This program essentially was a version of Face2Face, deepfake and other tools of the same style. Taking a recording of one person’s face they could then transmit this to another person. Considering the amount of time spent on it, the result was quite impressive.
Application-wise this one is more of a “what could journalists soon have to deal with” than anything they themselves will use, in my opinion. (Let’s hope James O’Keefe never hears of this) What I can see some use in on the field of journalism would be deconstructing this technology, as knowing how it happens may help journalists of tomorrow analyse if a video was tampered with in this way or not. The second option is a bit stranger: Instead of having separate Anchors, you could just have one person who isn’t actually real doing the job (possibly interesting for online platforms), or replace Anchors who are sick/unavailable, which just opens another can of worms when it comes to ethics in media…
Of course, for other media professionals tools like this may open some new avenues that could be used in interesting ways too.
The second eventual winner, this one was quite impressive and totally deserved in my opinion. Through linking Google Home, an IPad and a printer, this tool printed badges fully voice-controlled. It ran into some of the usual troubles associated with voice controls during the pitch, but that’s to be expected.
As I mentioned above, Smart Badge’s victory was deserved. The tool does one thing, and it does it well. I can see some application at parties or in places where having to enter something digitally may be a bit of a problem. It’s not groundbreaking, but putting up a few of these might help streamline some events in the future.
This one was pitched as “Tinder for News”. The program showed you a headline, and through swiping you decided if you wanted to ignore it or add it onto your reading list, with each swipe improving the tool’s knowledge of your reading habits and thus the suggestions.
The last entry which functioned purely voice controlled, ratingsbot used voice recognition to allow users to browse their account’s various metrics. This worked quite well in the presentation, with the option to choose the channel and timeframe. From what I could tell, the only thing the tool could do at the moment was popularity, which you could then further inspect on each entry.
This one was more of a gimmick again in my opinion, as I personally don’t see much use for voice control when it comes to a metrics tool. Nevertheless it was interesting to see what can be done with the tool and how specific you could get with search terms.