Role of Explainable Artificial Intelligence in E-Commerce

Role of Explainable Artificial Intelligence in E-Commerce PDF Author: Loveleen Gaur
Publisher: Springer Nature
ISBN: 3031556151
Category :
Languages : en
Pages : 141

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Book Description

Role of Explainable Artificial Intelligence in E-Commerce

Role of Explainable Artificial Intelligence in E-Commerce PDF Author: Loveleen Gaur
Publisher: Springer Nature
ISBN: 3031556151
Category :
Languages : en
Pages : 141

Get Book Here

Book Description


Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning

Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning PDF Author: Goel, Pawan Kumar
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 689

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Book Description
In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.

AI-Based Data Analytics

AI-Based Data Analytics PDF Author: Kiran Chaudhary
Publisher: CRC Press
ISBN: 1003812651
Category : Computers
Languages : en
Pages : 261

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Book Description
Apply analytics to improve customer experience, AI applied to targeted and personalized marketing Debugging and simulation tools and techniques for massive data systems

Artificial Intelligence

Artificial Intelligence PDF Author: Harvard Business Review
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160

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Book Description
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.

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning PDF Author: Wojciech Samek
Publisher: Springer Nature
ISBN: 3030289540
Category : Computers
Languages : en
Pages : 435

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Book Description
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.

Responsible Implementations of Generative AI for Multidisciplinary Use

Responsible Implementations of Generative AI for Multidisciplinary Use PDF Author: Gaur, Loveleen
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 472

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Book Description
Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more.

Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge

Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge PDF Author: Honghao Gao
Publisher: Springer Nature
ISBN: 3030783030
Category : Technology & Engineering
Languages : en
Pages : 124

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Book Description
This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency.

Information and Communication Technologies in Tourism 2019

Information and Communication Technologies in Tourism 2019 PDF Author: Juho Pesonen
Publisher: Springer
ISBN: 3030059405
Category : Business & Economics
Languages : en
Pages : 461

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Book Description
This book provides an extensive, up-to-date overview of the ways in which information and communication technologies (ICTs) can be used to develop tourism and hospitality. The coverage encompasses a wide variety of topics within the field, including virtual reality, sharing economy and peer-to-peer accommodation, social media use, hotel technology, big data, robotics, and recommendation systems, to name but a few. The content is based on the 2019 ENTER eTourism conference, organized in Nicosia, Cyprus by the International Federation for Information Technologies and Travel & Tourism (IFITT) – the leading independent global community for the discussion, exchange, and development of knowledge on the use and impact of new ICTs in the travel and tourism industry. The book offers a global perspective and rich source of information on important innovations and novel ideas. Though it will prove especially valuable for academics working in the eTourism field, it will also be of considerable interest to practitioners and students.

Principles and Methods of Explainable Artificial Intelligence in Healthcare

Principles and Methods of Explainable Artificial Intelligence in Healthcare PDF Author: Victor Hugo C. De Albuquerque
Publisher: Medical Information Science Reference
ISBN: 9781668437919
Category :
Languages : en
Pages : 325

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Book Description
"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, medical imaging data that assist in earlier prediction"--

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

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance PDF Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35

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Book Description
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.