The Failure Rate of Enterprises Deploying AI and Other Data on AI

AIimageThe surveys, studies, forecasts and other quantitative assessments of the health and progress of AI for this week reveal the state of enterprise AI adoption, workers’ attitudes towards AI, data insecurity and privacy challenges, the fortunes of AI startups, and the superior performance of AI over humans in some situations.

25% of organizations worldwide that are already using AI solutions report up to 50% failure rate; lack of skilled staff and unrealistic expectations were identified as the top reasons for failure [IDC global survey of 2,473 organizations, May 2019]

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The Impact of AI and Automation on Jobs Now and in the Future

AI jobsAmazon announced last week that it will spend $700 million to train about 100,000 workers in the US by 2025, helping them move into more highly skilled jobs. The New York Times observed that with this program Amazon is acknowledging that ”advances in automation technology will handle many tasks now done by people.”

The number of jobs which AI and machines will displace in the future has been the subject of numerous studies and surveys and op-eds and policy papers since 2013, when a pair of Oxford academics, Carl Benedikt Frey and Michael Osborne, estimated that 47% of American jobs are at high risk of automation by the mid-2030s. Here are a few more recent examples of what has become a popular number-crunching (automated, computerized, AI-driven) exercise:

McKinsey Global Institute: between 40 million and 160 million women worldwide may need to transition between occupations by 2030, often into higher-skilled roles. Clerical work, done by secretaries, schedulers and bookkeepers, is an area especially susceptible to automation, and 72% of those jobs in advanced economies are held by women.

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AI Creates “Art”

https://gfycat.com/frigidsphericalgnatcatcher

 

https://www.artnome.com/news/2019/6/30/machine-learning-for-art-deep-kitsch-or-creative-augmentation

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AI History In Pictures: John McCarthy Playing Chess with a Mainframe Computer

JohnMcCarthyChess

John McCarthy, artificial intelligence pioneer, playing chess at Stanford’s IBM 7090

John McCarthy used an improved version of the Kotok program to play correspondence chess against a Soviet program developed at the Moscow Institute of Theoretical and Experimental Physics (ITEP) by George Adelson-Velsky and others. In 1967, a four-game match played over nine months was won 3-1 by the Soviet program.

Source: Chessprogramming.org

 

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AI, IoT and cloud computing key drivers of acquisitions in technology, media and telecoms over last 2 years

MA_tech_globaldata

In 2018, the total transaction value of M&A deals announced in the global TMT sector reached $630 billion, up 23% from 2017 and significantly ahead of other markets in both 2017 and 2018, according to GlobalData’s Deals Database.

GlobalData’s latest thematic report, Mergers & Acquisitions in Technology Media and Telecoms (TMT), reveals the most notable deals over the last five years, identifies their key thematic drivers, and predicts potential future acquisition targets.

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AI by the numbers: Surveys and forecasts, July 2019

DilbertAIemotionsWhat is the state-of-AI in July 2019? Recent surveys, studies, and forecasts illustrate future expectations and current realities regarding the impact of AI on jobs; the conditions, challenges, and benefits of AI adoption; and bits of data related to data or AI fuel.

$142,859: Average salary of machine learning engineer, May 2019 [Indeed]

29.1%: Increase in AI job postings on Indeed over the last 12 months, down from 57.9% increase from May 2017 to May 2018 [Indeed]

20%: Percentage of job seekers (11,000) that fear they will one day lose their job to AI [Ziprecuiter]

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The End of Big Data and the Beginning of Big Data AI

Dilbert_BigDataIn December 2014, I asked whether we were at the beginning of “the end of the Hadoop bubble.” I kept updating my Hadoop bubble watch (here and here) through the much-hyped IPOs of Hortonworks and Cloudera. The question was whether an open-source distributed storage technology which Google invented (and quickly replaced with better tools) could survive as a business proposition at a time when enterprises have moved rapidly to adopting the cloud and “AI”—advanced machine learning or deep learning.

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Startup Unicorns’ Stock Performance After IPO in 2019

unicorn

Source: The Hottest IPOs in 2019

HT:  

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A New Data Science Journal from Harvard and MIT

 

Dilbert_turned on by BigDataThe Harvard Data Science Initiative (HDSI) and the MIT Press just launched Harvard Data Science Review (HDSR),  a “premier research journal, a leading educational publication, and a popular magazine.”

The inaugural issue of HDSR includes contributions from internationally renowned scholars and educators, as well as leading researchers in industry and government, such as Christine Borgman (UCLA), Rodney Brooks (MIT), Emmanuel Candes (Stanford University), David Donoho (Stanford University), Luciano Floridi (Oxford/The Alan Turing Institute), Alan M. Garber (Harvard), Barbara J. Grosz (Harvard), Alfred Hero (University of Michigan), Sabina Leonelli (University of Exeter), Michael I. Jordan (University of California, Berkeley), Andrew Lo (MIT), Maja Matari? (University of Southern California), Brendan McCord (US Department of Defense), Nathan Sanders (Warner Media), Rebecca Willett (University of Chicago), and Jeannette Wing (Columbia University).

Sample articles in the first issue:

  • A trio of articles on “Data Life Cycle” by Christine Borgman, UCLA, Sabina Leonelli University of Exeter, and Jeannette Wing, Columbia University
  • A Data in the Life: Authorship Attribution in Lennon-McCartney Songs” by Mark Glickman, Harvard University; Jason Brown, Dalhousie University; Ryan Song, Harvard University
  • Machine-learning with Statistical Imputation for Predicting Drug Approvals” by Andrew W. Lo, MIT; Kien Wei Siah, MIT; and Chi Heem Wong, MIT

Featured articles on AI:

  • Artificial Intelligence—The Revolution Hasn’t Happened Yet” by Michael I. Jordan, University of California, Berkeley, with 11 discussants from pioneering roboticists to leading AI researchers and Jordan’s rejoinder
  • A Unified Framework of Five Principles for AI in Society”­ by Luciano Floridi and Josh Cowls, University of Oxford and The Alan Turing Institute
  • Mining the Past: Artificial Intelligence” by Stephanie Dick, University of Pennsylvania
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A Very Short History of Portable Music

Infographic: The History of Portable Music | Statista You will find more infographics at Statista

From BuzzFeed:

The recent discourse about AirPods, whether they’re good or bad, or neutral themselves but separating everyone from the physical, echoes what the original Walkman inspired. “With the advent of the Sony Walkman came the end of meeting people,” a CBS Records vice president complained to the Post. “It’s like a drug: You put the Walkman on and you blot out the rest of the world.” George F. Will defended the Walkman because it separated you from the walkabout realities of everyday life! According to an academic paper, a French interviewer asked young people “whether they are losing contact with reality,” “whether the relations between eyes and ears are changing radically,” “whether they are worried about the fate of humanity.” Allan Bloom’s argument about the decline in college education, The Closing of the American Mind, features a throw-yourself-down-the-stairs grotesque of a teenage boy, toward whom the entire world has now been oriented, wearing a Walkman.

“We have entered the age of the urban hermit,” Walter Shapiro wrote in ’82, lamenting the end of the boom box and calling the Walkman “a potent symbol of an antisocial electronic future.”

Chris Hoffmann / Picture Alliance / Getty Image

Sony debuts its latest Walkman model in 1983.

 

 

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