Sentence examples for aggressive data from inspiring English sources

Cliqz reckons the combined tech will "improve website loading time by blocking common trackers and protect users from increasingly aggressive data gathering methods".

Second, when you stream videos over a cell network, you might end up struggling with low video quality, buffering delays and aggressive data usage.

Rollins also says greater spectrum buys from big, national carriers could also be a sign of more aggressive data network installations in urban markets.

And for the biggest tech companies, it's at least one reason that keeping satellite products at arm's length from their respective motherships is advantageous for maintaining trust — especially while aggressive data sharing happens behind the scenes.

It seems unlikely that Reichenbach knew Freud's remarkably candid descriptions before 1900 of his aggressive data collection procedures, and of course Freud's letters to Wilhelm Fleiss (Masson, 1986), which reveal how little Freud thought of his own methodology, were unknown to Reichenbach.

Their aggressive data collection is how they help subsidize these offerings.

This steep decline continued under Dinkins's successor, Republican Rudolph Giuliani, who from 1994 ushered in an aggressive, data-driven form of policing including the "stop-and-frisk" tactic of halting and searching pedestrians for weapons or drugs on a lower standard of proof than the probable cause typically needed.

Notwithstanding the fact that data-rich healthcare records are worth more than 10 times a credit card on the black market, this would shut down the most aggressive "data-focused" hackers.

So, does an aggressive open data policy actually improve transparency?

He then goes on to explain how they will achieve this: by being "German detail oriented", being fast, being "aggressive" and "data driven".

I imagine if CRM systems were built from the ground up today — with a predictive-first mindset — their design would be very different, they would be more aggressive in data snapshotting and collection (for example, turning history tracking on for all fields by default), and their workflows and trigger functions would be based on predictions as opposed to manual, fragile, non-adaptive rules.