This explains more: [link] Whether something has a cost doesn't change how our systems work. News is an especially challenging vertical since no site owns a newsworthy event. Googlebot) accesses the content with a valid IP, however, it’s presented with the content in the HTML and has correct paywall structured data.
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ConversionXL
APRIL 18, 2019
But algorithms haven’t always kept pace. IP address) can provide clues to search engines, as can search history, time of year, or time of day. SERPs with a high cost-per-click (data those tools also return) suggest a bottom-of-funnel or transactional query. But algorithms haven’t always kept pace. Geography (i.e.
Austin Startup
APRIL 25, 2017
I won’t dive into cost structure in this blog post, but let’s think through how Snap could grow revenue 20x. The smartphone is for everyone, we don’t have to think the iPhone is about a certain demographic, or country or vertical market: it’s for everyone. Revenue needs to grow 20x, and margins must expand dramatically.
VC Cafe
FEBRUARY 15, 2017
Since AI and ML startups cut across verticals (analytics, fintech, health, adtech, security, etc), it’s easier to group them under the “machine intelligence” umbrella, coined by Shivon Zillis , a partner at Bloomberg Beta. It uses machine learning and predictive algorithms to analyze over 250 terabytes of data daily.
news.ycombinator.com
SEPTEMBER 16, 2011
We already have some competitors in the vertical and while there is no point in trying to hide the actual idea, there are differences in the way we implement stuff that can get us an advantage over the competition. >> One thing Id add: IP- and idea-defense isnt always the strategy behind the stealth tactic.
Steve Blank
MAY 17, 2022
Humans combine data with algorithms (see here for a list) to train a model using that data. Machine learning algorithms – computer programs that adjust themselves to perform better as they are exposed to more data. Department of Defense has created a dedicated organization to ensure its deployment. But What Is It?
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