The IBM Watson Hype Machine Shouts Again
October 28, 2016
The IBM Watson semi news keeps on flowing. The PR firms working with IBM and the Watson team may bring back the go go days of Madison Avenue. Note, please. I wrote “may.” IBM’s approach, in my opinion, is based on the Jack Benny LSMFT formula. Say the same thing again and again and pretty soon folks will use the product. The problem is that IBM has not yet found its Jack Benny. Bob Dylan, the elusive Nobel laureate, is not exactly the magnetic figure that Mr. Benny was.
For a recent example of the IBM Watson buzz-o-rama, navigate to “IBM Watson: Not So Elementary.” I know the story is important. Here’s the splash page for the write up:
I will definitely be able to spot this wizard if I bump into him in Harrod’s Creek, Kentucky. I wonder what the Watson expert is looking at or for. Could it be competitors like Facebook or outfits in the same game in China and Russia?
The write up begins with an old chestnut: IBM’s victory on Jeopardy. No more games. I learned:
IBM’s cognitive computing system is through playing games. It’s now a hired gun for thousands of companies in at least 20 industries.
I like the “hired” because it implies that IBM is raking in the dough from 20 different industry sectors. IBM, it seems, is back in the saddle. That is a nifty idea but for the fact that IBM reported its 18th consecutive quarter of revenue declines. The “what if” question I have is, “If Watson were generating truly big bucks, wouldn’t that quarterly report reflect a tilt toward positive revenue growth?” Bad question obviously. The Fortune real journalist did not bring it up.
The write up is an interview. I did highlight three gems, and I invite—nay, I implore—you to read and memorize every delicious word about IBM Watson. Let’s look at the three comments I circled with my big blue marker.
Augmented Intelligence
at IBM, we tend to say, in many cases, that it’s not artificial as much as it’s augmented. So it’s a system between machine computing and humans interpreting, and we call those machine-human interactions cognitive systems. That’s kind of how it layers up….it’s beginning to learn on its own—that is moving more in the direction of what some consider true artificial intelligence, or even AGI: artificial general intelligence.
Yikes, Sky Net on a mainframe, think I.
Training Watson
there isn’t a single Watson. There’s Watson for oncology. There’s Watson for radiology. There’s Watson for endocrinology…for law…for tax code…for customer service.
I say to myself, “Wow, the costs of making each independent Watson smart must be high. What if I need to ask a question and want to get answers from each individual Watson? How does that work? How long does it take to receive a consolidated answer? What if the customer service Watson gets a question about weather germane to an insurance claim in South Carolina?”
The Competition
The distinctness of the Watson approach has been to create software that you can embed in other people’s applications, and these are especially used by the companies that don’t feel comfortable putting their data into a single learning system—particularly one that’s connected to a search engine—because in effect that commoditizes their intellectual property and their cumulative knowledge. So our approach has been to create AI for private or sensitive data that is best reserved for the entities that own it and isn’t necessarily ever going to be published on the public Internet.
I ponder this question, “Will IBM become the background system for the competition?” My hunch is that Facebook, Google, Microsoft, Amazon, and a handful of outfits in backwaters like Beijing and Moscow will think about non IBM options. Odd that the international competition did not come up in the Fortune interview with the IBM wizard.
End Game
these systems will predict disease progression in time to actually take preventive action, which I think is better for everybody.
“Amazing, Watson will intervene in a person’s life,” blurt my Sky Net sensitive self.
Please, keep in mind that this is an IBM Watson cheer which is about 4,000 words in length. As you work through the original Fortune article, keep in mind:
- The time and cost of tuning a Watson may cost more than a McDonald’s fish sandwich
- The use of “augmented intelligence” is a buzzword embraced by a number of outfits, including Palantir Technologies, a competitor to IBM in the law enforcement and intelligence community. Some of IBM’s tools are ones which the critics of the Distributed Common Ground System suggest are difficult to learn, maintain, and use. User friendly is not the term which comes to mind when I think of IBM. Did you configure a mainframe or try to get a device driver for OS/2 to work? There you go.
- The head of IBM Watson is not an IBM direct hire who rose through the ranks. Watson is being guided by a person from the Weather Channel acquisition.
How does Watson integrate that weather data into queries? How can a smart system schedule surgeries when the snow storm has caused traffic jams. Some folks may use an iPhone or Pixel or use common sense.
Stephen E Arnold, October 28, 2016
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