Questionnaire & Opinion Survey


People are losing faith in self-driving cars following recent fatal crashes

Mashable

For a while, people were really excited about the potential of self-driving cars, which promised to make our future commutes easier, more productive, and safer. Then came some high-profile autonomous vehicle accidents -- including two fatal crashes -- and let's just say the excitement has waned a bit. SEE ALSO: Tesla's Autopilot fails haven't shaken my faith in self-driving cars. A new survey released Tuesday by the American Automobile Association found that 73 percent of American drivers are scared to ride in an autonomous vehicle. That figure is up 10 percent from the end of last year.


Even Millennials Are Losing Confidence In Autonomous Cars, Surveys Reveal

Forbes Technology

An Uber Technologies Inc. Volvo self-driving sports utility vehicles (SUV) sits on the road after a high-impact crash in Tempe, Arizona, U.S., on Friday, March 24, 2017. Uber Technologies Inc.'s self-driving cars were back on public roads Monday,... A spate of recent crashes involving Tesla and Uber are taking a toll on public confidence in self-driving cars. Two studies released this week, one by AAA and the other by Cargurus.com, The AAA survey was conducted in April, shortly after a self-driving Uber vehicle struck and killed Elaine Herzberg in Tempe, Ariz., and after a fatal accident involving a Tesla Model X operating in Autopilot mode in Mountain View, Calif.


73% say they wouldn't trust a self-driving car

Daily Mail

Consumer trust in self-driving cars has tumbled according to a new survey that found 73 per cent of people would be too afraid to ride in an autonomous vehicle. The US survey found faith in the technology had plummeted by ten per cent from the end of 2017 as a result of two high-profile deaths in March. Research suggests that in the long-term self-driving cars are set to drastically reduce deaths by eliminating human error but it seems consumers are yet to be convinced. The issue of AI in self-driving cars flared up following the death of a women hit but a self-driving Uber and a man killed while using his Tesla Model X's autopilot feature in March this year. A survey by the American Automobile Association looked at 1,014 people and was conducted between 5 to 8 April, just weeks after the two highly-publicised deaths.


AI in Insurance – Addressing the Industry's Key Challenges

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Nonetheless, things are definitely changing, and artificial intelligence in insurance is playing a key role in disrupting the entire industry and improving the insurance customer experience by leaps and bounds. According to PwC's 20th CEO survey conducted in 39 countries, the greatest concerns that loom over the 95 CEOs of the insurance sector today are the subdued premium rate, mild interest rates, shifting consumer behavior, slow economic growth, need for regulations and technological innovations and blazing market competition. Let's delve into the idea of introducing artificial intelligence in insurance, and how it impacts the current legacy processes. This shows how the insurance industry is struggling to comprehend and leverage digital advancements. The survey also illuminated some of the key challenges as faced by these insurance leaders.


How Should Your Company Prepare For Robot Coworkers?

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A December 2017 survey by insurance and risk management advisory firm Willis Towers Watson in Arlington, Virginia, found that U.S. companies will nearly double the amount of work done by automation (to 17%) within the next three years. Ninety-four percent of companies that are already using robotics and AI will expand their use of automation by 2020. Related: What Will It Be Like To Have Robot Coworkers? But are companies ready for those changes? Maybe not, the survey found.


HK banking customers say yes to AI and automation but...

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Hong Kong bank customers are willing to embrace new digital banking services based on AI and machine learning, according to a new survey by Unisys. The survey found that 60% of Hong Kong respondents are comfortable with a bank using software and algorithms to assess online credit card applications, but only 31% are comfortable with their use for home loans. "The Unisys Banking Insights findings suggest there is a great opportunity for Hong Kong banks to use smart software to lead decision making for commodity products such as credit cards," Unisys Asia-Pacific VP for financial services Richard Parker said. But currently consumers are less willing to use this for life events such as home loan applications which involve larger financial amounts and emotional involvement." Hong Kong consumers are also moderately willing to support data sharing in an open banking environment, but only if they can be assured that privacy and security concerns are met.


Finding a Starting Point for Artificial Intelligence - Direct2DellEMC

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It's been a busy week for the Dell EMC Ready Solutions team here at Dell Technologies World! As you've seen, there's lots of news to discuss, from the update to our VDI Complete program to the work we're doing to advance artificial intelligence (AI) and machine learning. In fact, it's the latter topic that I want to focus on today. In my discussions with customers this week, I hear a common theme: our enterprise customers know they want to take advantage of these new technologies, but they don't know where to start. In a recent survey conducted by IT Pro Today and sponsored by Dell EMC, almost one-third of respondents said that their organization was either testing or considering a machine learning solution, which means that the vast majority have not yet figured out where and how to start.


This Is How To Stand Out When Recruiters Come to Your College

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Recruiters from top companies say catching their attention requires prepping for and conducting your interview in a smart and savvy way. And while some of the advice might seem basic, most of them said they are surprised how many students don't do much to differentiate themselves. Here, they share their insights to help you stand out in a good way. "Do your homework," is standard advice when preparing for a recruiter meeting or interview. But, when you meet with one of the team members at Intel, it helps to go beyond the basics, says Barbara Fisher, vice president and chief human resources officer of Intel Talent Management.


How is Artificial Intelligence in Insurance addressing the industry's key challenges? - Maruti Techlabs

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The insurance industry, after the trade market, is another sector where it is hard to predict the next big paradigm shift. Given the tentative stability and natural catastrophes, insurance companies often stand on a trembling ground and confront massive challenges, even when it comes to adopting seamless and intuitive digital solutions such as Artificial Intelligence in Insurance. According to PwC's 20th CEO survey conducted in 39 countries, the greatest concerns that loom over the 95 CEOs of the insurance sector today are the subdued premium rate, mild interest rates, shifting consumer behavior, slow economic growth, need for regulations and technological innovations and blazing market competition. Let's delve into the idea of introducing artificial intelligence in insurance, and how it impacts the current legacy processes. This shows how the insurance industry is struggling to comprehend and leverage digital advancements.


Will a lack of artificial intelligence lead to customer loss?

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Two-thirds (66%) of senior IT decision-makers believe failure to adopt artificial intelligence (AI) will lead to a loss of competitiveness, research by global reviews and customer insights company Feefo has found. According to the report, 96% also felt that AI will have a positive effect on customer-engagement in their organisation, while 45% believed that personalisation is where the biggest gains will be made in improving customer experience. See also: AI: the next level of smart customer service? The findings were revealed in a survey of 100 senior IT decision-makers in the UK, covering their attitudes towards AI and its adoption in their respective organisations. As a result of these beliefs, 61% of respondents said they are using, or will use AI for customer-service analysis and intervention.