Purpose: The study aims to analyze the synergy of Artificial Intelligence (AI), with scientometrics, webometrics, and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields. Design/methodology/approach: By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends, and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science, and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles. Findings: (i) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis, and knowledge mapping, in a more objective and reliable framework. (ii) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis, and recommender systems. (iii) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining, and recommender systems are considered as the potential of AI integration in the field of bibliometrics. Originality/value: This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics, and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

As we move into the future of clinical trials, artificial intelligence (AI) is playing a more integral role than ever. AI enables more accurate analyses of data points, faster results that can provide improved accuracy compared to older methods, and technology-driven improvements in identifying patterns within large datasets. In this 7-part series, we will explore how AI is revolutionizing the world of clinical research, from virtual trial design to patient recruitment and safety monitoring during trials through to post-marketing assessments for drug development teams. Alongside this information-rich series of blog posts – readers will gain all the necessary knowledge about AI's impact on clinical trials that they need to be informed decision makers. Clinical trials are an essential part of medical research, providing valuable data about the safety and efficacy of new treatments.

This paper discusses creating and analysing a new dataset for data mining and text analytics research, contributing to a joint Leeds University research project for the Corpus of National Dialects. This report investigates machine learning classifiers to classify samples of French dialect text across various French-speaking countries. Following the steps of the CRISP-DM methodology, this report explores the data collection process, data quality issues and data conversion for text analysis. Finally, after applying suitable data mining techniques, the evaluation methods, best overall features and classifiers and conclusions are discussed.

Using NLG, computer vision and AI for branding enables your business to establish, maintain and continuously improve your brand communication and identity over the long term. There are certain taglines you never forget--I'm Lovin' It, Vorsprung Durch Technik, Think Different, The Best A Man Can Get. Each of these has been engineered specifically to play in your head like the irresistible hook of a chart-topping tune. Taglines are key components of an organization's identity--which is essentially how their audience views them as a brand. Your organization's identity is heavily shaped by the choice, tone and timing of the words used in your interactions with your audience.

New York, 8 October 2021 (TDI): UN News shared a newly launched UN initiative by the International Telecommunication Union. This new artificial intelligence (AI) technology will help in declining road deaths by refining the data collection and analysis, improving the road infrastructure, and developing the effectiveness of the post-crash response. The UN Sustainable Development Goals (SDGs) contain emergency action to split the rate of road accidents and deaths annually all over the world and guarantee access to harmless, affordable, and sustainable transport by 2030. However, faster progress on this AI technology is important to make this happen, particularly in developing states, where the majority of deaths happen on the roads every year, according to the newly launched initiative. This new AI technology can help in various ways such as; data collection and analysis, enhancing road infrastructure, inspiring improvement in the regulatory frameworks, and developing the effectiveness of the post-crash response.

The word on the street is that artificial intelligence efforts have not been delivering the impressive results everyone has been hoping for. The payoff, however, is likely to be found in well-targeted placements in which AI is handling, in real-time, complicated tasks that would take humans days or weeks to unravel. Managing the flow of telecom traffic is one example, or keeping IT networks up and running is another. Still another, with enormous tangible business value, is the ability to keep supply chains flowing. To that end, for example, Scale AI-- a Canadian consortium of companies, universities, and research centers -- announced $29 million in new investments in AI projects, much of which is aimed at building more intelligence into supply chains.

In this special guest feature, Stewart Dunlop, a content manager working with LegalZoom, highlights the fact that artificial intelligence has been predicted to be of value to many different industries, and perhaps one of the most feasible applications will be within legal services. This is due to several factors, which will be explained further in the article, but perhaps the most important is the fact that one of AI's biggest strengths is data collection and analysis. Stewart is a full-time content writer and part-time footballer and reader. Artificial intelligence has been predicted to be of value to many different industries, and perhaps one of the most feasible applications will be within legal services. This is due to several factors, which we will explain further in the article, but perhaps the most important is the fact that one of AI's biggest strengths is data collection and analysis.

The gambling industry has adapted to the emerging trends of the consumer world, therefore it's no surprise that a trend as groundbreaking as artificial intelligence (AI) has impacted the online gambling ecosystem, online platform developer and games aggregator SoftGamings explores the situation further. Gambling has evolved immensely since its formation, from games of chance being played in China, to present times, where we can enjoy Slots, Roulette, Baccarat, Fortune Wheel, Poker, Dice and many other games. It's undeniable that we make public a considerable amount of data on our everyday lives. The information about the websites we visit, advertisements we react to, purchases we make, updates we post on social networks and many more things inform marketers a great deal about our consuming potential. This is why data collection and analysis have become crucial for optimising marketing performance. It's something that's illustrated by the fact that the worth of the big data market was $35 bln in 2017, a figure that's expected to triple by 2027.

Jay Kiew is a management consultant and MBA 2018 from the Ivey Business School. One of the predominant workplace communication tools is Slack, whose userbase has grown to 70,000 paying organizations and eight million daily active users. Canada, we have a problem. Our companies are struggling to retain their employees. According to a 2017 study by LinkedIn, Canada has the fourth-highest employee-turnover rate globally at 16 per cent (compared with the global average turnover rate of 11 per cent).

Artificial intelligence is all the rage these days. There's broad consensus that AI is the next game-changing technology, poised to impact virtually every aspect of our lives in the coming years, from transportation to medical care to financial services. Gartner predicts that by 2020, AI will be pervasive in almost every new software product and service and the technology will be a top five investment priority for more than 30 percent of CIOs. An area where AI is already showing enormous value is wireless networking. The use of machine learning can transform WLANs into neural networks that simplify operations, expedite troubleshooting and provide unprecedented visibility into the user experience.