Questionnaire & Opinion Survey


In-Depth Interview: Five Steps to Data Harmonization with Abolutdata CEO Anil Kaul - DATAVERSITY

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How do smart data tools like Machine Learning and Artificial Intelligence play into the process of Data Harmonization? Anil Kaul: Machine Learning is a method of data analysis that automates analytical model building. Anil Kaul: Data Harmonization enhances the quality and utility of business data by making it relevant to the needs. Mr. Kaul's five steps lay a strong foundation for any business interested in pursuing the benefits of Data Harmonization, benefits that include faster and better Business Intelligence insights.


Pew study experts: Artificial intelligence threatens the future of capitalism

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Tech experts include computer scientists and AI researchers but also people from internet governance groups, futurists, and startup founders. A primary question in the survey was "In the next 10 years, do you think we will see the emergence of new educational and training programs that can successfully train large numbers of workers in the skills they will need to perform the jobs of the future?" About 70 percent of survey participants said they believe education and training programs will successfully prepare people for jobs of the future, but many respondents also believe education will not be sufficient to meet people's needs within the next decade, as automation and AI are expected to claim more human jobs. "I have complete faith in the ability to identify job gaps and develop educational tools to address those gaps," said founder of Data & Society Danah Boyd.


Superintelligence and Public Opinion – NewCo Shift

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Furthermore, this is not an essay about "weak" artificial intelligence -- your Alexa, or Siri, or the algorithms that guide you when using Waze. Furthermore, because of the confusion around weak AI, human-level AI, strong AI/Superintelligence and what have you, I decided I would boil down for the public the central debate to its core: hey, there's a tech out there, it might make us immortal, but it might kill us. We had little progress in space exploration, self driving cars, solar power, virtual reality, electric cars, car planes, etc. Polling guides policy, and voting, in its ideal form, affects behavior.


People are scared of artificial intelligence for all the wrong reasons

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People in Britain are more scared of the artificial intelligence embedded in household devices and self-driving cars than in systems used for predictive policing or diagnosing diseases. Participants in the survey were most worried by the notion that a robot, acting on conclusions derived by machine learning, would cause them physical harm. Predictive policing is one example she offers of dangerous algorithms at work, its pernicious effects compounded by biased data sources. Another area with potentially far-reaching implications is machine learning in healthcare.


3 ways AI will change project management for the better

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A recent Atlassian user survey found that 87 percent of respondents said artificial intelligence (AI) will change their job in the next three years. Early project management AI will be a project assistant focused on a narrow area of managing a project or team. Within these narrow areas, these early project management AI tools are giving us a glimpse of the future where AI automates tasks, provides insights, and even communicates with the team. These early, narrow project management AI tools rely on people to input data correctly, update tools in a timely manner, and make corrections.


AI Confusion Widespread Among Consumers Trends

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Most people think they know what the term "artificial intelligence" means, based on the results of a survey Pegasystems released Tuesday. Eighty percent of the male respondents and 66 percent of the women thought they understood the meaning of "AI," but 60 percent of the women correctly identified that Siri was AI-powered compared to 54 percent of the men. Forty-three percent of the women said Alexa used AI, compared to 38 percent of the men.


Machine Learning: The New Proving Ground for Competitive Advantage

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A recent survey conducted by MIT Technology Review Custom and Google Cloud reveals that while the majority of businesses are struggling to apply machine learning, others are hard at work developing strategies for the technology -- and are already realizing genuine ROI. A recent survey conducted by MIT Technology Review Custom and Google Cloud reveals that while the majority of businesses are struggling to apply machine learning, others are hard at work developing strategies for the technology -- and are already realizing genuine ROI. The speed with which respondents are able to demonstrate ROI with their ML initiatives is also notable, which, as mentioned earlier, was the not the case with big data analytics. Within the early-stage group, more than half report they are beginning to see a demonstrable ROI, and within the mature-stage group, more than half had demonstrated ROI.


5-year trends in artificially intelligent marketing

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Five or 10 years ago, only the world's savviest, most heavily funded companies had a serious foothold in artificial intelligence marketing tech. Over the last three months, we surveyed over 50 machine learning marketing executives (email registration required for the full report data) to get a sense of the important trends and implications of AI over the next five years. While most of our executives voted "Search" as the AI marketing tool with the highest profit potential today, "Recommendation and Personalization" topped the list for ROI potential in the coming five years. Rather than simply saving costs on human writers, intelligent content generation will alter existing content (and/or create new content) to help driving marketing goals.


How the GenForward Poll of Young Americans Was Conducted

U.S. News

The original sample was drawn from two sources. Fifty-one percent of respondents are part of NORC's AmeriSpeak panel, which was selected randomly from NORC's National Frame based on address-based sampling and recruited by mail, email, telephone and face-to-face interviews. Forty-nine percent of respondents are part of a custom panel of young adults that uses an address-based sample from a registered voter database of the entire U.S and is recruited by mail and telephone.


Machine Learning: The New Proving Ground for Competitive Advantage

#artificialintelligence

A recent survey conducted by MIT Technology Review Custom and Google Cloud reveals that while the majority of businesses are struggling to apply machine learning, others are hard at work developing strategies for the technology -- and are already realizing genuine ROI. A recent survey conducted by MIT Technology Review Custom and Google Cloud reveals that while the majority of businesses are struggling to apply machine learning, others are hard at work developing strategies for the technology -- and are already realizing genuine ROI. The speed with which respondents are able to demonstrate ROI with their ML initiatives is also notable, which, as mentioned earlier, was the not the case with big data analytics. Within the early-stage group, more than half report they are beginning to see a demonstrable ROI, and within the mature-stage group, more than half had demonstrated ROI.