Can Artificial Intelligence Become Predict Consumer Behavioral Tool

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Artificial Intelligence Marketing and Predicting Consumer Choice

Author : Steven Struhl
Publisher : Kogan Page Publishers
ISBN 13 : 0749479566
Total Pages : 273 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Artificial Intelligence Marketing and Predicting Consumer Choice by : Steven Struhl

Download or read book Artificial Intelligence Marketing and Predicting Consumer Choice written by Steven Struhl and published by Kogan Page Publishers. This book was released on 2017-04-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.

Data Science

Author : Vijay Kotu
Publisher : Morgan Kaufmann
ISBN 13 : 0128147628
Total Pages : 570 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Science by : Vijay Kotu

Download or read book Data Science written by Vijay Kotu and published by Morgan Kaufmann. This book was released on 2018-11-27 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You'll be able to: - Gain the necessary knowledge of different data science techniques to extract value from data. - Master the concepts and inner workings of 30 commonly used powerful data science algorithms. - Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more... - Contains fully updated content on data science, including tactics on how to mine business data for information - Presents simple explanations for over twenty powerful data science techniques - Enables the practical use of data science algorithms without the need for programming - Demonstrates processes with practical use cases - Introduces each algorithm or technique and explains the workings of a data science algorithm in plain language - Describes the commonly used setup options for the open source tool RapidMiner

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Artificial Intelligence

Author : Harvard Business Review
Publisher : HBR Insights
ISBN 13 : 9781633697898
Total Pages : 160 pages
Book Rating : 4.6/5 (978 download)

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Book Synopsis Artificial Intelligence by : Harvard Business Review

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Artificial Intelligence for Marketing

Author : Jim Sterne
Publisher : John Wiley & Sons
ISBN 13 : 1119406331
Total Pages : 373 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Artificial Intelligence for Marketing by : Jim Sterne

Download or read book Artificial Intelligence for Marketing written by Jim Sterne and published by John Wiley & Sons. This book was released on 2017-08-14 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Author : Chkoniya, Valentina
Publisher : IGI Global
ISBN 13 : 1799869865
Total Pages : 653 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry by : Chkoniya, Valentina

Download or read book Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry written by Chkoniya, Valentina and published by IGI Global. This book was released on 2021-06-25 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Enhancing and Predicting Digital Consumer Behavior with AI

Author : Musiolik, Thomas Heinrich
Publisher : IGI Global
ISBN 13 :
Total Pages : 464 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Enhancing and Predicting Digital Consumer Behavior with AI by : Musiolik, Thomas Heinrich

Download or read book Enhancing and Predicting Digital Consumer Behavior with AI written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-05-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.

The Economics of Artificial Intelligence

Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author : El Bachir Boukherouaa
Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Artificial Intelligence in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1119548985
Total Pages : 220 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Artificial Intelligence in Practice by : Bernard Marr

Download or read book Artificial Intelligence in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2019-04-15 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Social Media Analytics in Predicting Consumer Behavior

Author : Selay Ilgaz Sumer
Publisher : CRC Press
ISBN 13 : 100088449X
Total Pages : 205 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Social Media Analytics in Predicting Consumer Behavior by : Selay Ilgaz Sumer

Download or read book Social Media Analytics in Predicting Consumer Behavior written by Selay Ilgaz Sumer and published by CRC Press. This book was released on 2023-04-27 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information is very important for businesses. Businesses that use information correctly are successful while those that don’t, decline. Social media is an important source of data. This data brings us to social media analytics. Surveys are no longer the only way to hear the voice of consumers. With the data obtained from social media platforms, businesses can devise marketing strategies. It provides a better understanding consumer behavior. As consumers are at the center of all business activities, it is unrealistic to succeed without understanding consumption patterns. Social media analytics is useful, especially for marketers. Marketers can evaluate the data to make strategic marketing plans. Social media analytics and consumer behavior are two important issues that need to be addressed together. The book differs in that it handles social media analytics from a different perspective. It is planned that social media analytics will be discussed in detail in terms of consumer behavior in the book. The book will be useful to the students, businesses, and marketers in many aspects.

Artificial Intelligence in Behavioral and Mental Health Care

Author : David D. Luxton
Publisher : Academic Press
ISBN 13 : 0128007923
Total Pages : 309 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings

AI and Data Engineering Solutions for Effective Marketing

Author : Alla, Lhoussaine
Publisher : IGI Global
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI and Data Engineering Solutions for Effective Marketing by : Alla, Lhoussaine

Download or read book AI and Data Engineering Solutions for Effective Marketing written by Alla, Lhoussaine and published by IGI Global. This book was released on 2024-07-17 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of contemporary marketing, a challenge exists — the relationship between data engineering, artificial intelligence, and the essential elements of effective marketing. Businesses find themselves at a crossroads, grappling with the imperative to navigate this complex landscape. This challenge serves as the backdrop for the exploration in AI and Data Engineering Solutions for Effective Marketing, a comprehensive reference tailored for academic scholars. Seamlessly integrating theoretical models with real-world applications, the book delves into critical facets of strategic and operational marketing. From the adoption of data science techniques to grappling with big data's vast potential, it offers a guide for academics seeking profound insights into the future of marketing strategies and their efficient execution. Designed for researchers, practitioners, and students with an interest in the intersection of artificial intelligence, data engineering, and marketing, this book serves as a guide for implementing new marketing management solutions and optimizing their operational efficiency. While the primary audience is researchers and practitioners in the field, the book is also tailored to benefit students seeking a deep understanding of the latest developments in marketing.

Metaheuristics for Machine Learning

Author : Mansour Eddaly
Publisher : Springer Nature
ISBN 13 : 9811938881
Total Pages : 231 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Metaheuristics for Machine Learning by : Mansour Eddaly

Download or read book Metaheuristics for Machine Learning written by Mansour Eddaly and published by Springer Nature. This book was released on 2023-03-13 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.

Advances in Artificial Intelligence-based Technologies

Author : Maria Virvou
Publisher : Springer Nature
ISBN 13 : 3030805719
Total Pages : 241 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Artificial Intelligence-based Technologies by : Maria Virvou

Download or read book Advances in Artificial Intelligence-based Technologies written by Maria Virvou and published by Springer Nature. This book was released on 2021-10-02 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

Handbook of Research on Achieving Sustainable Development Goals With Sustainable Marketing

Author : Gigauri, Iza
Publisher : IGI Global
ISBN 13 : 1668486830
Total Pages : 478 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Achieving Sustainable Development Goals With Sustainable Marketing by : Gigauri, Iza

Download or read book Handbook of Research on Achieving Sustainable Development Goals With Sustainable Marketing written by Gigauri, Iza and published by IGI Global. This book was released on 2023-06-26 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prominent idea of sustainable development has influenced almost all disciplines, changing our understanding and behavior toward sustainability. In this respect, marketing has also been transforming from the sustainability point of view as emerging social and ecological problems caused by the exponential growth require sustainable solutions and joint efforts. Sustainable marketing intends to integrate ecological, social, and ethical concerns while creating value. Consumers, along with other stakeholders, expect that brands will contribute to work toward the sustainable development goals; therefore, companies need to redesign their marketing initiatives to create, promote, and deliver values that are in line with sustainability. The Handbook of Research on Achieving Sustainable Development Goals With Sustainable Marketing illuminates current developments in sustainable marketing and the new trends and tendencies concerning the concept in theory and practice. The book also explores the concept of sustainable marketing in todays context of the digital age, explains its boundaries and benefits, and describes the challenges and opportunities as well as the advantages and potential disadvantages of sustainable marketing and branding efforts. Covering key topics such as branding, marketing ethics, and corporate social responsibility, this premier reference source is ideal for marketers, business owners, managers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Reliability and Statistics in Transportation and Communication

Author : Igor Kabashkin
Publisher : Springer Nature
ISBN 13 : 3030961966
Total Pages : 621 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Reliability and Statistics in Transportation and Communication by : Igor Kabashkin

Download or read book Reliability and Statistics in Transportation and Communication written by Igor Kabashkin and published by Springer Nature. This book was released on 2022-02-22 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 15, 2021. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.