Narrative Science

Narrative Science
Private
Industry
Founded January 2010 (2010-01)
Founder
  • Larry Birnbaum
  • Stuart Frankel
  • Kris Hammond
Headquarters Chicago, Illinois, United States
Products
  • Quill
  • Quill Engage

    Narratives for Qlik Narratives for Power BI Narratives for Tableau Narratives for Business Intelligence, SAP, BusinessObjects, Lumira edition

    Narratives for Business Intelligence API
Website narrativescience.com

Narrative Science is an artificial intelligence technology company based in Chicago, Illinois that invented Quill, an advanced natural language generation platform.

History

Narrative Science was founded in 2010 in Evanston, Illinois, after starting at Northwestern University as an academic project in the Intelligent Information Laboratory.[1] The first prototype of the company technology went by the project name StatsMonkey and was developed in the laboratory by Kris Hammond, Larry Birnbaum, Nick Allen and John Templon.[1] StatsMonkey automatically generated news stories on baseball game recaps from applicable baseball game data such as players, game score, and win probability.[2] Narrative Science licensed StatsMonkey and the related intellectual property from Northwestern and began commercial operations in early 2010.[3] Afterwards the company developed an Advanced Natural Language Generation (Advanced NLG) platform called Quill, which analyzes structured data and automatically generates Intelligent Narratives.[4] Narrative Science has several investors, including SAP and In-Q-Tel, the investment arm of the Central Intelligence Agency.[5] In 2014, the Chicago company raised another $10 million in equity financing, led by customer USAA, for a total of $32 million raised since the company’s inception.[6]

Products

Quill

Quill is an advanced natural language generation technology powered by artificial intelligence and delivered as a Software as a Service (SaaS).[7] Quill automatically creates a comprehensive story that attempts to meet the needs of the person it is intended for using a combination of data analytics, natural language generation, and core artificial intelligence concepts according to Dan Woods.[8] Narrative Science's Chief Scientist Kris Hammond explains the platform’s process as simply “mining data for meaning and insight.”[7] The software uses specific sets of data to answer questions about the state of the world for its user.[4] To date, Quill can only write in English.[9]

Narratives for Qlik

In January 2016, Narrative Science partnered with visual analytics software provider Qlik, to launch Narratives for Qlik, an extension for Qlik Sense desktop and Qlik Sense Enterprise/Server that automatically communicates insights from visualizations into natural language.[10] The narratives are perceptive and dynamic, explaining what is most interesting and important in the data and updating as the user drills down for deeper analysis.[11][12][13][14][15]

Narratives for Power BI

In April 2016, Narrative Science collaborated with Microsoft[16] to launch a custom visual for advanced data storytelling.[17] Powered by Quill, the seamlessly integrated visual will enable Microsoft Power BI users to gain insight from all of their data - including Salesforce, Github and Adobe Analytics - by transforming it into intelligent narratives.[18] Instead of solely relying on traditional data visualizations for interpretation or analysis explanations,[19] Narratives for Power BI reveals data relationships that extend beyond obvious interpretations.[20][21]

Narratives for Tableau

In September 2017, Narrative Science launched an integration with Tableau.[22] Narratives for Tableau is a Google Chrome extension that immediately generates data-driven stories about Tableau visualizations that update in real-time as users explore their visualizations.

Narratives for Business Intelligence, SAP BusinessObjects, Lumira edition

In November 2016, Narrative Science announced the SAP BusinessObjects Lumira edition of their Narratives for BI suite.[23]

Narratives for Business Intelligence API

In February 2017, Narrative Science unveiled their API for the Business Intelligence community.[24] It enables BI and Analytics vendors to integrate NLG capabilities into their platform, changing how users interpret and communicate data, broadening adoption of business intelligence and driving product development.

Quill Engage

In March 2014, Narrative Science launched Quill Engage, a free Google Analytics application that delivers “plain English,” narrative style data analysis reports for website owners.[25] The application analyzes historical data and trends from Google Analytics to create both weekly and monthly reports which are delivered in narrative form.[25] Quill Engage reports key metrics and performance indicators to users, such as content engagement, web traffic and sources, referrals, paid search, and audience segmentation.[26] The technology is powered by Narrative Science's Quill platform.[26]

Recognition

In 2017, Fortune listed Narrative Science as one of the 50 companies leading the artificial intelligence revolution.[27] In 2015, CNBC named Narrative Science to their Disruptor 50 list.[28]

Gartner named Narrative Science as one of the “Cool Vendors in Smart Machines” in 2014.[29]

In 2013, the company was named to the Red Herring Top 100 for North America,[30] which highlights promising startups in Asia, Europe, and the Americas.

Narrative Science won a 2013 Edison Award for Innovative Services in Collaboration and Knowledge Management.[31]

Competitors

Competing companies in the Narrative Language Generation industry include Automated Insights,[5] a firm based in Durham, North Carolina,[6] and Yseop, Inc, a global enterprise company with offices in New York, London and Paris.[6] Other similar companies in the area of natural language generation include Arria NLG,[32] Smartologic, Retresco, and Linguastat.

Criticism

The company received some early criticism from journalists speculating that Narrative Science was attempting to eliminate the jobs of writers, particularly in sports and finance.[33][34][35][36] Critics also argue that biases and assumptions in original data sets can lead to reinforced bias in the stories generated by natural language processors,[37] such as Narrative Science. Unlike traditional journalism, however, the computer-generated stories appear to be objective.[37] A CBS article compared artificially generated journalism in the financial sector to the property market bubble, as it leads to “everyone making investments in the same way for the same reasons”.[37] The article claimed that computer-generated narratives have the “potential to amplify biases and assumptions, but at far greater speed and on a far wider scale than anything written by humans.”[37]

An article from the Columbia Journalism School also criticized the limitations of “robo-journalism” software, as “it can’t assess the damage on the ground, can’t interview experts, and can’t discern the relative newsworthiness of various aspects of the story” and therefore, lacks a necessary human element.[38]

See also

References

  1. 1 2 "Stats Monkey". Intelligent Information Laboratory. Northwestern University. Archived from the original on 16 November 2010. Retrieved 6 June 2014.
  2. "Program Creates Computer-Generated Sports Stories". NPR. NPR. Retrieved 6 June 2014.
  3. Bachman, Justin. "Are Sportswriters Really Necessary?". Business Week. Business Week. Retrieved 6 June 2014.
  4. 1 2 Woodie, Alex. "Your Big Data Will Read to you Now". Datanami. Tabor Publications. Retrieved 10 December 2014.
  5. 1 2 Diakopoulos, Nicholas. "Automated Stories: Using Algorithms to Craft News Content". Tow Center for Digital Journalism. Columbia Journalism School. Retrieved 6 June 2014.
  6. 1 2 3 Pletz, John. "Narrative Science gets $11.5 million to write next chapter". Crain's Chicago Business. Crain's. Retrieved 6 June 2014.
  7. 1 2 Weissman, Cale. "Taking data analysis to a new plateau: Narrative Science raises $11.5M". PandoDaily. Retrieved 6 June 2014.
  8. https://www.forbes.com/sites/danwoods/2016/08/31/data-driven-storytelling-and-dashboards-how-narrative-sciences-nlg-reaches-a-new-level/#40a34ebb7e98
  9. Carter, Jamie. "Could Robots be the Writers of the Future?". TechRadar. FutureUS. Retrieved 10 December 2014.
  10. "Qlik Market". Retrieved 27 January 2016.
  11. Marr, Bernard. "Why Management Dashboards And Analytics Will Never Be The Same Again". Forbes. Retrieved 27 January 2016.
  12. Noyes, Katherine. "Got data? This free tool will generate a story to tell you what it means". CIO. Retrieved 27 January 2016.
  13. Vizard, Mike. "Narrative Science Brings Natural Language to Qlik Visualization Software". ITBusinessEdge. Retrieved 27 January 2016.
  14. Gutierrez, Daniel. "Narrative Science Launches Narratives for Qlik". insideBIGDATA. Retrieved 27 January 2016.
  15. Penn, David. "Narrative Science Introduces Narratives for Qlik". Finovate Blog. Retrieved 27 January 2016.
  16. "Get natural language narratives in Power BI Reports". powerbi.microsoft.com. Retrieved 2016-07-26.
  17. "Microsoft Power BI, Narrative Science collaborate on a new custom visual for advanced data storytelling - The Fire Hose". 2016-04-26. Retrieved 2016-07-26.
  18. "Narratives for Power BI | Narrative Science". www.narrativescience.com. Retrieved 2016-07-26.
  19. "New features available for Narratives for Power BI". powerbi.microsoft.com. Retrieved 2016-07-26.
  20. "Narrative Science launches new collaboration with Microsoft". Built In Chicago. Retrieved 2016-07-26.
  21. "Narrative Science Turns Business Intel Into Data-Driven Stories - Finovate". 2016-04-26. Retrieved 2016-07-26.
  22. https://www.forbes.com/sites/bernardmarr/2016/09/02/how-automated-narratives-are-now-helping-tableau-users-gain-more-insights-from-data-visualizations/#257a83762421
  23. https://blogs.sap.com/2016/12/04/sap-lumira-writes-reports-with-narrative-science/
  24. https://www.websitemagazine.com/blog/an-api-to-help-transform-data-into-narratives
  25. 1 2 Gesenhues, Amy. "New Free Google Analytics App From Narrative Science Creates Reports In "Plain English"". Marketing Land. Retrieved 6 June 2014.
  26. 1 2 Penn, David. "Narrative Science Launches Free App to Turn Data Into Readable Documents". The Finovate Group, Inc. Retrieved 6 June 2014.
  27. Rapp, Brian O'Keefe, Nicolas. "50 Companies Leading the Artificial Intelligence Revolution". Fortune. Retrieved 2017-06-17.
  28. staff, CNBC com (2015-05-12). "Narrative Science 2015 Disruptor 50". Retrieved 2017-06-17.
  29. Austin, Tom; Linden, Alexander; Rozwell, Carol; Brant, Kenneth; Ghubril, Adib; Anurag, Gupta. "Cool Vendors in Smart Machines, 2014". Gartner. Gartner, Inc. Retrieved 17 June 2014.
  30. "2013 Top 100 North America: Winners". Red Herring. Red Herring, Inc. Retrieved 17 June 2014.
  31. "2013 Edison Award Winners". Edison Awards. Retrieved 17 June 2014.
  32. "Admission to Aim" (PDF). Arria. Arria. Archived from the original (PDF) on 14 July 2014. Retrieved 6 June 2014.
  33. Clark, Patrick. "Can an Algorithm Replace Stock Analysts?". Business Week. Business Week. Retrieved 6 June 2014.
  34. Levy, Steven. "Can an Algorithm Write a Better News Story Than a Human Reporter?". Wired. Retrieved 6 June 2014.
  35. Fassler, Joe. "Can the Computers at Narrative Science Replace Paid Writers?". The Atlantic. The Atlantic. Retrieved 6 June 2014.
  36. Hamburger, Ellis. "Robo-journalists are already writing the next generation of news stories". The Verge. Retrieved 6 June 2014.
  37. 1 2 3 4 Hefferman, Margaret. "The post was written by a human". CBS News. CBS. Retrieved 6 June 2014.
  38. Howard, Alexander. "The Art and Science of Data-Driven Journalism" (PDF). Tow Center for Digital Journalism. Columbia Journalism School. Retrieved 6 June 2014.
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