Automated Insights

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description: a company that uses natural language generation to transform data into narratives and insights

24 results

Four Battlegrounds

by Paul Scharre  · 18 Jan 2023

Only Humans Need Apply: Winners and Losers in the Age of Smart Machines

by Thomas H. Davenport and Julia Kirby  · 23 May 2016  · 347pp  · 97,721 words

description of data and analysis were once the province of humans, but automated systems are already beginning to take them over. In journalism, companies like Automated Insights and Narrative Science are already creating data-intensive content. Sports and financial reporting are already at some risk, although the automation of these domains is

on his leadership of the automation of business and sports news for AP. AP is now using an automated story-writing tool called Wordsmith, from Automated Insights. The tool generates prose accounts of corporate earnings and sports events. The project started in 2014 and has been expanded since then; when we checked

constrained for newsprint space, but there are few if any constraints on online content volume. As Robbie Allen, the CEO of the automation software vendor Automated Insights, put it, “The sign of a true innovator is someone that can look into the future and map a course from how to get from

another hallmark of step-up types: They build an ecosystem of partners that collectively makes progress, and profits from it. In fact, AP invested in Automated Insights and gained a substantial return on its investment when the vendor was acquired in 2015. And this wasn’t the only partnership that Ferrara nurtured

(New York: Portfolio, 2015). 30. Will Oremus, “The Prose of the Machines,” Slate, July 14, 2014, http://www.slate.com/articles/technology/technology/2014/07/automated_insights_to_write_ap_earnings_reports_why_robots_can_t_take_journalists.html. 31. Philip Auerswald, “The Bifurcation Is Near,” author’s blog, May 19, 2015

–86, 89–107 three forms, for specialization, 166–69 as wheels for the mind, 63–65 Augmentation Research Center, 64 “Augmenting Human Intellect” (Engelbart), 64 Automated Insights, 22, 97 Wordsmith, 96 automation, 1, 3–4, 5, 6, 8, 12–13 augmentation vs., 61–63, 128–29, 204–8, 223–24 business process

To Save Everything, Click Here: The Folly of Technological Solutionism

by Evgeny Morozov  · 15 Nov 2013  · 606pp  · 157,120 words

are into international news) or some gossipy tidbit about her life with Brad Pitt (if you are into Hollywood affairs). Many firms—with names like Automated Insights and Narrative Science—already employ algorithms to produce stories automatically. The next logical step—and probably a very lucrative one—will be to target such

New Laws of Robotics: Defending Human Expertise in the Age of AI

by Frank Pasquale  · 14 May 2020  · 1,172pp  · 114,305 words

-help-trump-wapo-reports/. 90. Will Oremus, “The Prose of the Machines,” Slate, July 14, 2014, http://www.slate.com/articles/technology/technology/2014/07/automated_insights_to_write_ap_earnings_reports_why_robots_can_t_take_journalists.html. 91. Thorstein Veblen, Absentee Ownership and Business Enterprise in Recent Times (London: George

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

by Thomas H. Davenport  · 4 Feb 2014

,” but they don’t often enough employ ­narrative (rather than graphic images) to do so. This approach, used by such companies as Narrative Sciences and Automated Insights, creates a story from raw data. Automated narrative was initially used by these companies to write journalistic accounts of sporting contests, but it is also

functions and, 73, 76, 77f, 134 Argyros, Tasso, 140 assessment of readiness for big data, 205–209 Aster Data, 140 @WalMartLabs, 22 auto-analytics, 12 Automated Insights, 126 automated decision making, 108–109, 124 automated modeling, 118, 124 automated narratives, 125–126 automated testing, 96, 160, 164, 165 automation of existing processes

New Dark Age: Technology and the End of the Future

by James Bridle  · 18 Jun 2018  · 301pp  · 85,263 words

Press have had help from a new kind of journalist: an entirely automated one. AP is one of the many clients of a company called Automated Insights, whose software is capable of scanning news stories and press releases, as well as live stock tickers and price reports, in order to create human

from the raw data about each game. All the stories, in place of a journalist’s byline, carry the credit: ‘This story was generated by Automated Insights.’ Each story, assembled from pieces of data, becomes another piece of data, a revenue stream, and another potential source for further stories, data, and streams

as Governance,’ 183 Assistant software, 152 Associated Press, 124 ‘As We May Think’ (Bush), 23–4 Aubrey, Crispin, 189 Aurora (Robinson), 128 AutoAwesome software, 152 Automated Insights, 123–4 automated journalism, 123–4 automated trading programs, 124 automation bias, 40, 42–3, 95 aviation, 35–6 B BABYFUN TV, 225 Ballistic Research

Rule of the Robots: How Artificial Intelligence Will Transform Everything

by Martin Ford  · 13 Sep 2021  · 288pp  · 86,995 words

The Future of the Professions: How Technology Will Transform the Work of Human Experts

by Richard Susskind and Daniel Susskind  · 24 Aug 2015  · 742pp  · 137,937 words

Evernote.217 And, as noted, some tasks are no longer undertaken by people at all. In 2014 Associated Press started to use algorithms developed by Automated Insights to computerize the production of several hundred formerly handcrafted earnings reports, producing fifteen times as many as before.218 Forbes now provides similarly for earnings

I, Warbot: The Dawn of Artificially Intelligent Conflict

by Kenneth Payne  · 16 Jun 2021  · 339pp  · 92,785 words

When Computers Can Think: The Artificial Intelligence Singularity

by Anthony Berglas, William Black, Samantha Thalind, Max Scratchmann and Michelle Estes  · 28 Feb 2015

, more cleverly if dork and blork are not in its dictionary Please stop talking nonsense. Journalistic generation One commentator thought that a recent program called Automated Insights demonstrated a new level of artificial intelligence research because it could generate exciting commentary on sporting events that is indistinguishable from that written by professional

lesser matches that would not otherwise justify the attention of a journalist. This is the type of dialog that can be generated (not actually from Automated Insights):The Reds put on a magnificent show and slaughtered the Blues 27 points to 7. This promoted the Reds to a well earned third place

The Autonomous Revolution: Reclaiming the Future We’ve Sold to Machines

by William Davidow and Michael Malone  · 18 Feb 2020  · 304pp  · 80,143 words

The Creativity Code: How AI Is Learning to Write, Paint and Think

by Marcus Du Sautoy  · 7 Mar 2019  · 337pp  · 103,522 words

System Error: Where Big Tech Went Wrong and How We Can Reboot

by Rob Reich, Mehran Sahami and Jeremy M. Weinstein  · 6 Sep 2021

Squeezed: Why Our Families Can't Afford America

by Alissa Quart  · 25 Jun 2018  · 320pp  · 90,526 words

Our Final Invention: Artificial Intelligence and the End of the Human Era

by James Barrat  · 30 Sep 2013  · 294pp  · 81,292 words

Thinking Machines: The Inside Story of Artificial Intelligence and Our Race to Build the Future

by Luke Dormehl  · 10 Aug 2016  · 252pp  · 74,167 words

Always Day One: How the Tech Titans Plan to Stay on Top Forever

by Alex Kantrowitz  · 6 Apr 2020  · 260pp  · 67,823 words

Talk to Me: How Voice Computing Will Transform the Way We Live, Work, and Think

by James Vlahos  · 1 Mar 2019  · 392pp  · 108,745 words

Digital Empires: The Global Battle to Regulate Technology

by Anu Bradford  · 25 Sep 2023  · 898pp  · 236,779 words

A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend Them Back

by Bruce Schneier  · 7 Feb 2023  · 306pp  · 82,909 words

Neurodiversity at Work: Drive Innovation, Performance and Productivity With a Neurodiverse Workforce

by Amanda Kirby and Theo Smith  · 2 Aug 2021  · 424pp  · 114,820 words

Digital Disconnect: How Capitalism Is Turning the Internet Against Democracy

by Robert W. McChesney  · 5 Mar 2013  · 476pp  · 125,219 words

The Data Detective: Ten Easy Rules to Make Sense of Statistics

by Tim Harford  · 2 Feb 2021  · 428pp  · 103,544 words

Code Dependent: Living in the Shadow of AI

by Madhumita Murgia  · 20 Mar 2024  · 336pp  · 91,806 words