Steve Crowe, Editor of The Robot Report, catches up with 10-year-old robotics prodigy Michael Wimmer at the Robotics Summit & Expo 2019.
Chatbots and Natural Language Processing (NLP)
Natural Language Processing is a based on deep learning that enables computers to acquire meaning from inputs given by users. In the context of bots, it assesses the intent of the input from the users and then creates responses based on contextual analysis similar to a human being.
Source: Maruti Techlabs
Posted in Chatbots
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The Failure Rate of Enterprises Deploying AI and Other Data on AI
The 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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Posted in Artificial Intelligence
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The Impact of AI and Automation on Jobs Now and in the Future
Amazon 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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Posted in Artificial Intelligence
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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
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
AI, IoT and cloud computing key drivers of acquisitions in technology, media and telecoms over last 2 years
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.
AI by the numbers: Surveys and forecasts, July 2019
What 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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Posted in Artificial Intelligence, Data Science, Deep Learning
Tagged AI case studies
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The End of Big Data and the Beginning of Big Data AI
In 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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Posted in Big Data
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