productivity and efficiency
Gen Z faces 'job-pocalypse' as global firms prioritise AI over new hires, report says
The race to adopt AI is putting entry-level roles among those at risk. The race to adopt AI is putting entry-level roles among those at risk. Gen Z faces'job-pocalypse' as global firms prioritise AI over new hires, report says Young people entering the workforce are facing a "job-pocalypse", as business leaders invest in artificial intelligence (AI) rather than new hires, according to a study of global business leaders. Bosses are prioritising automation through AI to plug skills gaps and allow them to reduce headcount, instead of training up junior members of staff, a report by the British Standards Institution (BSI) found. Four in 10 (41%) of bosses said AI was allowing them to cut the number of employees in a survey of more than 850 business leaders across seven countries: the UK, US, France, Germany, Australia, China and Japan.
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Generative Knowledge Production Pipeline Driven by Academic Influencers
Feher, Katalin, Demeter, Marton
ABSTRACT Generative AI transforms knowledge production, validation, and dissemination, raising academic integrity and credibility concerns. This study examines 53 academic influencer videos that reached 5.3 million viewers to identify an emerging, structured, implementation-ready pipeline balancing originality, ethical compliance, and human-AI collaboration despite the disruptive impacts. Findings highlight generative AI's potential to automate publication workflows and democratize participation in knowledge production while challenging traditional scientific norms. Academic influencers emerge as key intermediaries in this paradigm shift, connecting bottom-up practices with institutional policies to improve adaptability. Accordingly, the study proposes a generative publication production pipeline and a policy framework for co-intelligence adaptation and reinforcing credibility-centered standards in AI-powered research. These insights support scholars, educators, and policymakers in understanding AI's transformative impact by advocating responsible and innovation-driven knowledge production. Additionally, they reveal pathways for automating best practices, optimizing scholarly workflows, and fostering creativity in academic research and publication. Keywords: generative AI, ChatPGT, academic integrity, influencers, knowledge production, social media, policy implications, academic policy 1. INTRODUCTION The advent of generative AI (GenAI) transforms knowledge production, increasingly supporting and partially automating the academic workflow (Bolanos et al. 2024). This trend suggests a paradigm shift where researchers utilize effectively and productively generative AI tools, potentially leading to more automated scientific workflows. However, we have also identified a human component in this process: the impact of the academic influencers via social media promoting hands-on knowledge about GenAI in academic projects.
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How to Enhance UX/UI with Artificial Intelligence and Machine Learning
Artificial Intelligence is widely used in various industries to automate routine tasks and increase the productivity and efficiency of business strategies. One more area where AI is becoming extremely useful is user experience and user interface (UX/UI) design. While AI can save designers time and perform routine tasks, such as image cropping, designers can focus on more complex tasks that require a high level of creativity. However, this is not the only advantage of Artificial Intelligence. ML models get "smarter" and can drive better UI/UX design.
11 Ways AI Will Impact Our Work and Lives in the Future
Nowadays, people are talking about Artificial Intelligence (AI) as if it's taking over our world. Tech employers rank AI technology as one of the most in-demand skills in the industry. AI may inspire fears of robots preempting humans, as depicted in many sci-fi movies. While it's near to impossible to predict how AI will evolve in the long run, current tech trends paint a picture of how Artificial Intelligence will impact our lives and workplaces. Of course, AI is already here.
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5 Trends to Watch in 2021: Emerging Technologies
Digital Health – The convergence of digital and health care technologies has been accelerated due to the COVID-19 pandemic. With social distancing mandates, there has been an increased focus on telemedicine and mobile health, surgical robotics, smart devices, and health analytics. As a result, there is a rise in digital health innovations coming to market that will also need to comply with the evolving regulatory landscape while protecting patient data. Such technologies in the digital health industry will continue to develop to bring efficient and personalized treatments to a wider population, in some cases testing the limits of increasingly comprehensive U.S. and global privacy regulations. Agribusiness – Advancements in software and connected hardware technologies continue to have an impact on the agriculture industry.
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Global Big Data Conference
Every department in a company has its own challenges. In the case of Human Resources, recruitment and onboarding processes, employee orientations, process paperwork, and background checks is a handful and many a time painstaking – mostly because of the repetitive and manual nature of the work. The most challenging of all is engaging with employees on human grounds to understand their needs. As leaders today are observing the AI revolution across every process, Human resources is no exception: there has been a visible wave of AI disruption across HR functions. According to an IBM's survey from 2017, among 6000 executives, 66% of CEO's believe that cognitive computing can drive compelling value in HR while half of the HR personnel believe this may affect roles in the HR organization.
AI In Human Resources – To AI or not to AI?
Every department in a company has its own challenges. In the case of Human Resources, recruitment and onboarding processes, employee orientations, process paperwork, and background checks is a handful and many a time painstaking – mostly because of the repetitive and manual nature of the work. The most challenging of all is engaging with employees on human grounds to understand their needs. As leaders today are observing the AI revolution across every process, Human resources is no exception: there has been a visible wave of AI disruption across HR functions. According to an IBM's survey from 2017, among 6000 executives, 66% of CEO's believe that cognitive computing can drive compelling value in HR while half of the HR personnel believe this may affect roles in the HR organization.
AI, Robotics and the High-Tech Farm of the Future
With increasing mouths to feed and environmental changes, there is a need for a revolution in the farming industry. AI offers data-driven solutions to boost productivity and efficiency. In farming, AI is usually short for "artificial insemination." But a different kind of AI, artificial intelligence, is showing great promise in solving some of agriculture's most significant challenges, from the need to increase productivity and profits to overcoming labor shortages to protecting the environment. Of all the industries AI is transforming, it's safe to say none have a greater human impact than farming.
Turbocharge productivity and efficiency with AI - IBM Watson
Artificial intelligence (AI) is rapidly moving from "nice to have" into "must have" territory for organizations. In fact, nearly six in ten AI early adopters think it will be a necessary element to remain competitive within the next few years. Two-thirds say AI is very important to their organization's strategy and success. AI can be a powerful tool for getting people the right information at the right time for decision making. By augmenting human intelligence and improving planning, AI has the potential to transform workplace productivity.
Farming (r)evolution
This article was originally published on IEC e-Tech. Click here to view the original post. Many advances in electric self‑driving car technology and robotics are transferring across to industrial and commercial vehicles, which account for some 60% of the value of the overall electric vehicle market. In agriculture, the widening use over the next decade of autonomous hybrid or fully electric tractors, robotic machinery and drones could increase farm efficiency and revolutionize how food is produced. Although some of the technology in farming robots is similar to that of autonomous vehicles, it differs in that operations such as planting seeds, picking vegetables or fruits and localized application of pesticides have individual sensing, manipulation and processing requirements.
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