When a computer can figure out whether a movie trailer is going to
positively affect an audience or not – it makes you wonder how close we
are to computer generated predictions on everything else in life. The
short answer, according to Michael Karasick, IBM's VP and Research Director at Almaden Labs, is that IBM's Watson is already making them. Since conquering “Jeopardy” and Chess, Watson has been focused on predictive healthcare, customer service, investment advice and culinary pursuits.
But they are not stopping there, IBM is allowing select customers to
use “Watson as a service” and may soon open it up to developers to build
Watson apps.
Yes, the Watson technology is still maturing, but I am convinced that
within five years the Watson platform will learn faster and make better
predictions with each new field it understands. That’s because, as
Karasick told me, “If you train a system like Watson on domain A and
domain B, then it knows how to make the equivalence between
terminologies in different domains.” That means as Watson solves
problems in chemistry; it can generate probable solutions in Physics and
Metallurgy too.
Imagine how this might be applied to marketing. By using Watson as a
service, a business could train Watson to understand its customers, then
use predictive models to recognize new products or services that their
customers will buy.
Here’s how Watson can revolutionize marketing
Predict new trends and shifting tastes
Watson is a voracious consumer of data, and it doesn’t forget
anything. You can feed it data from credit cards, sales databases,
social networks, location data, web pages and it can compile and
categorize that information to make high probability predictions.
And most shockingly, Watson is well ahead of its competitors in
sentiment analysis. According to Karasick, Watson can recognize irony
and sarcasm – and properly apprehend the intended meaning. That means
Watson can quickly analyze large sample sizes to determine whether a
movie trailer, product offering or clothing line are going to work with
consumers.
Analyze social conversations – generate leads
Most social listening solutions on the market today do an adequate
job of giving the marketer signals and reports about their industry,
competitors, partners and current customers. But it’s up to the marketer
to analyze the information and take action.
As Watson has demonstrated in other domains, it can foreseeably
predict what information is most important and make recommendations on
how to act on it. For example, if it finds a cluster of people
discussing problems that the marketer’s solution solves, Watson can
automatically notify the sales team or take action on its own to educate
the prospective customers.
Determine whether a new innovation will sell or not
Because Watson can learn from one domain of knowledge and make high
probability predictions in another, it’s reasonable to assume that if a
company wanted to understand whether a new innovation will sell or not,
Watson could analyze a company’s current market and customer base to
provide success probabilities.
We’re a long way off from a Watson with the taste of a Steve Jobs,
but if it has enough understanding of the situation, it can produce
insights that can give companies a clearer picture of the opportunities
and threats.
Computer calculated and automated growth hacking
If you’re a marketer and not familiar with growth hacking,
please study up fast. Growth hackers focus on innovative A/B testing
techniques to maximize conversions on emails, websites, social media,
online content or just about any digital media available to them. It’s a
low cost but more effective alternative to traditional media.
I can see how Watson could proactively and intelligently test,
measure and optimize digital content, ads, website pages even a
company’s product to efficiently maximize customer growth. Andy Johns of Greylock, formerly a growth hacker for Facebook,
Twitter and Quora told me that Facebook conducted 6 hacks a day to
maximize growth opportunities. I suspect Watson could easily handle 10
times that amount.
This clearly is the digital march of progress. Watson has the
potential to eliminate ineffective marketing, improve good marketing to
great marketing, and to predict how to better spend marketing dollars in
the future.
Put it all together and you’ve revolutionized marketing.
By: Mark Fidelman
Link: http://www.forbes.com/sites/markfidelman/2013/09/04/ibms-watson-set-to-revolutionize-marketing/
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