At Your Best! Artificial Intelligence, People and Business Analytics, Highly Realistic Avatars, Innovative Learning and Development

2021 ◽  
pp. 280-289
Author(s):  
Fernando Salvetti ◽  
Barbara Bertagni ◽  
Filippo Negri ◽  
Matteo Bersanelli ◽  
Rosalinda Usai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Business Analytics ◽  
Learning And Development ◽  
Innovative Learning

scholarly journals The next step for Artificial Intelligence in a globally connected economy

2021 ◽  
Vol 129 ◽  
pp. 04001
Author(s):  
Dumitru Alexandru Bodislav ◽  
Florina Bran ◽  
Carol Cristina Gombos ◽  
Amza Mair
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Factor ◽  
Value Added ◽  
Point Of View ◽  
Business Analytics ◽  
Economic Point ◽  
Technological Breakthrough ◽  
Big Picture ◽  
The Difference

Research background: This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective. Purpose of the article: The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view. Methods: The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development. Findings & Value added: The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.

The Nature of Intelligent Analytics

2021 ◽  
pp. 1-21
Author(s):  
Zhaohao Sun ◽  
Andrew Stranieri
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Research And Development ◽  
Business Intelligence ◽  
Data Analytics ◽  
Data Science ◽  
Big Data Analytics ◽  
Business Analytics ◽  
Novel Approach ◽  
Advanced Analytics

Intelligent analytics is an emerging paradigm in the age of big data, analytics, and artificial intelligence (AI). This chapter explores the nature of intelligent analytics. More specifically, this chapter identifies the foundations, cores, and applications of intelligent big data analytics based on the investigation into the state-of-the-art scholars' publications and market analysis of advanced analytics. Then it presents a workflow-based approach to big data analytics and technological foundations for intelligent big data analytics through examining intelligent big data analytics as an integration of AI and big data analytics. The chapter also presents a novel approach to extend intelligent big data analytics to intelligent analytics. The proposed approach in this chapter might facilitate research and development of intelligent analytics, big data analytics, business analytics, business intelligence, AI, and data science.

The role of curiosity in workplace automation

2019 ◽  
Vol 34 (6) ◽  
pp. 29-32
Author(s):  
Alison Horstmeyer
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Skills ◽  
Cost Effective ◽  
Technological Advancement ◽  
Learning And Development ◽  
Content Type ◽  
Effective Strategies ◽  
Skill Gaps ◽  
Development Professionals ◽  
Learning Professionals

Purpose This paper describes the ways automation and artificial intelligence are shifting the business landscape and how learning professionals can use curiosity to enhance their own and their organizations' success. Design/methodology/approach A review of theory and research on automation and artificial intelligence, curiosity, and learning and development challenges was conducted. Findings Although technological advancements are already transforming the workplace, the optimal benefits of these technologies will be realized only in collaboration with human capital. In particular, as certain manual and technical skills are replaced by automation, the jobs that remain will require more highly developed social and cognitive skills such as creative problem solving, interpersonal skills and empathy, and adaptability and continuous learning. Practical implications Learning professionals are encouraged to use strategies that leverage the power of curiosity to cultivate the soft skills critical for success in technologically advanced workplaces. Originality/value Technological advancement creates an ever-changing organizational and learning landscape for employees and development professionals. Cost-effective strategies are needed to close the growing skill gaps that result. Curiosity is a helpful tool for growing needed competencies.

scholarly journals EXPLORING THE POTENTIALS OF ARTIFICIAL INTELLGIENCE IN THE JUDICIARY

2020 ◽  
Vol 5 (8) ◽  
Author(s):  
Oloruntoba Samson Abiodun ◽  
Akinode John Lekan
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Deep Neural Networks ◽  
Legal Service ◽  
Business Analytics ◽  
Ethical Challenges ◽  
Related Case ◽  
Legal Professionals ◽  
And Robotics ◽  
Applications Of Ai

In recent years, there has been massive progress in Artificial Intelligence (AI) with the development of machine learning, deep neural networks, natural language processing, computer vision and robotics. These techniques are now actively being applied in the judiciary with many of the legal service activities currently being delivered by lawyers predicted to be taken over by AI in the coming years. This paper explores the potentials and efficiency of Artificial intelligence (AI) in justice delivery. The paper has two objectives: first to highlight the main applications of AI in justice administrations through some examples of AI tools recently developed; second, to assess the ethical challenges of AI in the judiciary. Artificial Intelligence algorithms are starting to support lawyers, for instance, through artificial intelligence search tools, or to support justice administrations with predictive technologies and business analytics based on the computation of Big Data. Using the concept of Artificial Intelligence (AI), Legal knowledgebased tools may accelerate the service delivery of legal professionals from typical searching of related case journals to extraction of precise information in a customized manner.

scholarly journals Innovative Teaching Techniques for Entrepreneurship Education in the Era of Digitalisation

2020 ◽  
Vol 16 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Entrepreneurship Education ◽  
Young Generation ◽  
Innovative Teaching ◽  
Europe 2020 ◽  
Europe 2020 Strategy ◽  
Wide Range ◽  
Innovative Learning ◽  
Automated Software

Nowadays, in the digital age, automated software with machine learning and artificial intelligence is widely used in both business and everyday life, therefore it has to be used in education and achieving of its sustainability. The young generation makes extensive use of a wide range of software, so teaching with an auto-mated tool would be very attractive for students, but there is a need to increase teachers' digital skills and com-petencies. When studying entrepreneurship, students prefer innovative, practical teaching methods, involving automatic tools for validation of business idea feasibility.The aim of the study is to identify multidisciplinary and innovative educational approaches and techniques in entrepreneurship, containing training that uses automated software to test and improve the viability of students' business ideas.The authors followed the objectives of the Europe 2020 Strategy and the Entrepreneurship 2020 Action Plan. Digitalization creates and will create more and more possibilities in future to use automatic digital tools in edu-cation and solutions in form of artificial intelligence that might be scalable and widely applied for the distance learning as evidenced by the crisis caused by COVID-19.The research is based on existing researches and comparative analysis of teaching entrepreneurship, statistical data analysis and survey conducted by authors. Discussion on and identification of innovative learning and teach-ing techniques in entrepreneurship education is also included.

Impact of Innovation Technology in Enhancing Organizational Management

2021 ◽  
Vol 38 (4) ◽  
Author(s):  
Mosleh Zeebaree ◽  
Goran Yousif Ismael ◽  
Omar A. Nakshabandi ◽  
Saman Sattar Saleh ◽  
Musbah Aqel
Keyword(s):  
Artificial Intelligence ◽  
Organizational Performance ◽  
Organizational Development ◽  
Organizational Innovation ◽  
Positive Impact ◽  
Organizational Management ◽  
Business Analytics ◽  
Human Machine Interaction ◽  
Management Procedure ◽  
And Performance

Digital technologies quick advancement prompts immersive remodeling of our economies and social orders that are entirely extensive. Innovative progress particularly in the area of artificial intelligence (AI), robotics, huge information and business analytics, also the increased and virtual reality are giving an all-out digital connectivity and recent conceivable outcomes for successful study and managing. Establishment anticipates higher efficiency and open doors for advanced execution by expanding utilization and integration of technology innovations. Not simply machines or shrewd calculations will accomplish assignments, however new types of human-machine communication show important influences for situating focal job of human in structure and advance exercises. In this study, the creators show a diagram of accessible technological solutions that (incorporating innovation) prompting new types of human-machine interaction and organizational management improvement. Moreover, features of advancement necessities producing thoughts in initial improve procedures are distinguished, organizational innovation is particularly pertinent in the present dynamic and turbulent environment, where other inside factors, for example, mechanical resources, employee training, synchronization of new management competences, flexible human capital, and increasingly versatile hierarchical design, are urged to make worth and upper hand. The objective behind this paper is to figure out whether technological assets impact organizational management procedure and how innovation technologies impact organizational management and performance. We accomplish these objectives by breaking down the organizational innovation and performance, using an integrative study methodology that brought out with data accumulated through perusing numerous articles that are connected to the theme and papers keywords.The finding of the research displays that help modernization and enhancement of mechanical aptitudes, inventive and innovative particular that include (web 2.0, Business Intelligence (BI), Artificial Intelligence (AI), enormous information, Internet of Think (IOT), industry 4.0 and social media) competencies advance enhancement in authoritative execution through its positive impact on the methods of potential and recognized adequacy, proficiency of decision making process.Primarily, traditional procedures of the firm affect organizational procedures as well as its performance. Further, interior work adaptability impacts organizational performance through innovation. This concern specifically interest when considering the changing idea of tempestuous mechanical situations wherein association works. Technological resources in this manner recognize new wellsprings of adaptability and organizational development subject to progressively significant logical information and instruments that controls data volume in the organization.

scholarly journals Artificial Intelligence and Police Decision Making Processes

2021 ◽  
Vol 3 (3) ◽  
pp. 73-75
Author(s):  
Adam Palmer
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Decision Making ◽  
Police Department ◽  
Business Analytics ◽  
Health Issues ◽  
Geospatial Technologies ◽  
Mental Health Issues ◽  
Police Decision Making ◽  
Decision Making Processes

On November 26, 2020, Chief Constable Adam Palmer of the Vancouver Police Department (VPD) presented Artificial Intelligence and Police Decision Making Processes at the 2020 CASIS West Coast Security Conference. The presentation was followed by a group panel for questions & answers. Main discussion topics included the integration of data and information sharing systems between BC policing services at all levels, the integration of geospatial technologies into policing in BC, the benefits of introducing better business analytics into policing, and better policing for situations involving mental health issues.

Role of machine learning in changing social and business eco-system – a qualitative study to explore the factors contributing to competitive advantage during COVID pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hishan S. Sanil ◽  
Deepmala Singh ◽  
K. Bhavana Raj ◽  
Somya Choubey ◽  
Narinder Kumar Kumar Bhasin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Growth Rate ◽  
Competitive Advantage ◽  
Computer Technology ◽  
Small Businesses ◽  
Competitive Advantages ◽  
Business Analytics ◽  
Content Type ◽  
The World

Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting company operations for businesses all over the world. “Artificial intelligence (AI)” technologies and several “ML” algorithms have grown in prominence in the business analytics sector. In the era of a huge quantum of data being generated by the virtue of the integration of the various software with the business operations, the relevance of “ML” is continuously increasing. As a result, companies may now profit from knowing how companies may use “ML” and incorporating it into their own operations. “ML” derives useful results from the data to address very dynamic and difficult social and business problems. ML helps in establishing a system that learns automatically and produces results in less time and effort, allowing machines to discover. ML is developing at a breakneck pace, fuelled mostly by new computer technology to competitive advantages during the COVID pandemic. Design/methodology/approach For firms all around the world, “ML” in business aids in expanding scalability and boosting operations. In the field of business analytics, artificial intelligence (AI) and machine learning (ML) algorithms have become increasingly popular. The importance of “ML” is growing in an era when a massive amount of data is generated as a result of the integration of various applications with company activities. As a result, businesses can now benefit from understanding how other businesses are using “ML” and adopting it into their own operations. In order to handle very dynamic and demanding societal and business challenges, machine learning (ML) extracts valuable results from data. Machine learning (ML) aids in the development of a system that learns automatically and generates outcomes with less time and effort, allowing machines to discover. ML is progressing at a dizzying pace, fueled primarily by new computer technology and used to gain competitive advantages during the COVID pandemic. Findings According to a new study published by the Accenture Institute for High Performance, “AI” might double yearly economic growth rates in several wealthy nations by 2035. With broad AI deployment, the yearly growth rate in the USA increased from 2.6% to 4.6%, resulting in an extra $8.3tn. In the UK, AI may contribute $814bn to the economy, raising the yearly growth rate from 2.5% to 3.9%. The authors are already in a business period when huge technological development is assisting us in addressing a variety of difficulties to achieve maximum development. AI technology has enormous developmental consequences. In addition, big data analytics is helping to make AI more enterprise ready. Future developments in “ML” cannot be understated. Machines will very certainly eventually be smarter than humans in practically every way. Originality/value The introduction of AI into the market has enabled small businesses to use tried-and-true strategies for achieving greater business objectives. AI is continually offering a competitive advantage to start-ups, whilst large corporations provide a platform for building novel solutions. AI has become an integral component of reality, from functioning as a robot in a production unit to self-driving automobiles and voice activated resources in complex medical procedures. As a consequence, solving the difficulties highlighted below and finding out how to collaborate with robots will be a constant problem for the human species (Sujaya and Bhaskar, 2021).

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