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Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

The future of natural language generation, 2016–2026

Adam Smith (Automated Insights)
17:2518:05 Wednesday, 24 May 2017
Emerging Technologies, Strata Business Summit
Location: Capital Suite 15/16
Secondary topics:  AI, Text Analysis and Mining
Level: Non-technical
Average rating: ***..
(3.75, 4 ratings)

Who is this presentation for?

  • Data scientists, product managers, developers, and analytics experts

What you'll learn

  • Explore a real-world case study of how an AI technology like natural language generation develops in the marketplace
  • Learn how NLG may impact your business and daily life both now and in the future

Description

Natural language generation, the branch of AI that turns raw data into human-sounding narratives, is coming into its own in 2016. Adam Smith explores the real-world advances in NLG over the past decade and then looks ahead to the next. Computers are already writing finance, sports, ecommerce, and business intelligence stories. Find out what—and how—they’ll be writing by 2026.

Topics include:

  • The first companies to commercialize NLG, and why they focused on sports
  • The early market skepticism that computers could write like people
  • Growing market interest coupled with a widening focus from the companies involved (moving beyond sports into finance, business intelligence, and others)

Adam also outlines some possibilities for the future, including:

  • Writing platforms that can immediately understand any raw data they are presented without any initial human configuration
  • Personalization that moves beyond marketing into our daily lives/homes/appliances (Google Home, Amazon Echo, etc.)
  • Partially or fully automated content
  • Tools for creating automated narratives that are used as commonly as spell check by writers in every field
  • Machine learning and natural language processing combined with natural language generation to create a system that reads human-written content, understands it, and then writes a new take on the same information
  • Implications on the dissemination of knowledge and information
Photo of Adam Smith

Adam Smith

Automated Insights

Adam Smith is the chief operating officer at Automated Insights, where he is responsible for all areas of Automated Insights business, including the Wordsmith platform, new products, and professional service implementations. In addition to running company operations, he leads business development, partnerships and marketing for AI. Previously, Adam was an SVP at Square 1 Bank, where he launched a national division focused on pre-VC startups and advised hundreds of early-stage founders on strategy, sales, and fundraising, and was VP of at the CED, where he worked with the Kauffman Foundation and led development of FastTrac Tech, a world-renowned mentoring program for technology entrepreneurs.

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