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Five Rules for Fixing AI in Business

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I've never been a gambler. Outcomes are determined more on luck than skill and that just makes me queasy. Sometimes, I feel like companies view #AI the same way, like they are hedging their bets and maybe even expecting defeat. Today I want you to weigh in. Why do you think that, according to a study by @BCG (Boston Consulting Group), only one in 10 companies have found success with AI? Seems like we should have better odds than that.


Focus group seeks to guide quality of AI adoption - RAD Magazine

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AXREM is the UK trade association representing the interests of suppliers of diagnostic medical imaging, radiotherapy, healthcare IT and care equipment in the UK. The group has formed the AXREM AI SFG (special focus group) to promote the adoption of beneficial AI technology and to identify and seek to overcome hurdles to adoption encountered by suppliers. Most recent AI solutions are based on a process of deep learning in which an artificial neural network is presented with annotated examples of a particular kind of pathology and gradually learns to recognise what that pathology looks like. This process is data dependent, and so the work of data scientists and curators is as important as the AI scientists and software engineers who develop the actual algorithms. A key part of developing safe and reliable AI solutions is the use of a representative dataset while performing the AI training.


U.S. women more concerned than men about some AI developments, especially driverless cars

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Women in the United States are more skeptical than men about some uses of artificial intelligence (AI), particularly the possible widespread use of driverless passenger vehicles, according to a new analysis of Pew Research Center survey data collected in November 2021. The analysis also finds gender differences in views about the overall impact that technology has on society and some safety issues tied to AI applications, as well as the importance of including different groups in the AI design process. Pew Research Center conducted this study to understand gender differences in Americans' views about artificial intelligence and human enhancement technologies. For this analysis, we surveyed 10,260 U.S. adults from Nov. 1-7, 2021. Everyone who took part in the survey is a member of the Center's American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses.


LaborIA: Matrice launches a survey on the impact of artificial intelligence on work this September - Actu IA

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Launched last November 19, the 5-year LaborIA program, financed by the Ministry of Labor, Employment and Integration and operated by Matrice, an institute for technological and social innovation, has been joined by Inria. Its mission is to " better understand artificial intelligence and its effects on work, employment, skills and social dialogue in order to change business practices and public action . In September, Matrice will begin a survey to better measure the impact of AI in 250 companies as well as field investigations. LaborIA is part of the PMIA initiative, which aims to bridge the gap between AI theory and practice by supporting cutting-edge research and applied activities on AI-related priorities. One of the working groups of this initiative is dedicated to the "Future of Work" theme, it is affiliated with the PMIA Expertise Center in Paris and hosted by INRIA and conducts, among other things, analyses on how AI affects and will affect workers and their environment. According to the OECD, 32% of jobs will be impacted by automation over the next twenty years. "The transformations that our society is undergoing, such as the digital and ecological transitions, have an impact that can be observed concretely in our daily lives.


Are consumers ready for drone delivery?

ZDNet

With news that Amazon has officially entered the drone delivery game, it might feel like adoption is inevitable. But what do consumers think of that possibility? A new survey polling more than 1,000 consumers across the U.S. sought to answer exactly that question, as well as to extract consumer sentiment about the coming of drone delivery and a new phase of ultra-fast end-to-end service. Consumers tend to be drone curious and generally in favor of the technology, although as with seemingly everything in the country, there's no consensus. The survey found that a majority of Americans (58%) favor the idea of drone deliveries and even more (64%) think drones are becoming an option for home delivery now or will be in the near future, suggesting a small gap between those who believe the trend is inevitable and those who think it's a good idea.


Internet Financial Risk Management in the Context of Big Data and Artificial Intelligence

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In recent years, the emergence of big data and artificial intelligence technology has made Internet finance a brand new development model in the new era. As an emerging financial format, Internet finance plays an important role in providing people with convenient and efficient services. However, due to the late start in this regard and the imperfect related policies and regulations, China is currently still in the development stage, resulting in its risk management system not being mature and complete and lacking uniformity. There are also many regulatory deficiencies, which are not conducive to the healthy, stable, and continuous growth and progress of Internet finance. In the new situation, it is of great significance to strengthen the research on the security of China's Internet finance. Therefore, how to effectively manage Internet financial risks in the context of big data and artificial intelligence has become a topic of research. This study uses questionnaire analysis and data analysis to understand the distribution of risks and the importance of risk response measures through questionnaire surveys. According to the survey results, in the eyes of most interviewees, the ratios of operational risk, credit risk, platform operation risk, and lack of law and reputation risk in high-risk areas are 0.15, 0.3, 0.29, 0.51, and 0.1, respectively. The risks of these first-level indicators need to be particularly important and need to be effectively avoided to manage Internet financial risks. In addition, the most important risk response measures are the construction of information security, followed by the improvement of relevant laws and regulations. In their view, only from these aspects can we effectively control risks internally and externally.


Digital presenteeism is creating a future of work that nobody wants

ZDNet

The adoption of remote working has brought greater flexibility to knowledge workers – but old habits from the office could lead to a future of work that few of us want. According to a report by software companies Qatalog and GitLab, inequalities in workplace hierarchies and an abundance of remote-working tools are creating a "pervasive culture of digital presenteeism" that is damaging productivity and leading staff to work longer hours. A survey of 2,000 knowledge workers found that 54% feel pressured to appear online and visible while working remotely. With work no longer taking place entirely in the office, employees are taking additional steps to ensure their work gets recognized, the survey found, which often means arbitrarily responding to emails and messages, attending additional meetings and adding comments and responses to shared work documents. In the office, hybrid or remote, here's what is changing about where, when and how you do your job.


Artificial intelligence in medical education curriculum: An e-Delphi study for competencies - PubMed

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Round 1 in the Delphi survey began with exploratory open-ended questions. Responses received in the first round evaluated and refined to a 27-item questionnaire which then sent to the experts to be rated using a 7-point Likert type scale (1: Strongly Disagree-7: Strongly Agree). Similar to the second round, the participants repeated their assessments in the third round by using the second-round analysis. The agreement level and strength of the consensus was decided based on third phase results. Median scores was used to calculate the agreement level and the interquartile range (IQR) was used for determining the strength of the consensus. Results: Among 128 invitees, a total of 94 agreed to become members of the expert panel.


Upgrading AI proving tougher for insurers, research finds

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Businesses and corporations are increasingly interested in applying artificial intelligence (AI) to their operations, but see themselves falling behind in implementing AI, according to a research survey report from Talkdesk with relevance for insurtech. Insurance has a "heightened challenge of being able to get organizational life and culture driving towards the adoption and embracing of AI," said Antonio Gonzalez, senior manager, industries and AI research at Talkdesk. Talkdesk surveyed 500 customer experience professionals from the U.S., Canada, France, Germany and the U.K., with about 7% of respondents from the financial services sector including insurance. However, according to Talkdesk, respondents still report a lack of AI professionals who can build, train and maintain AI solutions. Particularly in insurance, there is more personnel turnover, according to Ilya Filipov, director of financial services industry strategy, Talkdesk.


Enterprise Artificial Intelligence is Hard. 3 Guidelines Fuel Success

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AI is becoming increasingly ubiquitous -- from enterprises to the edge. It's a movement accelerated by the pandemic, which sped up many companies' planning and implementation of AI projects. Some 86% of respondents surveyed by consulting firm PwC reported that AI is becoming a mainstream technology at their companies. Companies had to adapt quickly to a whole new business landscape, faster than ever. Yet, while AI is making rapid inroads as a tool to solve complex business challenges, many enterprises still struggle with the move from testing to deployment.