Big data presenting big problems?
We have long written about “Big Data” which is defined as large data sets which cannot be managed with simple, common software that captures and processes the data, and is typically consisting of at least dozens of terabytes in a single data set. The challenges of Big Data are, clearly big, and most attention is being paid to the massive amounts of data being generated by social media sites like Facebook and Foursquare.
But it’s not just consumer data that is being called into question. Industry expert Nassim Taleb recently opined on WIRED, “With big data, researchers have brought cherry-picking to an industrial level. Modernity provides too many variables, but too little data per variable. So the spurious relationships grow much, much faster than real information. In other words: Big data may mean more information, but it also means more false information.”
Taleb addresses something that could lead one to think that big data is faulty and bad, but perhaps Taleb is really pointing out the human nature that is still required in some instances of analyzing big data – and most people would not typically question a researcher or their methods, leaving analysis in its youngest phase subjective.
Defining variables is key in big data analysis
Nitin Mayande is the Co-Founder and Chief Scientist at Tellagence which offers the next step in social marketing intelligence through predictive products. Mayande has a PhD in Engineering Management and is a well respected figure in the industry. He tells AGBeat that Taleb’s statement isn’t necessarily wrong, nor is it completely correct.
Mayande noted that Taleb “is right in saying that with big data one can use many many more variables but to say too little data per variable might not be right. By the way when analyzing the data, the efficacy of variables depends upon the frame of reference and the system definition one chooses. If one uses a open system instead of closed system it may not be possible to define variables at all.”
The great irony of big data
Chris Treadaway, CEO and Founder of Polygraph Media which is famous for data-driven analytics said, “To analyze big data, you have to know when you have enough data, know that you’re looking at the right data, and know how and when to draw conclusions from the data using methods developed from statistics theory and data science. That’s the great irony of “big data” – it’s as much of an art as a science, which is why the best efforts are multidisciplinary.”
“Big data can find tremendous hidden relationships,” Treadaway continued, “but you have to make sure your bias isn’t to find conclusions that don’t exist. Bias can cause the situation Taleb describes, and will cause disinformation as he says. If you’re cautious, discerning, and careful, you can make the most of big data. But there are pitfalls for the careless.”
More data is not the answer
Matt Hixson, Co-Founder and CEO of Tellagence stated, “I would agree that more data is not the answer. Most problems need the right data – not an infinite set. I see this a ton in social, people don’t fully understand what is going on so they just keep correlating more and more data.”
Hixson continued, “This is all that most of the big data scientists at Twitter, LinkedIn and Facebook are doing because the don’t know what else to do. The platforms that are generating this data – social networks are a primary source – creating new phenomena that people don’t understand yet.”
Big data remains a treasure trove of information while also presenting challenges as the world attempts to make sense of the tool and how to analyze the infinite amounts of data.
Study finds 1,000 phrases that accidentally activate smart speakers
(TECH GADGETS) Don’t worry about accidentally activating your nosy smart speakers… unless, of course, you utter one of these 1,000 innocuous phrases.
It’s safe to say that privacy concerns, especially in today’s digital era, are unquestionably valid. With new video recording technology making it easier to identify people at a glance (whether they like it or not) and concerns that your smart speakers are eavesdropping on you, it may feel like you’re bordering on slightly paranoid around modern technology.
After all, even though there have been cases of smart speakers picking up on intimate conversations, there’s absolutely no risk of them overhearing private things without your consent, right? Even though it’s been documented that these devices — including Cortana, Alexa, Siri, and Google Home — have listened in relationship spats, criminal activity, and even HIPAA-protected data, you’re totally in the clear.
Oh yeah. The thing is, everything that gets broadcast into your smart speaker? There’s a completely random chance that someone back at headquarters may decide to sift through it in order to improve AI learning.
And while most of the time these conversations are totally benign, it doesn’t change the fact that a complete stranger is getting an earful of your private life. In fact, these transmissions? Are actually completely admissible in court, as several murder cases have already demonstrated. Their key evidence was none other than poor Alexa herself.
But wait, wait. These smart speakers can only get your information if you activate them, and that requires you to clearly enunciate their names. Right? Um. Not exactly. Even though you may think that you need to speak crisply into the speaker to activate it, it turns out that these devices are highly sensitive to any suggestion that you might be talking to them. It’s almost like your dog when you even remotely glance at his bag of doggie treats in the corner: one crinkle and Fido comes running, begging for some kibble and ready to serve you.
It’s the same for your smart speakers. As it turns out, there are over a thousand words or phrases that can trigger your device and invite it to start recording your voice. These can range from the perfectly reasonable (Cortana hearing “Montana” and springing to attention) to the downright absurd (Alexa raising her hackles over the words “election” and “unacceptable”). Well, crap. Now what?
It’s no secret that someone is listening in on your conversations. That’s been clearly documented, researched, dissected, and even accepted at this point. However, if you thought that they’d only listen to it if you gave them implicit permission by activating your device (which, to be fair, should not even count as permission in the first place), you were wrong.
So what’s a privacy-loving person to do? Just suck it up and try to choose between the lesser of two evils? On one hand, yes, these smart speakers are super convenient and can make your life easier. On the other?
Well, if you’re a fan of your privacy, then perhaps these devices aren’t meant for you. At this point, you’ve got little recourse. These companies will continue to use your data, and there’s nothing stopping them from spying on you. That is, unless you prevent them from doing it in the first place.
If you want to keep your private conversations private, either unplug your smart speaker when you’re not using it, or don’t get one in the first place. Otherwise, you’ll continue to give your implied consent that you’re totes cool with them butting in on your personal life, and they’ll continue to be equally totes cool with using it without your permission.
HEY needs to fix its issues to be the Gmail killer it claims to be
(TECH NEWS) You would hope that HEY, the paid email service, would launch without issues but it has a few. Let’s hope some of that money goes to fixing them.
Last week, we covered HEY–a new email service that seemingly has a lot to offer–and while we largely praised the service despite it being a paid client awash in a sea of free email options, not everyone is fully on board with HEY’s inimitable charm–at least, not yet.
Adam Silver, an interaction designer focused on user experience, had some criticisms of HEY–many of which he identified as “pretty surprising oversights.” Though Silver does mention that his overall opinion of the service is good, these oversights are the focus of his review.
“All of these things are really easy to fix,” amends Silver.
Another issue Silver highlights is the inbox (imbox?) sorting. As we mentioned previously, there are three locations for email: the imbox, the feed, and the paper trail, each of which serves a different purpose. The problem with this system is that organizing emails by only three overarching categories affords little flexibility; furthermore, Silver notes that the menu for accessing each folder leaves a lot to be desired from a design standpoint.
The feed is also the subject of Silver’s criticism in that it doesn’t function enough like a traditional inbox to the point that it is actually difficult to use. Especially given the feed’s purpose–to store newsletters and such in a free-scrolling manner–this is a hold-up for sure; coupled with the feed’s lack of notifications, you can see how this problem cripples the user experience without active attention to the ancillary feed inbox.
Lastly, Silver mentions that the name “imbox” is, well, stupid. “This is not a typo but it’s not good,” he says. “You need a really good reason not to keep things simple.”
This is actually a point that we initially glossed over in our overview, but it’s another instance of a company doing a little too much to stand out–and, in doing so, potentially disrupting the user experience. “Keeping it simple” by calling the delivery place for your email the “inbox” won’t sink your brand, and the name “imbox” is sure to, at best, annoy.
It’s important to reaffirm that HEY’s driving principle–accessible email that prioritizes your privacy and charges you a relatively nominal fee for doing so–is good, and that’s the tough part of any app’s development; should they choose to follow Silver’s lowkey advice and make a few tweaks, they’ll have a winning product.
Live captioning via AI is now available for Zoom, if a little limited
(TECH NEWS) In order to be more inclusive, and improve the share of information with your team, live captioning is a great option for your next Zoom call.
The ubiquitous all-father Zoom continues to prompt innovation–and in a time during which most companies are still using some form of remote communication, who can blame them? It’s only fitting that someone would come along and try to flesh out Zoom’s accessibility features at some point, which is exactly what Zoom Live Captioning sets out to accomplish.
Zoom Live Captioning is a Zoom add-on service that promises, for a flat fee, to caption up to 80 hours per month of users’ meetings via an easy-to-implement plugin. The allure is clear: a virtual communication environment that is more time-efficient, more accessible, and more flexible for a variety of usage contexts.
Unfortunately, what’s less clear is how Zoom Live Captioning proposes to achieve this goal.
The live-captioning service boasts, among other things, “limited lag” and “the most accurate [speech-to-text AI] in the world”–a service that, despite its sensational description, is still only available in English. Furthermore, anyone who has experienced auto-captioning on YouTube videos–courtesy of one of the largest technology initiatives in the world–knows that, even with crystal-clear audio, caption accuracy is questionable at best.
Try applying that level of moving-target captioning to your last Zoom call, and you’ll see what the overarching problem here is.
Even if your Zoom call has virtually no latency, everyone speaks clearly and enunciates perfectly, your entire team speaks conversational English at a proficient degree across the board, and no one ever interrupts or experiences microphone feedback, it seems reasonable to expect that captions would still be finicky. Especially if you’re deaf or hard of hearing–a selling point Zoom Live Captioning drives home–this is a problematic flaw in a good idea.
Now, it’s completely fair to postulate that any subtitles are better than no subtitles at all. If that’s the decision you’d like to make for your team, Zoom Live Captioning starts at $20 per person per month; larger teams are encouraged to contact the company to discuss more reasonable rates if they want to incorporate live captioning across an enterprise.
Nothing would be better for speech-to-text innovation than being wrong about Zoom Live Captioning’s potential for inaccuracy, but for now, it’s safe to be a little skeptical.
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