Artificial intelligence (AI) has captured the imagination of a wide variety of businesses. I have this image of CEOs in boardrooms around the globe declaring, "We must have AI! Our competitors use AI! We can't be left behind!" There might be some table-pounding associated with this scenario. There will certainly be corporate minions scurrying around to fulfill the AI dreams of their CEO.

Recent investments in contact center AI are reshaping the industry with better response times, issue resolution and enhanced customer service experiences.

Artificial Intelligence is everywhere and being discussed by everyone it seems. But, what is AI? By definition, it is a field of computer science that is focusing on creating intelligence systems; AI is making computers capable of performing tasks that require human intelligence. We have been using computers for decades, but the introduction of AI […]

Berlin-based x-cardiac GmbH is pleased to announce that Freiburg University Hospital has become the second pilot customer for its AI-based software "x-c-bleeding" for predicting severe bleeding complications after cardiac surgery. With the implementation of "x-c-bleeding", the University Hospital Freiburg takes another important step towards AI-based medicine.

Dubai is increasingly becoming a global center for artificial intelligence. To this end, the metropolis of the day after tomorrow on the Gulf has pledged to train one million people in AI prompting over the next three years. It is the first program of its kind in the world.

(EMAILWIRE.COM, November 01, 2024 ) Artificial Intelligence Chipset Market size was valued US$ 20.76 Bn in 2023 and the total revenue is expected to grow at 40% from 2024 to 2030, reaching US$ 218.85 Bn. by 2030. The AI chipset market is experiencing rapid growth, driven by increasing adoption...

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For the past several months I’ve been co-writing a book that was recently published by O’Reilly. Called Getting Started with Artificial Intelligence: A Practical Guide to Building Enterprise Applications, the book is currently offered by IBM as a free download. Written with Josh Zheng to introduce developers and technical managers to using artificial intelligence when […]

The post Getting Started with Artificial Intelligence: A Practical Guide to Building Applications in the Enterprise first appeared on Tom Markiewicz.

Imagine giving a chatbot the power to control and manage your computer. This exciting, but potentially dangerous idea is making people nervous.

Recent research has begun to reveal the extent of AI's impact on electronic waste and pollution, prompting concerns among scientists and environmentalists.

Paula MacDowell, Kristin Moskalyk, Katrina Korchinski, Dirk Morrison, Canadian Journal of Learning and Technology, Nov 13, 2024

This paper reports on a process where thirty-five teachers enrolled in an elective three-credit multimedia design course "engaged in experiential activities focussed on developing artificial intelligence (AI) literacy, alongside a collaborative assignment to co-author an open-access textbook, Teaching and Creating With Generative Artificial Intelligence." In the process, "the Student Artificial Intelligence Literacy (SAIL) framework was developed (illustrated)." The paper concludes with the usual recommendations ('do no harm', 'develop communication skills', etc.). Each participant wrote a chapter, though a common template was used. I very much like the idea of producing a useful open resource as part of class activities. Oddly, the article doesn't provide a link to the textbook, but I found it here. It's a nice selection of 'how-to' articles that readers, I think, will find useful. One chapter (chapter 20 1/2?) is missing.

Although artificial intelligence provides a new method to gather, process, analyse data, generate insights, and offer customised solutions, such methods could change how marketers deal with customers, and there is a lack of literature to portray the application of artificial intelligence in marketing. This study aims to recognise and portray the use of artificial intelligence from a marketing standpoint, as well as to provide a conceptual framework for the application of artificial intelligence in marketing. This study uses a systematic literature review analysis as a research method to achieve the aims. Data from 142 articles were extracted from the Scopus database using relevant search terms for artificial intelligence and marketing. The systematic review identified significant usage of artificial intelligence in conversational artificial intelligence, content creation, audience segmentation, predictive analytics, personalisation, paid ads, sales forecasting, dynamic pricing, and recommendation engines and the bibliometric analysis produced the trend in co-authorship, citation, bibliographic coupling, and co-citation analysis. Practitioners and academics may use this study to decide on the marketing area in which artificial intelligence can be invested and used.

Constrained programming is the concept used to select possible alternatives from an incredibly diverse range of candidates. This paper proposes an AI-assisted Backtracking Scheme (AI-BS) by integrating the generic backtracking algorithm with Artificial Intelligence (AI). The detailed study observes that the extreme dual ray associated with the infeasible linear program can be automatically extracted from minimum unfeasible sets. Constraints are used in artificial intelligence to list all possible values for a group of variables in a given universe. To put it another way, a solution is a way of assigning a value to each variable that these values satisfy all constraints. Furthermore, this helps the study reach a decreased search area for smart backtracking without paying high costs. The evaluation results exhibit that the IB-BC algorithm-based smart electricity schedule controller performs better electricity bill during the scheduled periods than comparison approaches such as binary backtracking and binary particle swarm optimiser.

In order to reduce the challenges encountered by learners and educators in engaging in educational activities, this paper classifies learners' roles in virtual learning communities, and explores the role of behaviour characteristics and their positions in collaborative knowledge construction networks in promoting the process of knowledge construction. This study begins with an analysis of the relationship structure among learners in the virtual learning community and then applies the FCM algorithm to arrange learners into various dimensional combinations and create distinct learning communities. The test results demonstrate that the FCM method performs consistently during the clustering process, with less performance oscillations, and good node aggregation, the ARI value of the model is up to 0.90. It is found that they play an important role in the social interaction of learners' virtual learning community, which plays a certain role in promoting the development of artificial intelligence.

Physiological indicators are an important basis for reflecting the physiological health status of the human body and play an important role in medical practice. Association rules have also been one of the important research hotspots in recent years. This study aims to create a data mining system of association rules and artificial intelligence in biochemical indicators of sports training. This article uses Markov logic for network creation and system training, and tests whether the Markov logic network can be associated with the training system. The results show that the accuracy and recall rate obtained are about 90%, which shows that it is feasible to establish biochemical indicators of sports training based on Markov logic network, and the system has universal, guiding and constructive significance, ensuring that the construction of training system indicators will not go in the wrong direction.

With the rapid development of Artificial Intelligence (AI) technology, significant breakthroughs have been made in its application in many fields. Especially, in the field of enterprise human resource management and employee performance evaluation, AI has demonstrated its powerful ability to optimise and improve performance. This study explores the application of AI in enterprise human resource management and how to use AI to evaluate employee performance. The research includes analysing and comparing existing AI-driven human resource management models, evaluating how AI can help improve employee performance and leadership styles, and designing and developing human resource management computer systems for enterprise employees. Through empirical research and case analysis, this study proposes a new AI-optimised employee performance evaluation model and explores its application and effect in practice. In general, the application of AI can improve the efficiency and accuracy of enterprise human resource management, and provide new possibilities for employee performance evaluation. At present, artificial intelligence technology has been widely used in various fields of daily life, especially in corporate human resource management, providing better support for the development of enterprises.

The major technological developments have changed the traditional way of doing business. These developments have facilitated whistle-blowing. Access to data is easier and faster and communicating with the public can be done in seconds. Another development is the artificial intelligence (AI) which enters the business workplace in different forms challenging the traditional working relations. The combination of these concepts gives the idea of artificial whistle-blowing or robot whistle-blowing. The concept is that a machine should conceive and report relevant wrongdoing avoiding the traditional model of whistle-blowing where the employee is the person who should report. This concept, yet unexplored, presents interesting positive and negative aspects. The purpose of this contribution is to present the idea of artificial whistle-blowing and its advantages and disadvantages for the business sector. As a conclusion, this paper suggests that the concept of artificial whistle-blowing needs still to be researched and an optimal solution, for the time being, is to permit artificial whistle-blowing as a helping tool for the employees to detect wrongdoings but report them themselves.

Aim/Purpose: This paper examines the transformative impact of Artificial Intelligence (AI) on professional skills in organizations and explores strategies to address the resulting challenges. Background: The rapid integration of AI across various sectors is automating tasks and reducing cognitive workload, leading to increased productivity but also raising concerns about job displacement. Successfully adapting to this transformation requires organizations to implement new working models and develop strategies for upskilling and reskilling their workforce. Methodology: This review analyzes recent research and practice on AI's impact on human skills in organizations. We identify key trends in how AI is reshaping professional competencies and highlight the crucial role of transversal skills in this evolving landscape. The paper also discusses effective strategies to support organizations and guide workers through upskilling and reskilling processes. Contribution: The paper contributes to the existing body of knowledge by examining recent trends in AI's impact on professional skills and workplaces. It emphasizes the importance of transversal skills and identifies strategies to support organizations and workers in meeting upskilling and reskilling challenges. Our findings suggest that investing in workforce development is crucial for ensuring that the benefits of AI are equitably distributed among all stakeholders. Findings: Our findings indicate that organizations must employ a proactive approach to navigate the AI-driven transformation of the workplace. This approach involves mapping the transversal skills needed to address current skill gaps, helping workers identify and develop skills required for effective AI adoption, and implementing processes to support workers through targeted training and development opportunities. These strategies are essential for ensuring that workers' attitudes and mental models towards AI are adaptable and prepared for the changing labor market. Recommendation for Researchers: We emphasize the need for researchers to adopt a transdisciplinary approach when studying AI's impact on the workplace. Given AI's complexity and its far-reaching implications across various fields including computer science, mathematics, engineering, and behavioral and social sciences, integrating diverse perspectives is crucial for a holistic understanding of AI's applications and consequences. Future Research: Looking ahead, further research is needed to deepen our understanding of AI's impact on human skills, particularly the role of soft skills in AI adoption within organizations. Future studies should also address the challenges posed by Industry 5.0, which is expected to bring about even more extensive integration of new technologies and automation.

Carlo Lipizzi’s Societal impacts of artificial intelligence and machine learning offers a critical and comprehensive analysis of artificial intelligence (AI) and machine learning’s effects on society. This book provides a balanced perspective, cutting through the

The study shows that artificial intelligence (AI) has become highly important in contemporary computing because of its capacity to efficiently tackle intricate jobs that were typically carried out by people. The authors provide scientific literature that analyzes and

The Faculty of Geo-Information Science and Earth Observation (ITC) at the University of Twente has recently launched an investment programme to strengthen its international academic fields. For 11 pioneering-multidisciplinairy projects a PhD-position is made available, three of them already are filled in. The Department of Natural Resources (NRS) specialises in advanced spatial and temporal analysis and technique development for the environment as well as sustainable agriculture.

Job Description: 

For more information visit the official job offer.

“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” said the Nobel committee.

The post Pioneers in artificial intelligence win the Nobel Prize in physics appeared first on Boston.com.

As companies seek to enhance precision, increase efficiency and reduce costs, AI-driven computer numerical control (CNC) machining is emerging as a game-changing innovation.

Abstract Social work, as a human rights–based profession, is globally recognized as a profession committed to enhancing human well-being and helping meet the basic needs of all people, with a particular focus on those who are marginalized vulnerable, oppressed, or living in poverty. Artificial intelligence (AI), a sub-discipline of computer science, focuses on developing computers […]

The post Considering a Unified Model of Artificial Intelligence Enhanced Social Work: A Systematic Review was curated by information for practice.

The post CfP: Artificial Intelligence in Health Economics and Outcomes Research was curated by information for practice.

Today the national science academies of the G-7 countries issued three joint statements to their respective governments, to inform discussions during the G-7 summit to be held in August in France, as well as to inform ongoing policymaking.

Much digital ink has been spilled on artificial intelligence taking over jobs, but what about AI shaking up the hiring process in the meantime?

A government official said that during the deliberations one of the leaders wondered if AI "replaced or enhanced human skills" and suggested that it should be used in an ethical manner.

Festo to introduce AI-based software for machine uptime, soft-robotic grippers, and economical electric motion at IBIE 2022.

The new tool captures and saves digital images of critical foreign material contaminants that the sorter detects and rejects from the product stream.

Businesses can achieve maximum success during the holiday season by utilizing AI and automation in their retail shipping operations. The holiday season is critical for companies, but the increased sales often come with shipping headaches. Luckily, artificial intelligence (AI) and automation provide key solutions for simplifying shipping for businesses and customers.

From offering consumer insights, enhancing product development to supply chain optimization, experts weigh in on how AI solutions are transforming the beverage industry. 

Rama Naga NV "Venky" Susarla is praised as a senior director and principal architect at Ness Digital Engineering

Ravi Tandon has found success as an Associate Director at HCLTech

Pär Edin is a seasoned strategy and artificial intelligence leader at KPMG LLP

Dan Simion excels in artificial intelligence (AI) in his leading role at Alvarez & Marshal Holdings LLC

Nina Mushiana is a seasoned Engineering Management expert with 20+ years in site reliability, information security, and service management

Phillip Ha is an expert in 3D technology and the founder of Robot Wonderland

Roberto Pieraccini channels years of expertise into driving the industrial application of AI

To meet growing demand, New York Medical Group (NYMG) is shifting towards using data to provide predictive and proactive care to patients.

Prateek Agarwal serves as a technical lead at Tata Consultancy Services Ltd

David Lawrence Turock is noted for his many innovations in the fields of information processing technology and artificial intelligence, and for numerous philanthropic endeavors

Seminar on Tuesday April 11, 2023 at 10 am PST " AI Moratorium, Yes or No, the Hidden Agenda "

Robert Daly serves as a database solutions architect at Amazon Web Services.

The landscape of dating is undergoing a significant transformation as artificial intelligence continues to evolve, offering new possibilities for connection and companionship.

AI-based Crypto Fund Boosts AI Token Usage

Manas Talukdar is a leading industry expert in artificial intelligence and data infrastructure, currently director of engineering at Labelbox Inc.

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