If Watson is good enough at speech and context recognition to accomplish these things IBM can/will sell truckloads of Watson as a Service for the purpose of monitoring employees.
WaaS will read everyone's email and parse conversations recorded by their desktops and phones to identify people who are off-task, leaking information or talking about unions.
That's the sort of thing Executives care about it. When I set up email retention systems they were primarily interested in being exempt from journaling. When I set up physical security systems they wanted to be sure the executive board room cameras weren't mic'd and faced away from the main presentation area.
In practice, both systems were primarily used to keep tabs on employees - who was dumb enough to send an email to the news from work and who's leaving early.
This is how 'intelligent' systems will be used - electronic overseers with distributed eyes and ears - long before it's confined as a guest boardroom showpiece that gets tossed for suggesting the CXO get off his soapbox in a timely manner or correcting his knowingly incorrect assertions.
> WaaS will read everyone's email and parse conversations recorded by their desktops and phones to identify people who are off-task, leaking information or talking about unions.
This specifically is not a terribly difficult monitoring task. You don't need something like watson to do it. Again, already available, still not heavily deployed.
The truth is people mostly trust each other and don't do shit like that. At some places they will, but watson is not the enabler here.
I'm not sure we're talking about the same things here?
Perhaps in the startup world that is common on HN things are small, lean and trusting enough that this sort of outlook is possible.
The context of the article, Executives at the sort of companies that buy IBM, they absolutely invest in monitoring and retention by choice or by law.
Where I'm sitting now we retain every email, voicemail and internal chat for tens of thousands of people and video from hundreds of cameras. We retain 100% of voice calls for some sections. People who deal with the public have all their calls recorded as well as their screens. Every meaningful door is operated with an access card.
The limiting factor on implementation of these things is not some non-specific altruism, it's money. Money for licensing, infrastructure and operations - it's not cheap, not close.
No, Watson is not the specific enabler for these things to happen as they clearly already do, but the sort of intelligent XaaS that Watson could be is exactly what would make these systems cheaper and more effective.
Responsiveness for specific categories could be determined on the fly leading to lower size of retention and operators/administrators could probably be eliminated entirely.
Nothing worse than wasting 3 hours in a meeting and coming out where participants remember things incorrectly and go off in different directions.
If the software could make a coherent summary of and answer questions about what took place in a single, informal meeting, that would be an incredible advance. I haven't seen evidence of this.
And if you think that's old school you have never had the luxury of meeting where you had a professional PA it makes an order of magnitude difference.
Getting some serious M5 vibes right now.
What exactly have they been pitching you?
The pitches are at the level of "a pipeline off tools" + "a new level of automation", getting to detail elicits a "call with the team" which involves a discussion about "the pipeline of tools" and a possible POC, which has not happened.
We actually had a Question Answering system research strand ourselves which we couldn't really get anywhere with and I killed (mea-culpa) because of Watson, Google and Siri. I thought that we had no chance of making any headway against such strong competition and imagined that QA tech would be available in the contact centre and on the Intranet in short order.
More fool me! I've been embarrassed ever since.
I find that incredibly creepy and hope to god that never is developed.
When I think IBM, I think accounting tricks to maximize stock price. Not seeing deep insight.
We're not going to get real AI until we develop a system that asks us questions and has a sense of curiosity. A system that can make suggestions is excellent, but as described it's effectively cybermancy (http://en.wikipedia.org/wiki/Methods_of_divination). One doesn't get the sense that Watson is ever going to interrupt or pose a question on its own initiative, other than to clarify a human request put to it.
