The Next New New Thing

In 1999 Michael Lewis told the story of “the new new thing” in terms of a single individual, Jim Clark, a “new-capitalist adventurer” in the words of the NY Times reviewer.  It was an exciting story but as we approach 2015, it seems dated, even quaint – dated because the new new things were individual companies – Silicon Graphics, Netscape, myCFO and Healtheon.

Today new new things are explosions of companies that seem to come in waves – waves such as cloud computing, Big Data and now what Shivon Zilis, of Bloomberg Beta, calls machine intelligence.  One wave often drives another, or at least enables it.  Machine Intelligence, perhaps the newest new thing, depends on massive data sets, so Big Data had to come first.

Shivon has done us all a service by scouring the startup world for artificial intelligence, machine learning and data-related technologies and created a landscape that puts them all in context.  Her diagram of the Machine Intelligence Landscape – she’s using “machine intelligence” as a unifying term for machine learning and AI – has five categories, each with multiple subcategories that suggest some of the areas where they will transform the way we work and multiple companies already implementing them (www.shivonzilis.com/machineintelligence):

  • Core Technologies

o   Artificial Intelligence – Deep Learning – Machine Learning – NLP Platforms – Predictive APIs – Image Recognition – Speech Recognition

  • Rethinking Enterprise

o   Sales – Security/Authentication – Fraud Detection – HR/Recruiting – Marketing _ Personal Assistant – Intelligence Tools

  • Rethinking Industries

o   AdTech – Agriculture – Education – Finance – Legal – Manufacturing – Medical – Oil and Gas – Media/Content – Consumer Finance – Philanthropies – Automotive – Diagnostics – Retail

  • Rethinking Humans/HCI (human-computer interaction)

o   Augmented Reality, Gestural Computing, Robotics, Emotional Recognition

  • Supporting Technologies

o   Hardware – Data Prep – Data Collection

Shivon recommends we focus on her core technology category for innovations at the heart of machine intelligence and suggests using the landscape to package some of the technologies into a new new industry application for those of us looking to build a company.  So spot the market opportunities, and you have an amazing map for innovation!  Even Harry Potter didn’t have one of these!

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