Demystifying Ai For The Enterprise
DOWNLOAD
Download Demystifying Ai For The Enterprise PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Demystifying Ai For The Enterprise book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Demystifying Ai For The Enterprise
DOWNLOAD
Author : Prashant Natarajan
language : en
Publisher: CRC Press
Release Date : 2021-12-30
Demystifying Ai For The Enterprise written by Prashant Natarajan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-30 with Computers categories.
Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.
Utilizing Ai And Machine Learning In Financial Analysis
DOWNLOAD
Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-01-21
Utilizing Ai And Machine Learning In Financial Analysis written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
Machine learning models can imitate the cognitive process by assimilating knowledge from data and employing it to interpret and analyze information. Machine learning methods facilitate the comprehension of vast amounts of data and reveal significant patterns incorporated within it. This data is utilized to optimize financial business operations, facilitate well-informed judgements, and aid in predictive endeavors. Financial institutions utilize it to enhance pricing, minimize risks stemming from human error, mechanize repetitive duties, and comprehend client behavior. Utilizing AI and Machine Learning in Financial Analysis explores new trends in machine learning and artificial intelligence implementations in the financial sector. It examines techniques in financial analysis using intelligent technologies for improved business services. This book covers topics such as customer relations, predictive analytics, and fraud detection, and is a useful resource for computer engineers, security professionals, business owners, accountants, academicians, data scientists, and researchers.
Embedding Artificial Intelligence Into Erp Software
DOWNLOAD
Author : Siar Sarferaz
language : en
Publisher: Springer Nature
Release Date : 2024-05-30
Embedding Artificial Intelligence Into Erp Software written by Siar Sarferaz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.
This book explains how to embed artificial intelligence in digitized business processes of ERP software by solving the two related substantial challenges: how can artificial intelligence be systematically integrated into ERP business processes for ease of consumption, and how can artificial intelligence be made enterprise-ready by covering ERP qualities like compliance, lifecycle management, extensibility, or scalability? As a general introduction, the first part of this book takes the reader through a historical journey towards intelligent ERP systems. In addition, reference processes and a reference architecture for ERP systems are proposed which build the foundation for the suggested subsequent solution concept, including a method for operationalizing intelligence for ERP business processes. Subsequently, in the second part detailed concepts of embedding artificial intelligence into ERP software are proposed. In this context the suggested solution architecture is depicted, and specific topics are resolved like data integration, model validation, explainability, data protection and privacy, model degradation and performance. In the last part an implementation framework is suggested which enables the previously introduced concepts and harmonizes the development and operations of artificial intelligent ERP applications. This part concludes with case studies considering artificial intelligence scenarios of SAP S/4HANA in the areas of logistics, finance and sales which apply the defined solution approach and shows its real-world feasibility. This book is written for professionals who want to implement (as developers) or exploit (as business analysts or consultants) or consider/plan the implementation/exploitation (as managers) of artificial intelligence in business information systems.
Enterprise Ai For Dummies
DOWNLOAD
Author : Zachary Jarvinen
language : en
Publisher: John Wiley & Sons
Release Date : 2020-08-25
Enterprise Ai For Dummies written by Zachary Jarvinen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Business & Economics categories.
Master the application of artificial intelligence in your enterprise with the book series trusted by millions In Enterprise AI For Dummies, author Zachary Jarvinen simplifies and explains to readers the complicated world of artificial intelligence for business. Using practical examples, concrete applications, and straightforward prose, the author breaks down the fundamental and advanced topics that form the core of business AI. Written for executives, managers, employees, consultants, and students with an interest in the business applications of artificial intelligence, Enterprise AI For Dummies demystifies the sometimes confusing topic of artificial intelligence. No longer will you lag behind your colleagues and friends when discussing the benefits of AI and business. The book includes discussions of AI applications, including: Streamlining business operations Improving decision making Increasing automation Maximizing revenue The For Dummies series makes topics understandable, and as such, this book is written in an easily understood style that's perfect for anyone who seeks an introduction to a usually unforgiving topic.
The New Role Of Labor Unions In The Ai Era
DOWNLOAD
Author : Arenas Falótico, Andrés J.
language : en
Publisher: IGI Global
Release Date : 2025-06-04
The New Role Of Labor Unions In The Ai Era written by Arenas Falótico, Andrés J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Business & Economics categories.
As artificial intelligence (AI) is introduced on a day-to-day basis, its use as tool is an effective and transformative tool for companies and even labor unions. As AI reshapes industries, tasks, and redefine jobs, unions must adapt to compete with its implementation. Traditionally, unions negotiate wages and working conditions, now they are fighting for job security and worker presentation with the introduction of AI. This new role positions labor unions as crucial mediators between technological innovation and worker rights, ensuring that AI benefits all, rather than deepening inequality. The New Role of Labor Unions in the AI Era explores the transformative role of AI and how it is affecting the field of business and management. It further discusses how technologies are reshaping business strategies, operations, and the overall management landscape. Covering topics such as automation, labor markets, and workplace harassment, this book is a useful resource for researchers, academicians, students, and more.
Ai Systems Engineering The End To End Blueprint For Designing Building And Operationalizing Enterprise Ai Solutions
DOWNLOAD
Author : Jayant Deshmukh
language : en
Publisher: Jayant Deshmukh
Release Date : 2025-06-28
Ai Systems Engineering The End To End Blueprint For Designing Building And Operationalizing Enterprise Ai Solutions written by Jayant Deshmukh and has been published by Jayant Deshmukh this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Computers categories.
In today’s hyper-digital landscape, the real differentiator for forward-looking organizations isn’t just deploying AI — it’s engineering it end-to-end, purposefully and sustainably. AI Systems Engineering is your comprehensive field guide to building and operationalizing AI solutions across the enterprise. Whether you're a technology leader, product owner, data scientist, or enterprise architect, this book equips you with the tools, frameworks, and best practices to turn AI from a concept into a transformative force. Written by seasoned AI Consultant Jayant Deshmukh, who has led large-scale AI and digital transformation programs across global financial institutions and Fortune 500 companies, this book draws on real-world experience to demystify the entire AI system lifecycle — from problem framing and data acquisition to deployment, governance, and continuous improvement. 💡 What You’ll Learn Inside: 🔍 Foundations of AI Systems Engineering: Understand how to blend systems thinking, software architecture, and ML engineering into a unified AI development approach. 🧭 Problem Identification & Use Case Framing: Learn how to align business pain points with AI opportunities using strategic prioritization frameworks. 🏗️ Designing Scalable AI Architectures: Build modular, explainable, and secure AI solutions that are ready for real-world complexity. 🔄 Model Lifecycle & MLOps: Apply DevOps principles to model building, training, versioning, and CI/CD pipelines. ⚙️ Operationalizing AI in Production: Integrate AI systems into existing enterprise ecosystems with robust APIs, observability, and feedback loops. 📊 Post-Deployment Monitoring & Governance: Establish responsible AI practices, bias mitigation, drift detection, and compliance readiness. 🎯 Who Should Read This Book? CTOs, CDAIOs, and enterprise architects leading AI transformation Product managers and business leaders navigating AI adoption ML engineers, data scientists, and DevOps teams integrating AI into production Students and professionals looking to bridge theory with enterprise-scale practice 🌐 Why This Book Stands Out: 📍 Real-world examples from banking, manufacturing, and retail sectors 🛠️ Actionable templates, decision matrices, and AI architecture patterns 🚀 Future-ready strategies for scaling AI across business units 📈 Join the Future of AI Engineering AI isn’t just about models — it’s about systems. And systems require blueprints. AI Systems Engineering is your go-to reference for building AI that lasts — responsibly, strategically, and at scale. Grab your copy now ..!!
Artificial Intelligence Research
DOWNLOAD
Author : Anban Pillay
language : en
Publisher: Springer Nature
Release Date : 2022-11-30
Artificial Intelligence Research written by Anban Pillay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Computers categories.
This book constitutes the refereed proceedings of the Third Southern African Conference on Artificial Intelligence Research, SACAIR 2022, held in Stellenbosch, South Africa, in December 2022. The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI.
Ethics In Online Ai Based Systems
DOWNLOAD
Author : Santi Caballé
language : en
Publisher: Elsevier
Release Date : 2024-04-10
Ethics In Online Ai Based Systems written by Santi Caballé and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Computers categories.
Recent technological advancements have deeply transformed society and the way people interact with each other. Instantaneous communication platforms have allowed connections with other people, forming global communities, and creating unprecedented opportunities in many sectors, making access to online resources more ubiquitous by reducing limitations imposed by geographical distance and temporal constrains. These technological developments bear ethically relevant consequences with their deployment, and legislations often lag behind such advancements. Because the appearance and deployment of these technologies happen much faster than legislative procedures, the way these technologies affect social interactions have profound ethical effects before any legislative regulation can be built, in order to prevent and mitigate those effects. Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends features a series of reflections from experts in different fields on potential ethically relevant outcomes that upcoming technological advances could bring about in our society. Creating a space to explore the ethical relevance that technologies currently still under development could have constitutes an opportunity to better understand how these technologies could or should not be used in the future in order to maximize their ethically beneficial outcomes, while avoiding potential detrimental effects. Stimulating reflection and considerations with respect to the design, deployment and use of technology will help guide current and future technological advancements from an ethically informed position in order to ensure that, tomorrow, such advancements could contribute towards solving current global and social challenges that we, as a society, have today. This will not only be useful for researchers and professional engineers, but also for educators, policy makers, and ethicists. - Investigates how "intelligent" technological advances might be used, how they will affect social interactions, and what ethical consequences they might have for society - Identifies and reflects on questions that need to be asked before the design, deployment, and application of upcoming technological advancements, aiming to both prevent and mitigate potential risks, as well as to identify potentially ethically-beneficial opportunities - Recognizes the huge potential for ethically-relevant outcomes that technological advancements have, and take proactive steps to anticipate that they be designed from an ethically-informed position - Provides reflections that highlight the importance of the relationship between technology, their users and our society, thus encouraging informed design and educational and legislative approaches that take this relationship into account
The Risk Of Artificial Intelligence In Credit Ratings
DOWNLOAD
Author : Daniel Cash
language : en
Publisher: Springer Nature
Release Date : 2025-07-12
The Risk Of Artificial Intelligence In Credit Ratings written by Daniel Cash and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Business & Economics categories.
As the leading credit rating agencies begin to heavily invest in the adoption of artificial intelligence, historic systemic failures serve as a reminder of the effect of mis-regulation and misdiagnosis in the credit rating world. As the industry turns towards technologies that can massively enhance the speed, efficiency, but also the temptation to transgress within the credit rating world, there are critical questions that need to be asked to shape the response that will be needed. For regulators and policymakers, the multivariant threat that the adoption of artificial intelligence within the credit rating world poses will require an extensive but nuanced response to counter it. This book presents these issues, reveals intricate implications, and provides for a considered response that regulators and policymakers should consider.
Digital Transformation Artificial Intelligence And Society
DOWNLOAD
Author : Sachin Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-08-18
Digital Transformation Artificial Intelligence And Society written by Sachin Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-18 with Business & Economics categories.
This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities and challenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter. This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising from the integration of digital transformation and AI in society.