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mhhf1ve
4/4/2017 2:36:20 PM
User Rank Platinum
Speech or voice recognition has been around for decades...
I'll be impressed when Siri or Cortana or Alexa (or Bixby or whoever) can properly parse the question: "Can you recognize speech or wreck a nice beach?"
Michelle
4/30/2017 4:35:36 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
Fun with imperfect tech! :)
I think the best use of AI will be "Using AI in the cloud to sift through data". There's soooo much data!!
JohnBarnes
4/30/2017 5:10:52 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
Michelle,
You may well be right and anyway you're pointing to a very important phenomenon: there's so much data around that anyone who can analyze it can easily peddle the results. I've already seen the phrase "Tableau journalist" to describe freelancers who mine publicly available data for reportable stories.
Michelle
4/30/2017 5:18:13 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
@John It's growing in popularity, for sure. The Knight Center of Journalism is educating journos with a Data Journalism course. I haven't attended the course myself, but it looked interesting.
mhhf1ve
5/1/2017 4:20:30 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
It's interesting how data is becoming a journalistic.. and even a philanthropic pursuit. Steve Ballmer funded USA Facts!
https://www.nytimes.com/2017/04/17/business/dealbook/steve-ballmer-serves-up-a-fascinating-data-trove.html?_r=0
Michelle
5/2/2017 2:18:48 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
@mhh I knew about the site, but not who founded it. Very interesting! Data Journalism is growing in popularity all the time.
mhhf1ve
5/2/2017 2:27:46 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
> "Data Journalism is growing in popularity all the time."
Let's hope that the data can be maintained to be (mostly) true and verifiable by bots?
mhhf1ve
5/1/2017 4:18:47 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
> "I've already seen the phrase "Tableau journalist" to describe freelancers who mine publicly available data for reportable stories."
Hmm. Those stories are only as good as the data.. I think maybe that's part of how "fake news" gets into the mainstream -- bad data and lies and statistics (and lies).
Re: Speech or voice recognition has been around for decades...
mhhf1ve,
I've seen quite a bit about the spoofing of search engines but very little spoof data, so far. (As a longtime writer and newbie data scientist this is something I'm looking into more than casually). Spoof news (what we have to call it since the Republican liars started yelling "fake news" at all the news they don't like, deliberately corrupting the term to obscure the clear evidence that it was nearly all coming from their side) very often bears the same birthmarks as spoof phishing emails, i.e. extensive copying of the form but minor slips in phrasing and details. (For example, easily-identified repurposed photographs, quotes from heads of non-existent government agencies, etc.) and is good enough to slip through many bots (though the bots are getting better). Spoof data would require a lot more concocting; you could detect it through too-regular variances very easily, for example. Also, spoof data, unlike spoof news, doesn't invite naive people to forward it to all their friends. ("Hey! Here's a million 300-field climate observations that prove global warming is a hoax! Just run it through Tableau and the results are amazing!"), and almost anyone doing data journalism is going to be checking provenance before they do anything else.
Not to say there won't eventually be spoof data, probably lots of it, but the time for that is not quite yet.
mhhf1ve
5/3/2017 4:24:58 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
I think "spoof data" may be difficult to verify. I know from experience that many sources of industry data -- like PWC's industry revenues data -- are proprietary when they are initially published, and then after a few years, the data leaks out. But I think these sources do some kind of "copyright traps" and publish some fake data along with the real data to help identify where the leaks or copies came from. (Map makers have done this sort of thing for a loooong time.)
https://en.wikipedia.org/wiki/Agloe,_New_York
Re: Speech or voice recognition has been around for decades...
mhhf1ve,
Yep. The National Weather Service kindly makes a huge storm-loss dataset available for data scientists in training (and because it's real data there's all kinds of garbage in there). They added one data point to it -- a flood in California for which they added several zeros to the dollar property damage. If you don't trap that point out, it makes all your linear regressions do very weird things (since that one point totally overwhelms all the other data points).
Spoof data would more likely have to be done by moving all the data points a little bit in non-random ways -- or rather first adding the desired component, and then re-randomizing them. That's a lot of work to go to to make it look like unemployment was higher or lower, or hamburger sales went up or down, or a given commercial dye was or wasn't causing a disease.A lot cheaper and easier to count on voters and legislators being too innumerate to understand the data anyway -- that's what's worked for tobacco cancer denial, anti-vaccine campaigns, and climate science denial anyway.
Also, spoof data is often subject to someone re-collecting or re-analyzing. I just don't think people will go to the effort very often, and if it's worth the effort, that's exactly the data that's going to get scrutinized most harshly.
mhhf1ve
5/3/2017 10:27:37 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
Why does the national weather service do that? If it's that easy to spot, then what's the point of injecting it?
JohnBarnes
5/3/2017 11:14:55 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
Mhhf1ve,
1. Helps instructors spot students who are not properly cleaning/munging data.
2. Creates a set of known "lazy" results that exposes some sloppy and/or biased journalists
But most of all, 3. Data points are numbered in a complicated part-sequential part-meaningful code; checking for that missing point (and a few random non-misses) pretty quickly tells NWS that their data set has been appropriated contrary to the public access conditions on its release.
Not unlike the "paper towns" on maps.
freehe
4/30/2017 6:27:20 PM
User Rank Platinum
Re: Speech or voice recognition has been around for decades...
@Michelle, I agree but it will take years for them to sift through all the data, money and time.
freehe
4/30/2017 8:52:29 AM
User Rank Platinum
IRobot Vote
I voted for Gathering network critical data for real-time decisions . This is by far more important that anything else, if you can make effective decisions this leads to using new technology, AI, IoT and anything else.
dlr5288
4/30/2017 2:55:19 PM
User Rank Platinum
Re: IRobot Vote
I completely agree! Definitely the most important in my opinion. It will lead to gathering all the crucial data information needed for new advancements.
JohnBarnes
4/30/2017 4:43:19 PM
User Rank Platinum
My vote went for edge of network security
I think we're in the last generation of managers and software engineers who will think of security as essentially a fence or a barrier to keep intruders out. Given the way cybercrime of all kinds is headed, security is going to have to work more like an immune system than like a wall. Rather than having an unbreakable wall with a carefully guarded door, we're going to end up with the equivalent of helper T cells to alert killer B cells (or if you don't like the immune system analogy, ultimately we're going to have to depend, not on border guards, but on snitches, intel analysts, and SWAT).
In nature, a couple billion years of evolution has shown there's no perfect barrier. We do still have skin, and trees have bark, but if that was all we had, we'd never survive in a real, grubby, living ecosystem.
What AI will eventually make possible is recognizing at least a large part of malware and of hostile messaging as dangerous before it can do much damage ("Your papers, please, Mr. App"), rather than our present system ("Damn! There goes another horse! Got to go get another hasp and lock!")
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