Posts Tagged ‘machine learning’

Are Machines Stealing Your Job?

Saturday, October 8th, 2016

Three myths about artificial intelligence and its impact on content creators.

Industrialization is transforming our information economy, destroying old business models and creating new opportunities. The impact it will have on content professionals will make social media seem tame in comparison. To understand this transformation and leverage it to your advantage, you need to parse the myths from reality.

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The Industrialization of the Internet

Sunday, September 18th, 2016

The industrialization of the internet is driven by the relentless pursuit of productivity advantages, not quality improvements.

“The digital revolution is probably going to be as important and transformative as the industrial revolution.” — Ryan Avent, The Economist columnist, author of The Wealth of Humans (via The Atlantic).

Web 2.0 was a social revolution: many hands make light work. In stark contrast, the current revolution, powered by artificial intelligence and machine learning, is industrial: the automation of tasks displaces human work. But trite definitions don’t prepare us for change. Whatever you call it, our digital economy is in the midst of profound changes. By placing these changes within the frame of industrial manufacturing, the true values and motivations that underlie them than are illuminated.

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Big data’s creative and empathetic sibling (and why they struggle to get along)

Wednesday, November 13th, 2013

Joyce Hostyn argues that Better Human Understanding, Not Big Data, Is the Future of Business. Some excerpts (with my emphasis):

Despite the best of intentions, we’re not data driven, we’re hypothesis driven. Our stories (our mental models) are merely hypotheses of how the world works. But we see them as reality and they influence what data we collect, how we collect it and the meaning we glean from it…

In a quest to become data driven, are marketers trapping themselves with outdated mental models of data and analytics? “Big data is being wasted on marketing. The true power of analytics is in revealing cultural dynamics.”

Many echo these concerns about data-driven marketing, and the need to be skeptical and hypothesis-driven. (1) (2) (3)

Hostyn concludes her thoughtful article with a number of questions, including:

  • Can we leverage big data to zoom out and understand patterns and trends, then zoom back in for a dive deep into the hearts and minds of individuals?
  • Are we willing to develop hypotheses with the potential to disrupt our old mental models? Create experiments to test those hypotheses. Prototype to think. Collect feedback. Iterate.

At Primal, we’ve invested years exploring this mode of hypothesis-setting as a lens into big data. It involves a collaboration between humans and machines across the full spectrum of analytical and synthetical thinking.

What follows is a summary of that exploration and what we’ve learned to this point.

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