scholarly journals Review of Different Geospatial Perspectives for the Identification and Mitigation of Potential Security Threats to Satellite Platforms

2021 ◽  
Vol 16 (2) ◽  
pp. 60-66
Author(s):  
Luis Diego Monge Solano
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
New Technologies ◽  
Situational Awareness ◽  
Vital Role ◽  
Security Threats ◽  
Security Countermeasures

Satellite infrastructure plays a vital role in today's world. As more systems rely on this technology it increasingly becomes a target for security threats. The existence of such risks has been acknowledged internationally as more resources are allocated to their study and understanding. In this context, studying satellite technologies from a geospatial perspective has provided a situational awareness understanding of the technology ecosystem and its strengths, limitations, and vulnerabilities. New technologies such as artificial intelligence, machine learning, and blockchain must be studied to generate security countermeasures for satellite technologies.

scholarly journals ARTIFICIAL INTELLIGENCE: AN INSTRUMENT ENSURING CYBERSECURITY OF THE FINANCIAL SPHERE OR A CYBER THREAT TO BANKS?

Banking law ◽  
2021 ◽  
Vol 1 ◽  
pp. 35-46
Author(s):  
Svetlana S. Gorokhova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Banking Sector ◽  
New Technologies ◽  
Financial Sector ◽  
Security Threats ◽  
Cyber Threat

The article examines the growing risks and security threats faced by the financial sector. This problem is currently most relevant, as the increased demand for security in the banking sector encourages the development and introduction of new technologies (including machine learning and artificial intelligence), while at the same time creating new vulnerable areas and related problems.

scholarly journals The Pros & Cons of Business Innovation at IT Organizations

2019 ◽  
Vol 7 (1) ◽  
pp. 82-85
Author(s):  
Geetha Swaminathan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Technology ◽  
Cloud Computing ◽  
New Technologies ◽  
Global Market ◽  
Innovative Product ◽  
Business Innovation ◽  
It Organization ◽  
Pros And Cons

In the 21st Century, the buzzword is often used in all fields is “Innovation". It is no wonder using Innovation in day to the conversation as well as striving for innovation execution at organisations in Information Technology (IT) sectors. When we need to talk about innovation in IT sectors in the fast-moving technology IT organisations, they are in a position in increasing its capability in its innovative product and services. There is a lot of benefits out of business innovations that are being reaped in IT companies; there are apparent disadvantages are also the outcome of them. It is quite common, despite all benefits and drawbacks, they are in apposition to survive in the global market. That becomes a great challenge to all IT organisations. In IT organisations which consist of departments such as Development, Testing, Consulting, Networking, Infrastructure, Process and having common platforms and legacy languages, Apart from that they are in the way of invading new technologies such as Digital, Mobile, IoT, Artificial Intelligence, Machine learning Cloud computing. In all the fields, as mentioned above and area, they need to do innovation to sustain their business. This paper will provide elaborate results on Pros and Cons of Business Innovation in IT Organization.

FinTech Adoption in China

2021 ◽  
pp. 166-173
Author(s):  
Gagan Kukreja
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Financial Services ◽  
New Technologies ◽  
Large Population ◽  
Financial Inclusion ◽  
High Penetration ◽  
Digital Payments ◽  
Almost All

Almost all financial services (especially digital payments) in China are affected by new innovations and technologies. New technologies such as blockchain, artificial intelligence, machine learning, deep learning, and data analytics have immensely influenced all most all aspects of financial services such as deposits, transactions, billings, remittances, credits (B2B and P2P), underwriting, insurance, and so on. Fintech companies are enabling larger financial inclusion, changing in lifestyle and expenditure behavior, better and fast financial services, and lots more. This chapter covers the development, opportunities, and challenges of financial sectors because of new technologies in China. This chapter throws the light on opportunities that emerged because of the large population of 1.4 billion people, high penetration, and access to the latest and affordable technology, affordable cost of smartphones, and government policies and regulations. Lastly, this chapter portrays the untapped potentials of Fintech in China.

scholarly journals A technologist view of the next decade evolution of the librarian work environment

2018 ◽  
Vol 186 ◽  
pp. 09004
Author(s):  
André Schaaff ◽  
Marc Wenger
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Work Environment ◽  
New Technologies ◽  
State Of The Art ◽  
Working Environment ◽  
Online Resources ◽  
Mining Machine ◽  
Daily Work

The work environment has deeply evolved in recent decades with the generalisation of IT in terms of hardware, online resources and software. Librarians do not escape this movement and their working environment is becoming essentially digital (databases, online publications, Wikis, specialised software, etc.). With the Big Data era, new tools will be available, implementing artificial intelligence, text mining, machine learning, etc. Most of these technologies already exist but they will become widespread and strongly impact our ways of working. The development of social networks that are "business" oriented will also have an increasing influence. In this context, it is interesting to reflect on how the work environment of librarians will evolve. Maintaining interest in the daily work is fundamental and over-automation is not desirable. It is imperative to keep the human-driven factor. We draw on state of the art new technologies which impact their work, and initiate a discussion about how to integrate them while preserving their expertise.

scholarly journals Teaching students to develop GIS applications

2021 ◽  
pp. 249-257
Author(s):  
Наталия Дмитриевна Хрулёва
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Mobile Applications ◽  
Spatial Representation ◽  
Information Technologies ◽  
New Technologies ◽  
Spatial Information ◽  
Application Development ◽  
Mobile Gis ◽  
Gis Applications

Мобильные ГИС-приложения становятся все более сложными, как решаемые с их помощью задачи. Обычное ГИС-приложение должно включать такие элементы, как искусственный интеллект, распознавание образов или машинное обучение, реляционные или нереляционные базы данных, пространственное представление и рассуждения. Такие компании, как Google и Apple, разрабатывают новые технологии, связанные с разработкой мобильных приложений. Например, Apple представила в 2019 году на WWDC2019 и WWDC2020 новую технологию под названием SwiftUI, которая направлена на сложности разработки мобильного приложения и позволяющая интегрировать такие технологии, как Mapkit, для представления пространственной информации. В данной работе представлены исследования преимуществ использования SwiftUI для интеграции Mapkit в качестве основы пространственного представления для облегчения разработки мобильных ГИС-приложений. Информационные технологии имеют большое разнообразие применений в различных областях науки. Например, искусственный интеллект и машинное обучение - это технологии, которые начинают широко использоваться в мобильных приложениях. Целью данной работы является исследования способов разработки мобильных приложений, которые могут выполнять представление и вычисления информации в соответствии с требованиями. Mobile GIS applications are becoming more and more complex, as the tasks they solve are. A typical GIS application should include elements such as artificial intelligence, pattern recognition or machine learning, relational or non-relational databases, spatial representation and reasoning. Companies such as Google and Apple are developing new technologies related to the development of mobile applications. For example, Apple introduced a new technology called SwiftUI at WWDC2019 and WWDC2020 in 2019, which aims to reduce the complexity of mobile application development and allows integrating technologies such as Mapkit to represent spatial information. This paper presents studies of the advantages of using SwiftUI to integrate Mapkit as a basis for spatial representation to facilitate the development of mobile GIS applications. Information technologies have a wide variety of applications in various fields of science. For example, artificial intelligence and machine learning are technologies that are beginning to be widely used in mobile applications. The purpose of this work is to investigate ways to develop mobile applications that can perform the presentation and calculation of information in accordance with the requirements.

scholarly journals Supervised Learning Methods and Applications in Medical Research

2022 ◽  
pp. 27-34
Author(s):  
Yung Ming ◽  
Lily Yuan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Systematic Review ◽  
Feature Extraction ◽  
Job Performance ◽  
Computational Linguistics ◽  
New Technologies ◽  
Voice Recognition ◽  
Autonomous Driving ◽  
Automated Systems

Machine Learning (ML) and Artificial Intelligence (AI) methods are transforming many commercial and academic areas, including feature extraction, autonomous driving, computational linguistics, and voice recognition. These new technologies are now having a significant effect in radiography, forensics, and many other areas where the accessibility of automated systems may improve the precision and repeatability of essential job performance. In this systematic review, we begin by providing a short overview of the different methods that are currently being developed, with a particular emphasis on those utilized in biomedical studies.

scholarly journals Digital Anthropology in Work Life Rhythm

2019 ◽  
Vol 8 (11S) ◽  
pp. 757-759
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Life Cycle ◽  
Human Resource ◽  
Learning Algorithms ◽  
Vital Role ◽  
Work Life ◽  
Machine Learning Algorithms ◽  
Intelligent Technology

Intelligent technology has touched and improved upon almost every aspect of employee life cycle, Human resource is one of the areas, which has greatly benefited. Transformation of work mainly question the way we work, where we work, how we work and mainly care about the environment and surroundings in which we work. The main goal is to support the organizations to break out their traditional way of work and further move towards to an environment, which brings more pleasing atmosphere, flexible, empowering and communicative. Machine learning, algorithms and artificial intelligence are the latest technology buzzing around the HR professional minds. Artificial intelligence designed to take decisions based on data fed into the programs. The key difference between rhythm and balance is of choice vs adjustment. The choice is made easier, only with the help of priority, quick decision-making, time and communication. To maintain the above scenario digitalisation plays a vital role. In this paper, we suggest the artificial assistants focus on improving the rhythm of individual

Artificial Intelligence in Medicine

2021 ◽  
pp. 49-68
Author(s):  
Gia Merlo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
New Technologies ◽  
New Technology ◽  
Technological System ◽  
Medical Professionals ◽  
Human Intelligence ◽  
Connected Health ◽  
The Future

Disruptive forces are challenging the future of medicine. One of the key forces bringing change is the development of artificial intelligence (AI). AI is a technological system designed to perform tasks that are commonly associated with human intelligence and ability. Machine learning is a subset of AI, and deep learning is an aspect of machine learning. AI can be categorized as either applied or generalized. Machine learning is key to applied AI; it is dynamic and can become more accurate through processing different results. Other new technologies include blockchain, which allows for the storage of all of patients’ records to create a connected health ecosystem. Medical professionals ought to be willing to accept new technology, while also developing the skills that technology will not be able to replicate.

scholarly journals New technologies for tourist services market development

2020 ◽  
pp. 113-116
Author(s):  
O. V. Shpyrnya ◽  
M. V. Koreneva
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Business Processes ◽  
New Technologies ◽  
Market Development ◽  
Trip Planning ◽  
Tourism Product ◽  
Use Of Internet ◽  
Tourism Services ◽  
Further Development

This article analyzes the introduction of new technologies in the tourist services market. It has been determined that at present tourist enterprises are actively investing money in the process of introducing machine learning and artificial intelligence technologies; actively use automation of various levels of complexity of business processes. It is concluded that the sales technologies of the tourism product and individual tourism services are based today on the intensive implementation of modern technological solutions. It is noted that the main trends in the development of the tourist services market will be the further development of online tourism in Russia, as well as the widespread use of Internet technologies.Further penetration of technologies that simplify the routine operations of tourists is predicted. This, for example, real-time luggage tracking via phone, combining trip planning and booking services in one application. At the same time, it will be implemented in the B2B segment. New tourist platforms are being developed today, in which all content from a wide variety of sources is presented, whether it is the traditional GDS, NDC booking system, airline’s own APIs or aggregator data.

scholarly journals Artificial Intelligence as the New Art of War: An Appraisal

2020 ◽  
Vol V (I) ◽  
pp. 642-650
Author(s):  
Shabnam Gul ◽  
Muhammad Faizan Asghar ◽  
Adeel Irfan
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
New Technologies ◽  
Vital Role ◽  
Art Of War ◽  
Contemporary World ◽  
The World ◽  
The Military ◽  
Hearts And Minds ◽  
New Algorithms

The world has been drastically moved into new arenas by the implementation of new technologies in almost every discipline. One such advancement is Artificial Intelligence. Artificial Intelligence is playing a vital role in the military. The data scientists are designing such algorithms that can help in understanding the minds of individuals by closely analyzing the patterns of their thinking. Such Algorithms include many different approaches to data mining. All these advancements in Artificial Intelligence are assisting military forces in devising strategies that will not only enhance the functioning but will also give proactive ways rather than reactive ways while handling the wars or the threat of wars(Manzotti and Chella, 2018). In the contemporary world of using soft powers as a skill to resolve conflicts, the use of Artificial Intelligence in order to win wars through hearts and minds has been a much-needed concept. Data scientists and psychologists need to collaborate and design new algorithms to make the best use of Artificial Intelligence.

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