Computer und IT
Emerging Technologies in Healthcare 4.0
Delve into the evolution of healthcare technologies, exploring their impact on patient care and management. This book provides a comprehensive exploration of the industrial revolution in healthcare. In this book, you'll cover the fundamentals of artificial intelligence (AI) in healthcare, including an overview of AI and machine learning, applications in healthcare domains, and challenges and opportunities in AI implementation. It progresses to explore integration of AI and IoT in Healthcare 4.0, discussing synergies, real-time data analysis, and future trends in telemedicine. The book also addresses critical aspects such as data security and privacy, focusing on regulations, standards, and strategies for ensuring data protection. Practical applications of AI and IoT in remote patient monitoring, disease diagnosis, and healthcare operations management are thoroughly examined, alongside ethical and legal considerations in Healthcare 4.0. The final chapters offer insights into emerging trends, potential challenges, and recommendations for successfully adopting AI and IoT in healthcare. Readers will gain a comprehensive understanding of how AI and IoT are revolutionizing healthcare, from enhancing patient outcomes and operational efficiencies to navigating the ethical and legal landscapes of data privacy. This book equips healthcare professionals, policymakers, and technology enthusiasts with the knowledge to navigate and leverage the transformative potential of Healthcare 4.0 technologies effectively. What You Will Learn * Explore the integration of AI with IoT Technologies in Healthcare 4.0 * Gain insights into the ethical and legal considerations surrounding AI and IoT implementations in healthcare Discover case studies and practical examples illustrating the transformative impact of AI and IoT on patient care Delve into the evolution of healthcare technologies, exploring their impact on patient care and management. This book provides a comprehensive exploration of the industrial revolution in healthcare. In this book, you'll cover the fundamentals of Artificial Intelligence (AI) in healthcare, including an overview of AI and machine learning, applications in healthcare domains, and challenges and opportunities in AI implementation. It progresses to explore integration of AI and IoT in Healthcare 4.0, discussing synergies, real-time data analysis, and future trends in telemedicine. The book also addresses critical aspects such as data security and privacy, focusing on regulations, standards, and strategies for ensuring data protection. Practical applications of AI and IoT in remote patient monitoring, disease diagnosis, and healthcare operations management are thoroughly examined, alongside ethical and legal considerations in Healthcare 4.0. The final chapters offer insights into emerging trends, potential challenges, and recommendations for successfully adopting AI and IoT in healthcare. Readers will gain a comprehensive understanding of how AI and IoT are revolutionizing healthcare, from enhancing patient outcomes and operational efficiencies to navigating the ethical and legal landscapes of data privacy. This book equips healthcare professionals, policymakers, and technology enthusiasts with knowledge to navigate and leverage transformative potential of Healthcare 4.0 technologies effectively. You Will * Explore the integration of AI with IoT technologies in Healthcare 4.0 * Gain insights into the ethical and legal considerations surrounding AI and IoT implementations in healthcare * Learn about emerging trends and future perspectives in Healthcare 4.0, including the potential challenges and recommendations * Discover case studies and practical examples illustrating the transformative impact of AI and IoT on patient care Who Is This Book For Readers with foundational understanding of healthcare systems and technologies will benefit most from this book. Specifically, a basic knowledge of healthcare operations, medical terminology, and information technology would be advantageous. Familiarity with concepts related to AI and IoT in healthcare, though not mandatory, would also enhance comprehension of the advanced topics covered in the book. Dr. Alok Kumar Srivastav is an accomplished Assistant Professor in the Department of Health Science at the University of the People, Pasadena, California, USA. His academic background includes a Ph.D., M.Tech, M.Sc. in Bio-Technology; a Post-Doctoral Fellowship (Research) in Bio-Technology from Lincoln University College, Malaysia; and an MBA in Human Resource Management. He is a distinguished figure in academia and research, honored with the "International Pride of Educationist Award" at AIT, Thailand, in 2022, for pioneering contributions to advancing education in the digital era and receiving a prestigious accolade "Innovative Academic Researcher Award" at HULT, France, UK in 2024 for his exceptional creativity, innovation, and impact in academic research. Dr. Priyanka Das serves as an Assistant Professor in the Department of Health Science at the prestigious University of the People in Pasadena, California, USA. She holds a Ph.D., M.Tech, and M.Sc. in Biotechnology along with an MBA in Human Resource Management. Prior to her current position, she was a Post-Doctoral Fellow (Research) in Biotechnology at Lincoln University College, Malaysia. Dr. Priyanka Das is a dedicated scholar, contributing significantly to the field of Biotechnology. Chapter 1: Introduction to Healthcare 4.0.- Chapter 2: Fundamentals of Artificial Intelligence (AI) in Healthcare.- Chapter 3: Internet of Things (IoT) in Healthcare.- Chapter 4: Integration of AI and IoT in Healthcare 4.0.- Chapter 5: Data Security and Privacy in Healthcare 4.0.- Chapter 6: AI and IoT in Remote Patient Monitoring.- Chapter 7: AI and IoT in Disease Diagnosis and Management.- Chapter 8: AI and IoT in Healthcare Operations Management.- Chapter 9: Ethical and Legal Considerations in Healthcare 4.0.- Chapter 10: Future Perspectives and Challenges.- Bibliography.
Network Models in Finance
NETWORK MODELS in FINANCE An insightful exploration of the theory and application of networks as applied to investment management Network Models in Finance: Expanding the Tools for Portfolio and Risk Management is a singularly incisive and unique discussion of networks and graph theory as applied to the financial and investment markets. Researchers and authors Gueorgui Konstantinov and Frank Fabozzi walk you through a comprehensive overview of networks in investment management, providing deep insight into their implementation in portfolio and risk management. You’ll discover how to construct diversified and risk-optimized portfolios by linking the price and return movements of different asset classes and factors. You’ll also find out how to better manage risk by properly understanding systematic, counterparty, and systemic risk, and by monitoring changes in the financial system that may indicate a coming financial crisis. Network Models in Finance delivers practical examples of a wide variety of financial data that can be used to visualize, describe, and investigate markets in an entirely new way, and explains the interactions and causal relationships that operate within a network-based framework. This book is a must-read for investors, asset managers, and other finance practitioners with an interest in a largely underexplored area of investing. Expansive overview of theory and practical implementation of networks in investment management Guided by graph theory, Network Models in Finance: Expanding the Tools for Portfolio and Risk Management provides a comprehensive overview of networks in investment management, delivering strong knowledge of various types of networks, important characteristics, estimation, and their implementation in portfolio and risk management. With insights into the complexities of financial markets with respect to how individual entities interact within the financial system, this book enables readers to construct diversified portfolios by understanding the link between price/return movements of different asset classes and factors, perform better risk management through understanding systematic, systemic risk and counterparty risk, and monitor changes in the financial system that indicate a potential financial crisis. With a practitioner-oriented approach, this book includes coverage of: Practical examples of broad financial data to show the vast possibilities to visualize, describe, and investigate markets in a completely new wayInteractions, Causal relationships and optimization within a network-based framework and direct applications of networks compared to traditional methods in financeVarious types of algorithms enhanced by programming language codes that readers can implement and use for their own data Network Models in Finance: Expanding the Tools for Portfolio and Risk Management is an essential read for asset managers and investors seeking to make use of networks in research, trading, and portfolio management. Preface ix Acknowledgments xv About the Authors xvii Part One Chapter 1 Introduction 3 Chapter 2 The Basic Structure of a Network 29 Chapter 3 Network Properties 45 Chapter 4 Network Centrality Metrics 71 Part Two Chapter 5 Network Modeling 95 Chapter 6 Foundations for Building Portfolio Networks – Link Prediction and Association Models 117 Chapter 7 Foundations for Building Portfolio Networks – Statistical and Econometric Models 141 Chapter 8 Building Portfolio Networks – Probabilistic Models 163 Chapter 9 Network Processes in Asset Management 181 Chapter 10 Portfolio Allocation With Networks 227 Part Three Chapter 11 Systematic and Systemic Risk, Spillover, and Contagion 261 Chapter 12 Networks in Risk Management 277 References 313 Index 327 GUEORGUI S. KONSTANTINOV, PHD, has over 17 years’ experience in portfolio management, managing global bond portfolios and currencies for institutional investors and pension funds. He is an advisory board member of the Journal of Portfolio Management and the coauthor of Quantitative Global Bond Portfolio Management. FRANK J. FABOZZI, PHD, is Professor of Practice at John Hopkins University’s Carey Business School. He has authored over 100 books and edited The Handbook of Fixed Income Securities and The Handbook of Mortgage-Backed Securities. He holds the CFA and CPA professional designations.
Applied Satisfiability
Apply satisfiability to a range of difficult problems The Boolean Satisfiability Problem (SAT) is one of the most famous and widely-studied problems in Boolean logic. Optimization versions of this problem include the Maximum Satisfiability Problem (MaxSAT) and its extensions, such as partial MaxSAT and weighted MaxSAT, which assess whether, and to what extent, a solution satisfies a given set of problems. Numerous applications of SAT and MaxSAT have emerged in fields related to logic and computing technology. Applied Satisfiability: Cryptography, Scheduling, and Coalitional Games outlines some of these applications in three specific fields. It offers a huge range of SAT applications and their possible impacts, allowing readers to tackle previously challenging optimization problems with a new selection of tools. Professionals and researchers in this field will find the scope of their computational solutions to otherwise intractable problems vastly increased. Applied Satisfiability readers will also find: Coding and problem-solving skills applicable to a variety of fieldsSpecific experiments and case studies that demonstrate the effectiveness of satisfiability-aided methodsChapters covering topics including cryptographic key recovery, various forms of scheduling, coalition structure generation, and many more Applied Satisfiability is ideal for researchers, graduate students, and practitioners in these fields looking to bring a new skillset to bear in their studies and careers. Xiaojuan Liao, PhD, is an Associate Professor in the College of Computer and Cyber Security, Chengdu University of Technology, Chengdu, China. Miyuki Koshimura, PhD, is an Assistant Professor in the Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan.
The Complete Engineering Manager
Take a 360-degree tour of the engineering manager’s role and responsibilities. This book brings them to life with practical scenarios and references and ensures their relevance to your daily work.From upkeeping technical skills, to managing people and stakeholders, to ensuring timely deliverables, the job of the engineering manager is fast-paced, complex, and often short on learning resources. Fear not, this book has you covered with tips on managing evolving processes, delivering impactful projects in a timely manner, setting goals and priorities among product and technical initiatives, and helping your team focus and deliver.Business priorities are changing at a much faster pace than ever before with new technologies being introduced and adopted regularly. This book will help managers adopt modern practices to meet this moment and aid them in helping engineering teams succeed. _The Complete Engineering Manager_ will leave you with a broader perspective and deeper skill set to apply to engineering management.WHAT YOU WILL LEARN* Employ the SELF framework for self-management and learn to build trust with team members* Manage performance and craft individualized growth plans for employee success* Evolve your team’s development, delivery, and technical processes to improve their efficiency* Drive impact for your organization through prioritization, strategy and value delivery* Adopt modern engineering management practices such as utilizing AIWHO THIS BOOK IS FORNew, aspiring, and experienced engineering managers who are looking for resources to address challenges in their role.Ananth Ramachandran is a seasoned engineering leader who has experience in building happy, productive and high-performing engineering teams. He started his career in a Fortune 500 company as a software engineer and later found his passion in startups and building engineering teams from the ground up. He’s passionate about scaling up people, product and technology strategy and ultimately contributing to an organization’s success.He runs a newsletter for Engineering Managers, techmanagerguide.substack.com, where he writes about day-to-day experiences, challenges, and modern engineering management practices and techniques. He speaks on podcasts and at meetups, and mentors and trains software professionals and aspiring leaders.PART 1: Congratulations, You're an Engineering Manager.- Chapter1: Engineering Manager's Starter Kit.- PART 2: Managing People.- Chapter 2: Self-Management.- Chapter 3: It’s All About Trust.- Chapter 4: Mindful One-on-Ones.- Chapter 5: Managing Performance.- Chapter 6: Working with Your Manager.- PART 3: Managing Processes.- Chapter 7: Evolving Processes and Bringing Change.- Chapter 8: Development and Delivery Processes. Chapter 9: Technical Processes.- PART 4: Mastering Prioritization.- Chapter 10: The Bigger Picture.- Chapter 11: Pragmatic Approach To Prioritization.- Chapter 12: Prioritizing Technical Initiatives.- PART 5: Delivering Impactful Projects.- Chapter 13: Modern Delivery Practices.- Chapter 14: Measuring Delivery Effectiveness.- Chapter 15: Managing Stakeholders, Blockers and Progress.- PART 6: Building High-Performing Teams.- Chapter 16: Make Your Team Great Again.- Chapter 17: Building a Strong Engineering Culture.- Chapter 18: Becoming an Organizational Leader.
Wellness Management Powered by AI Technologies
THIS BOOK IS AN ESSENTIAL RESOURCE ON THE IMPACT OF AI IN MEDICAL SYSTEMS, HELPING READERS STAY AHEAD IN THE MODERN ERA WITH CUTTING-EDGE SOLUTIONS, KNOWLEDGE, AND REAL-WORLD CASE STUDIES.WELLNESS MANAGEMENT POWERED BY AI TECHNOLOGIES explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare. The book begins by examining the fundamental principles of machine learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners. In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare. Readers will find the book:* Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges;* Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes;* Offers authoritative insights into current AI trends and future developments in healthcare;* Features real-world case studies and examples showcasing successful AI integrations in various medical fields.AUDIENCEThis book is a valuable resource for researchers, industry professionals, and engineers from diverse fields such as computer science, artificial intelligence, electronics and electrical engineering, healthcare management, and policymakers. BHARAT BHUSHAN, PHD, is an assistant professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India. He has published more than 150 research papers, contributed over 30 book chapters, and edited 20 books. AKIB KHANDAY, PHD, is a post-doctoral research fellow in the Department of Computer Science and Software Engineering-CIT, United Arab Emirates University, Abu Dhabi, United Arab Emirates. His research interests include computational social sciences, natural language processing (NLP), and machine/deep learning. KHURSHEED AURANGZEB, PHD, is an associate professor in the Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. Over his 15 years of research, he has been involved in several projects related to machine/deep learning and embedded systems. His research interests focus on computer architecture, signal processing, and wireless sensor networks. SUDHIR KUMAR SHARMA, PHD, is a professor and head of the Department of Computer Science at the Institute of Information Technology & Management, affiliated with GGSIPU, New Delhi, India. His research interests include machine learning, data mining, and security. He has published more than 60 research papers in various international journals and conferences and is the author of seven books in the fields of IoT, wireless sensor networks (WSN), and blockchain. PARMA NAND, PHD, is the dean of the School of Engineering and Technology, Sharda University, Greater Noida, India. His expertise includes wireless and sensor networks, cryptography, algorithms, and computer graphics. He has published more than 85 papers in peer-reviewed journals and filed two patents.
Microsoft 365 PowerPoint For Dummies
PRESENT LIKE A PRO, WITH THE TOP-SELLING POWERPOINT BOOK ON THE MARKETSince 1999, PowerPoint For Dummies has been giving readers a jargon-free way to compose compelling presentations. This update covers the latest release of Office and Office 365. Learn the basics of creating a slide deck in PowerPoint, then discover the dynamic features you can use to give your slides a bit of pizazz. Import data from other applications, collaborate in the cloud, and incorporate charts, graphics, and videos into your presentations. Plus, learn how to use Microsoft's new Copilot AI tool—integrated right into the application. Consider this book your first step to making a splash with PowerPoint!* Create your first PowerPoint slide deck and add presentation notes* Improve the design of your slides with templates and best-practice tips* Add animations, change your font style, and insert images and drawings* Share your presentation with audiences in a virtual settingNew and not-so-new PowerPoint users who need a guide to the basics of building a successful presentation will love this up-to-date, beginner-friendly book. DOUG LOWE is the information technology director for a civil engineering firm. He has been managing networks for more than 20 years and is the best-selling author of more than 30 For Dummies books, including Networking For Dummies and Networking All-in-One For Dummies.
Microsoft 365 Excel VBA Programming For Dummies
YOUR STEP-BY-STEP GUIDE TO DOING MORE WITH MICROSOFT EXCELFully updated for the latest version of Office 365, Excel VBA Programming For Dummies will take your Excel knowledge to the next level. With a little background in Visual Basic for Applications (VBA) programming, you can go well beyond basic spreadsheets and functions. Learn the coding basics and syntax you need to write simple or complex macros that can automate your routine Excel tasks. Become an Excel power user by automating data management, user forms, pivot tables, and beyond. When you use VBA to perform Excel operations, you can reduce errors, save time, and integrate with other Microsoft applications. This handy guide also teaches you how to control the security settings for your macros and save macros to use across files and apps. Plus, you'll get updated coverage of Copilot AI integration. Your spreadsheets are about to get much more powerful.* Get stared with VBA coding to create macros and automate tasks in Excel* Follow step-by-step instructions to write and execute your first scripts* Learn about the advanced functions available with the VBA language* Perform tasks faster and integrate excel with other Microsoft appsThis Dummies guide is right up your alley if you're an Excel user looking to learn some next-level features. Students and professionals alike will reap the benefits of automation, thanks to Excel VBA Programming For Dummies.DICK KUSLEIKA has more than 25 years’ experience helping Office users get the most out of Microsoft’s bestselling software. From online forums to blogs, books, and conferences, he delivers sound and straightforward advice to readers of all skill levels.
Microsoft 365 Word For Dummies
TAKE A DEEP DIVE INTO THE MOST POPULAR WORD PROCESSOR ON THE PLANETWord, Microsoft's powerful and popular word processor, is capable of extraordinary things. From template building to fancy formatting and even AI-powered editing and proofing, your copy of Word stands ready to help you supercharge your productivity and save you time and energy. You just need to learn how it's done. And, thanks to this easy-to-understand book, learning is the easy part!This latest edition of Word For Dummies is packed with the essentials you need to turn any old copy of the famous word processor into a document-creating, table-formatting, graphics-editing super app. You'll even learn how to customize your version of Microsoft Word so it's absolutely perfect for you, at home and at work. You'll also find out how to:* Navigate the Word interface and menus and figure out a ton of hotkey shortcuts* Edit, format, and comment documents to make team collaboration a breeze* Use the new Microsoft Copilot's AI capabilities to make Word even more powerfulSo, grab your copy of the latest edition of Word For Dummies today. It's perfect for casual users interested in upgrading their knowledge of this ubiquitous app as well as power users looking for the latest productivity tips and tricks. DAN GOOKIN wrote the first-ever For Dummies book in 1991. The author of several bestsellers, Dan’s books have been translated into 32 languages and have more than 11 million copies in print. Dan is the bestselling author of all editions of Word For Dummies.
Microsoft Teams For Dummies
UNLOCK THE FULL POWER OF MICROSOFT TEAMS, INCLUDING BRAND-NEW AI FUNCTIONALITY, WITH YOUR FRIENDS AT FOR DUMMIESLooking for a fast and easy guide to Microsoft Teams, the collaboration software used by millions of people and companies around the world? In Microsoft Teams For Dummies, 3rd edition, you'll find the must-know tips, hidden tricks, and handy hacks you need to help you rock your workday and get things done lightning-fast. You'll learn how to incorporate Teams into your everyday workflow and use functionality like chatting, file sharing, team organization, videochat, and more. You'll even learn how to use Microsoft's brand-new AI companion Copilot to help you improve your processes and productivity. You'll find out how to:* Connect with colleagues and collaborate remotely, from across the hall or from the other side of the world* Use little-known Teams features to help you supercharge your productivity and get more done in a day* Customize your Teams installation and make it work better for you and your teammatesAn engaging and effective roadmap to one of Microsoft's most popular apps, Microsoft Teams For Dummies is a must-read for everyone who uses—or wants to use—this powerful software at work or anywhere else. Grab a copy today! ROSEMARIE WITHEE is president of Portal Integrators, a Scrum-based software and services firm. Rosemarie has authored a number of books in the For Dummies series, including the most recent editions of Office 365 For Dummies and SharePoint For Dummies.
Microsoft Copilot For Dummies
STRAIGHTFORWARD GUIDANCE ON THE AI TOOL THAT'S BUILT INTO WINDOWS, MICROSOFT 365, AND MOREMicrosoft is enhancing all its most widely used productivity software—including Windows and apps like Word and Excel—with the power of AI. And now you can learn to make the most of this revolutionary new tool with Microsoft Copilot For Dummies!You'll discover how to write Copilot-friendly prompts, enhance output with integrated Copilot tools, and how to apply Copilot functions to project management and other specific tasks and disciplines. In the book, you'll find out how to:* Use text or your voice to prompt reliable results from Microsoft Copilot* Customize Microsoft Copilot to respond to your unique needs and demands* Add plug-ins to the Microsoft Copilot service to extend its functionality even moreLearn to supercharge your efficiency with Microsoft Copilot For Dummies. This book is perfect for professional and home users of Windows, Microsoft 365, and other Microsoft products and software who want to increase their productivity. Grab a copy today! CHRIS MINNICK is an accomplished author, teacher, and programmer. Minnick has authored or coauthored over 20 books, including titles in the For Dummies series. He has developed video courses for online training providers, and he teaches programming and machine learning to professional developers at leading companies globally. He is author of Coding with AI For Dummies and JavaScript All-in-One For Dummies.
Reinforcement Learning for Cyber Operations
A COMPREHENSIVE AND UP-TO-DATE APPLICATION OF REINFORCEMENT LEARNING CONCEPTS TO OFFENSIVE AND DEFENSIVE CYBERSECURITYIn Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and practical discussion of reinforcement learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization’s cyber posture with RL and illuminate the most probable adversarial attack paths in your networks. Containing entirely original research, this book outlines findings and real-world scenarios that have been modeled and tested against custom generated networks, simulated networks, and data. You’ll also find:* A thorough introduction to modeling actions within post-exploitation cybersecurity events, including Markov Decision Processes employing warm-up phases and penalty scaling* Comprehensive explorations of penetration testing automation, including how RL is trained and tested over a standard attack graph construct* Practical discussions of both red and blue team objectives in their efforts to exploit and defend networks, respectively* Complete treatment of how reinforcement learning can be applied to real-world cybersecurity operational scenariosPerfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit computer science researchers. DR. ABDUL RAHMAN holds PhDs in physics, math, information technology–cybersecurity and has expertise in cybersecurity, big data, blockchain, and analytics (AI, ML). DR. CHRISTOPHER REDINO holds a PhD in theoretical physics and has extensive data science experience in every part of the AI / ML lifecycle. MR. DHRUV NANDAKUMAR has extensive data science expertise in deep learning. DR. TYLER CODY is an Assistant Research Professor at the Virginia Tech National Security Institute. DR. SACHIN SHETTY is a Professor in the Electrical and Computer Engineering Department at Old Dominion University and the Executive Director of the Center for Secure and Intelligent Critical Systems at the Virginia Modeling, Analysis and Simulation Center. MR. DAN RADKE is an Information Security professional with extensive experience in both offensive and defensive cybersecurity.
Principles of AI Governance and Model Risk Management
Navigate the complex landscape of Artificial Intelligence (AI) governance and model risk management using a holistic approach encompassing people, processes, and technology. This book provides practical guidance, oversight structure and centers of excellence, and actionable insights for organizations seeking to harness the power of AI responsibly, ethically, and transparently. By addressing the technical, ethical, and societal dimensions of AI governance, organizations will be empowered to build trustworthy AI systems that benefit both their bottom line and the broader community. Featuring successful mitigating controls based on proven use cases, the book underscores the importance of aligning AI strategy with AI governance, striking a balance between AI innovation, risk mitigation as well as broader business goals. You’ll receive pointers for designing a well-governed AI development lifecycle, emphasizing transparency, accountability, and continuous monitoring throughout the AI development lifecycle. This book highlights the importance of collaboration between stakeholders, i.e., boards of directors, CxOs, corporate counsel, compliance officers, audit executives, data scientists, developers, validators, etc. You’ll gain practical advice on addressing the challenges related to the ownership of AI-generated content and models, stressing the need for legal frameworks and international collaboration. You’ll also learn the importance of auditing AI systems, developing protocols for rapid response in case of AI-related crises, and building capacity for AI actors through education. Principles of AI Governance and Model Risk Management demonstrates its value-added uniqueness by detailing a strategy to ensure a cohesive approach to managing AI-related risks, global compliance, policy, privacy, and AI-human collaboration and oversight. What You Will Learn Different approaches to AI adoption, from building in-house AI capabilities to partnering with external providersKey factors to consider when choosing an AI solution and how to ensure its successful integration into existing workflowsAI technologies, their business impact, and ethical considerations to make informed decisions and foster responsible AIThe environmental impacts of AI systems and the need for sustainable practices in AI development and deployment. Who This Book is For Business executives and process owners/representatives, risk officers, cybersecurity professionals, legal counsel and ethics officers, human resource professionals, data scientists, AI developers, and CTOs.
Generative AI Apps with LangChain and Python
Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain’s components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level.Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you’ll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries._Developing LangChain-based Generative AI LLM Apps with Python_ employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you’ll learn-by-be doing, enhancing your career possibilities in today’s rapidly evolving landscape.WHAT YOU WILL LEARN* Understand different types of LLMs and how to select the right ones for responsible AI.* Structure effective prompts.* Master LangChain concepts, such as chains, models, memory, and agents.* Apply embeddings effectively for search, content comparison, and understanding similarity.* Setup and integrate Pinecone vector database for indexing, structuring data, and search.* Build Q & A applications for multiple doc formats.* Develop multi-step AI workflow apps using LangChain agents.WHO THIS BOOK IS FORPython programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs.RABI JAY has over 15 years of experience driving digital transformation with a unique blend of technical depth and business acumen. His background as a Java and SAP ABAP developer provides insights into the enterprise systems LLMs often needed to integrate with. As a leader in Deloitte’s Digital / Cloud Native practice, he has gained cross-industry experience applying AI solutions, positioning him to identify where LLMs offer the greatest potential for business impact.He is passionate about making complex technology accessible, leading him to authoring books on SAP NetWeaver Portal Technology and "Enterprise AI in the Cloud" along with regular contributions to industry publications. His role as a technical reviewer for Large Language Model Based Solutions, Modern Python Development Using ChatGPT, and as Vice President at HCL America, focused on digital transformation, demonstrate his active engagement in the LLM field. Additionally, he runs a LinkedIn newsletter ("Enterprise AI Transformation") and free LinkedIn course (“Generative AI for Business Innovation”).Chapter 1: Introduction to LangChain and LLMs.- Chapter 2: Integrating LLM APIs with LangChain.- Chapter 3: Building Q&A and Chatbot Apps.- Chapter 4: Exploring LLMs.- Chapter 5: Mastering Prompts for Creative Content.- Chapter 6: Building Chatbots and Automated Analysis Systems Using Chains.- Chapter 7: Building Advanced Q&A and Search applications Using Retrieval-Augmented Generation (RAG).- Chapter 8: Your First Agent App.- Chapter 9: Building Different Types of Agents.- Chapter 10: Projects: Building Agent Apps for Common Use Cases. - Chapter 11: Building & Deploying a ChatGPT Like App Using Streamlit.
Hands-on Deep Learning
This book discusses deep learning, from its fundamental principles to its practical applications, with hands-on exercises and coding. It focuses on deep learning techniques and shows how to apply them across a wide range of practical scenarios.The book begins with an introduction to the core concepts of deep learning. It delves into topics such as transfer learning, multi-task learning, and end-to-end learning, providing insights into various deep learning models and their real-world applications. Next, it covers neural networks, progressing from single-layer perceptrons to multi-layer perceptrons, and solving the complexities of backpropagation and gradient descent. It explains optimizing model performance through effective techniques, addressing key considerations such as hyperparameters, bias, variance, and data division. It also covers convolutional neural networks (CNNs) through two comprehensive chapters, covering the architecture, components, and significance of kernels implementing well-known CNN models such as AlexNet and LeNet. It concludes with exploring autoencoders and generative models such as Hopfield Networks and Boltzmann Machines, applying these techniques to a diverse set of practical applications. These applications include image classification, object detection, sentiment analysis, COVID-19 detection, and ChatGPT.By the end of this book, you will have gained a thorough understanding of deep learning, from its fundamental principles to its innovative applications, enabling you to apply this knowledge to solve a wide range of real-world problems.WHAT YOU WILL LEARN* What are deep neural networks?* What is transfer learning, multi-task learning, and end-to-end learning?* What are hyperparameters, bias, variance, and data division?* What are CNN and RNN?WHO THIS BOOK IS FORMachine learning engineers, data scientists, AI practitioners, software developers, and engineers interested in deep learningHARSH BHASIN is a researcher and practitioner. He has completed his PhD in Diagnosis and Conversion Prediction of Mild Cognitive Impairment Using Machine Learning from Jawaharlal Nehru University, New Delhi. He worked as a Deep Learning consultant for various firms and taught at various Universities, including Jamia Hamdard, and DTU. He is currently associated with Bennett University.Harsh has authored 11 books, including _Programming in C#_ and _Algorithms._ He has authored more than 40 papers that have been published in international conferences and renowned journals, including Alzheimer’s and Dementia, Soft Computing, Springer, BMC Medical Informatics & Decision Making, AI & Society, etc. He is the reviewer of a few renowned journals and has been the editor of a few special issues. He has been a recipient of Visvesvaraya Fellowship, Ministry of Electronics and Information Technology.His areas of expertise include Deep Learning, Algorithms and Medical Imaging. Apart from his professional endeavours, he is deeply interested in Hindi Poetry: the progressive era and Hindustani Classical Music: percussion instruments.Chapter 1: Revisiting Machine Learning.- Chapter 2: Introduction to Deep Learning.- Chapter 3: Neural Networks.- Chapter 4: Training Deep Networks.- Chapter 5: Hyperparameter Tuning.- Chapter 6: Convolutional Neural Networks: Part 1.- Chapter 7: Convolutional Neural Networks : Part 2.- Chapter 8: Transfer Learning.- Chapter 9: Recurrent Neural Networks.- Chapter 10: LSTM and GRU.- Chapter 11: Autoencoders.- Chapter 12: Introduction to Generative Models.- Appendices A-G.
Pro Oracle Database 23ai Administration
Master Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you’ll need to perform to keep your databases tuned and performing, and includes new, important innovations with AI Vector Search, JSON Duality Views, and Select AI. Since Oracle Database 23ai offers a choice of platforms with on-premises and cloud, the book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls.Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You’ll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization’s data for those type of activities. You’ll know how to pull back information from a combination of relational tables and JSON structures. You’ll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you’ll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time.This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies.WHAT YOU WILL LEARN* Configure and manage Oracle 23ai databases both on-premises and in the cloud* Meet your DBA responsibilities in the Oracle Cloud and with Database Cloud Services* Leverage converged database capabilities to manage different workloads, structured and unstructured data* Perform administrative tasks for Autonomous Database dedicated environments* Perform DBA tasks and effectively use data management tools * Migrate from on-premises to the Oracle Cloud Infrastructure* Troubleshoot issues with Oracle 23ai databases and quickly solve performance problems* Architect cloud, on-premises, hybrid, and multi-cloud database environments WHO THIS BOOK IS FOROracle database administrators (DBAs) who want to be current with the new features in Oracle Database 23ai. For any DBA who is tasked with managing Oracle databases in cloud, hybrid cloud, and multi-cloud configurations. Also helpful for data architects who are designing analytic solutions in data lake house and data mesh environments.MICHELLE MALCHER is a senior manager for database product management at Oracle. Her deep technical expertise, from database to security, as well as her senior level contributions as a speaker, author, Oracle ACE director, and customer advisory board participant have aided many corporations in areas such as architecture and risk assessment, purchasing and installation, and ongoing systems oversight. She was a founding board member for FUEL, the Palo Alto Networks User community, as well as a past president and long time volunteer for the Independent Oracle User Group (IOUG). She has built out teams for database security and data services, and enjoys sharing knowledge about data intelligence and providing secure and standardized database environments.DARL KUHN is an Oracle DBA consultant at RMCI. He handles all facets of database administration from design and development to production support. He also teaches advanced database courses at University of Denver. He does volunteer DBA work for the Rocky Mountain Oracle User Group. He has a graduate degree from Colorado State University and lives near Spanish Peaks, Colorado, with his wife, Heidi, and daughters, Brandi and Lisa.1. Installing the Oracle Binaries.- 2. Creating a Database.- 3. Configuring an Efficient Environment.- 4. Tablespaces and Data Files.- 5. Managing Control Files, Online Redo Logs and Archivelogs.- 6. Users and Basic Security.- 7. Tables and Constraints.- 8. Indexes.- 9. Views, Duality Views and Materialized Views.- 10. Data Dictionary Fundamentals.- 11. Large Objects.- 12. Containers and Pluggables.- 13. RMAN Backups and Reporting.- 14. RMAN Restore and Recovery.- 15. External Tables.- 16. Automation and Troubleshooting.- 17. Migration to Multitenant and Fleet Management.- 18. Data Management.
Java 23 for Absolute Beginners
Write your first code in Java 23 using simple, step-by-step examples that model real-word objects and events, making learning easy. With this book you will be able to pick up core programming concepts without fuss and write efficient Java code in no time. Clear code descriptions and layout ensure you get your code running as soon as possible. Author Iuliana Cosmina focuses on practical knowledge and getting you up to speed quickly—all the bits and pieces a novice needs to get started programming in Java.In this edition, you will discover how Java has changed since version 17, and how to design and write code using the most recently introduced Java features such as new collection methods, virtual threads, pattern and record matching in switch expressions, structured concurrency tasks, unnamed classes and instance methods, and many more.This book is a complete Java guide, covering the following topics: setting up a development environment, programming concepts and well-known programming principles, writing Java code following industry-specific design patterns and coding conventions, executing it, debugging, testing, documenting it and even using specialized tools such as IntelliJ IDEA for writing Java code, Maven for building, JUnit Jupiter for testing, and in-memory and Docker-hosted databases or data storage. After reading this book, you’ll have all the necessary skills and knowledge to pass an interview for a starting Java development position.WHAT YOU WILL LEARN* Set up a Java development environment* Use the Java language to write high-quality code* Understand fundamental programming concepts and algorithms* Use virtual threads, records, and other Java renown features* Debug, test, and document Java code* Improve performance by customizing the Garbage CollectorWHO THIS BOOK IS FORThose who are new to programming and want to learn Java and use it to build efficient solutionsIULIANA COSMINA is currently a software engineer for Cloudsoft, Edinburgh. She has been writing Java code since 2002 and contributed to various types of applications such as experimental search engines, ERPs, track and trace, and banking. During her career, she has been a teacher, a team leader, software architect, DevOps professional, and software manager. She is a Spring-certified Professional, as defined by Pivotal, the makers of Spring Framework, Boot, and other tools, and considers Spring the best Java framework to work with. When she is not programming, she spends her time reading, blogging, learning to play piano, travelling, hiking, or biking.1. An Introduction to Java and its History.- 2. Preparing your Development Environment.- 3. Getting Your Feet Wet.- 4. Java Syntax.- 5. Data Types.- 6. Operators.- 7. Controlling the Flow.- 8. The Stream API.- 9. Debugging, Testing, and Documenting.- 10. Making Your Application Interactive.- 11. Working With Files.- 12. The Publish-Subscribe Framework.- 13. Garbage Collection.- Appendix A.
Reinforcement Learning for Cyber Operations
A COMPREHENSIVE AND UP-TO-DATE APPLICATION OF REINFORCEMENT LEARNING CONCEPTS TO OFFENSIVE AND DEFENSIVE CYBERSECURITYIn Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and practical discussion of reinforcement learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization’s cyber posture with RL and illuminate the most probable adversarial attack paths in your networks. Containing entirely original research, this book outlines findings and real-world scenarios that have been modeled and tested against custom generated networks, simulated networks, and data. You’ll also find:* A thorough introduction to modeling actions within post-exploitation cybersecurity events, including Markov Decision Processes employing warm-up phases and penalty scaling* Comprehensive explorations of penetration testing automation, including how RL is trained and tested over a standard attack graph construct* Practical discussions of both red and blue team objectives in their efforts to exploit and defend networks, respectively* Complete treatment of how reinforcement learning can be applied to real-world cybersecurity operational scenariosPerfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit computer science researchers. DR. ABDUL RAHMAN holds PhDs in physics, math, information technology–cybersecurity and has expertise in cybersecurity, big data, blockchain, and analytics (AI, ML). DR. CHRISTOPHER REDINO holds a PhD in theoretical physics and has extensive data science experience in every part of the AI / ML lifecycle. MR. DHRUV NANDAKUMAR has extensive data science expertise in deep learning. DR. TYLER CODY is an Assistant Research Professor at the Virginia Tech National Security Institute. DR. SACHIN SHETTY is a Professor in the Electrical and Computer Engineering Department at Old Dominion University and the Executive Director of the Center for Secure and Intelligent Critical Systems at the Virginia Modeling, Analysis and Simulation Center. MR. DAN RADKE is an Information Security professional with extensive experience in both offensive and defensive cybersecurity.
Applied Satisfiability
APPLY SATISFIABILITY TO A RANGE OF DIFFICULT PROBLEMSThe Boolean Satisfiability Problem (SAT) is one of the most famous and widely-studied problems in Boolean logic. Optimization versions of this problem include the Maximum Satisfiability Problem (MaxSAT) and its extensions, such as partial MaxSAT and weighted MaxSAT, which assess whether, and to what extent, a solution satisfies a given set of problems. Numerous applications of SAT and MaxSAT have emerged in fields related to logic and computing technology. Applied Satisfiability: Cryptography, Scheduling, and Coalitional Games outlines some of these applications in three specific fields. It offers a huge range of SAT applications and their possible impacts, allowing readers to tackle previously challenging optimization problems with a new selection of tools. Professionals and researchers in this field will find the scope of their computational solutions to otherwise intractable problems vastly increased. Applied Satisfiability readers will also find:* Coding and problem-solving skills applicable to a variety of fields* Specific experiments and case studies that demonstrate the effectiveness of satisfiability-aided methods* Chapters covering topics including cryptographic key recovery, various forms of scheduling, coalition structure generation, and many moreApplied Satisfiability is ideal for researchers, graduate students, and practitioners in these fields looking to bring a new skillset to bear in their studies and careers. XIAOJUAN LIAO, PHD, is an Associate Professor in the College of Computer and Cyber Security, Chengdu University of Technology, Chengdu, China. MIYUKI KOSHIMURA, PHD, is an Assistant Professor in the Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan.
Signals and Systems
INTRODUCTORY COURSE TEXTBOOK ON SIGNALS AND SYSTEMS WITH NUMEROUS EXAMPLES AND CODE SNIPPETS IMPLEMENTED IN PYTHONSupported by code examples, Signals and Systems: Theory and Practical Explorations with Python is a textbook resource for a complete introductory course in systems and signals, enabling readers to run Python programs for convolution, discrete time Fourier transforms and series, sampling, and interpolation for a wide range of functions. Readers are guided step-by-step through basic differential equations, basic linear algebra, and calculus to ensure full comprehension of the exercises. This book is supported by a companion website, hosting interactive material to draw functions, and run programs in Python; it is enriched with audiovisual material via linking to related videos. Links to resources that provide a deeper explanation about the important concepts in the book, such as the systems approach, complex numbers, harmony, the Euler equation, and Hilbert spaces, are also included. Written by two highly qualified academics, topics covered include:* Systems approach for modeling the natural and manmade systems and some application areas* Representation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functions* Properties of signals, such as symmetry, harmony, energy, power, continuity and discreteness* Convolution and correlation operations for continuous time and discrete time signals and systems* Representation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations * Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causality* Continuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform * Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filters* Sampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolationSignals and Systems is an ideal textbook resource for a one semester introductory course on signals and systems for upper level undergraduate and graduate students in computer science, electrical engineering and data science. It is also a useful reference for professionals working in bioinformatics, robotics, remote sensing, and related fields. FATOŞ TUNAY YARMAN VURAL is a Professor in the Department of Computer Engineering at Middle East Technical University, Turkey. She is a Senior Member of the IEEE and received her PhD from Princeton University, USA, in 1981. EMRE AKBAŞ is an Associate Professor in the Department of Computer Engineering at Middle East Technical University, Turkey. Dr. Akbaş received his PhD from the University of Illinois at Urbana-Champaign, USA, in 2011.
Mensch-Computer-Interaktion (3. Auflage)
Jeder hat das schon einmal erlebt: Webseiten, auf denen man die Schrift nicht lesen kann, Informationsterminals, bei denen man nicht erkennt, wo man drücken soll, Programme, die unverständliche Meldungen hervorbringen, kurz: Software, die nicht gebrauchstauglich ist. Dieses Buch enthält Basiswissen, das alle benötigen, die gebrauchstaugliche Software erstellen wollen. Ausgehend von der menschlichen Informationsverarbeitung erläutern die Autoren, wie Benutzungsschnittstellen beschaffen sein müssen und wie bei der Entwicklung von Anwendungen vorzugehen ist, damit Menschen die Software sinnvoll nutzen können. Das Buch berücksichtigt die aktuellen Normen und Vorschriften anhand praktischer Beispiele. Diese dritte erweiterte und komplett überarbeitete Auflage integriert neben aktuellen technologischen Entwicklungen auch die Erfahrungen aus mehr als 20 Jahren Lehre in der Mensch-Computer-Interaktion.Auf der Webseite mci-buch.info sind Lösungen zu den Aufgaben, weitere Beispiele und Übungsaufgaben, inhaltliche Ergänzungen, und weiterführende Links zu finden. Probleme bei der Rechnerbenutzung. Ergonomie in der Mensch-Computer-Interaktion. Die Benutzungsschnittstelle. Entwicklung gebrauchstauglicher Systeme. Physiologie der menschlichen Informationsverarbeitung. Psychologie der menschlichen Informationsverarbeitung. Handlungsprozesse. Standardausgabegeräte. Standardeingabegeräte. Ein- und Ausgabe räumlicher Daten. Nicht visuelle Interaktionsmodalitäten. Gestaltungsprinzipien für Benutzungsschnittstellen. Informationsdarstellung. Visuelle Interaktionselemente. Dialoggestaltung. Benutzerunterstützung. Berücksichtigung spezifischer Benutzerbedürfnisse. DR. ANDREAS M. HEINECKE war bis Ende Februar 2022 hauptamtlich als Professor für interaktive Systeme am Fachbereich Informatik und Kommunikation der Westfälischen Hochschule in Gelsenkirchen tätig. In seinen Lehrveranstaltungen, in der Praxis als Berater und Entwickler sowie in zahlreichen wissenschaftlichen Veröffentlichungen befasst er sich mit Mensch-Computer-Interaktion insbesondere bei multimedialen und mobilen Anwendungen.DR. JENS GERKEN ist seit Juli 2023 Professor für das Fachgebiet Inklusive Mensch-Roboter-Interaktion an der TU Dortmund und beschäftigt sich dort unter anderem mit Fragen der Zugänglichkeit und Barrierefreiheit interaktiver Technologien. Zwischen 2015 und 2023 war er zuvor als Professor für Mensch-Computer-Interaktion am Fachbereich Informatik und Kommunikation der Westfälischen Hochschule in Gelsenkirchen tätig.
Competitive Semiconductor Product Management
This book is your guide to navigating the complex landscape of the semiconductor product industry. With the emerging benefits of artificial intelligence (AI), the semiconductor industry is at crossroads of unprecedented demand, touching almost every product in the modern world. The book takes into consideration the business development opportunities and guides you through technical and business details to help you gain a deep understanding of the semiconductor product management lifecycle.From transistors to modern AI accelerators, semiconductor products are fundamental contributors to technology and shape our future. Continuous research and development are pushing the boundaries of technology disruption and demanding capabilities in semiconductor products in almost all technological spaces. This book is a one-stop resource for delivering customer-centric solutions and it unveils the secrets to crafting the perfect semiconductor product.The book takes you through the impact of factors such as The Chips Act 2022 to reveal opportunities and challenges across semiconductor product industries. It provides a systematic framework for product managers and technology business leaders to define and implement semiconductor products with competitive advantage, using a robust competitive product strategy.This book demystifies the complex technical concepts in semiconductor architecture, manufacturing technology, and performance management via easy-to-understand, real-world examples.WHAT YOU WILL LEARN* Develop knowledge of semiconductor hardware architecture and software organization* Dig into industry eco-system challenges, factors contributing to success, and failures of semiconductor products* Know the secrets to defining competitive semiconductor product strategies and roadmaps* Be aware of factors impacting semiconductor product manufacturing and performance management* Understand the strategies of the key semiconductor product leaders in the industry* Gain a detailed understanding of the design, development, positioning, pricing, and supply of semiconductor productsWHO THIS BOOK IS FORProduct managers, program managers, directors of product management, vice presidents of technology, principal engineers, CEOs, executive leaders in the semiconductor industry, product architects, software and hardware design and verification engineers, technical leaders in semiconductor industries, as well as business leaders, students pursuing electrical, electronics, & communication engineering, sales, and marketing teamsSULTANA BEGUM is a technology enthusiast in the semiconductor product industry with over a decade of experience at a leading multinational company. With deep technical thinking and a keen eye towards strategy, her expertise spreads widely across semiconductor design-development to defining and executing product strategy, with hands-on experience in launching software and hardware products. Sultana holds both bachelor's and master’s degrees in Electronics, an MBA in Product Management, and is currently pursuing Execute Management Education at Stanford University. Sultana is a proud wife, daughter, sister in a beautiful loving family, and feels lucky to be mother to six beautiful cockatiel birds. When she is not working or writing, she likes to listen to music, reading philosophy, and research papers.Chapter 1: Competition and Its Significance.- Chapter 2: Competitive Intelligence.- Chapter 3: Architecture.- Chapter 4: Manufacturing Semiconductors .- Chapter 5: Benchmarks and Performance.- Chapter 6: ISVs, OEMs, and Channel Partners.- Chapter 7: Artificial Intelligence (AI) and Software Frameworks.- Chapter 8: Conclusion.
Regenerative Zukünfte und künstliche Intelligenz
Der Band basiert auf den 17 Entwicklungszielen (SDGs) der UNO und entwickelt für die Wirtschaft Zukunftsperspektiven zum Zusammenhang von KI und Nachhaltigkeit. Menschen als Subjekt und Objekt von Nachhaltigkeit (Problembeschreibung).- Innovative Lösungen der sozialen Nachhaltigkeitsdimension (Lösungsansätze).- Konzepte zur Erreichung sozialer Entwicklungsziele.- Konkrete Utopien regenerativer Zukünfte 2050 (Schwerpunkt PEOPLE).
Programmieren mit JavaScript
JavaScript hat sich mittlerweile von einer, am Anfang teils nicht ganz ernst genommenen, Skriptsprache im Browser zu einer der wichtigsten Programmiersprachen überhaupt entwickelt. Im Kern immer noch als die Sprache im Webbrowser schlechthin populär, erobert JavaScript nach und nach immer mehr Anwendungsgebiete. Bei der clientseitigen Webentwicklung gibt es im Grunde keine Alternative zu JavaScript für die Entwicklung interaktiver und dynamischer Webanwendungen. Nahezu alle Frameworks basieren zudem auf JavaScript. Aber auch zur Unterstützung vieler weiterer Arten von Software kann man JavaScript einsetzen bzw. gibt es auf JavaScript aufsetzende Frameworks.Insbesondere boomt aber die serverseitige Entwicklung mit JavaScript. Beispielsweise mit Node.js können Entwickler JavaScript auf Serverseite ausführen, was die Entwicklung von skalierbaren und leistungsstarken Webanwendungen ermöglicht. Node.js wird zudem häufig für die Erstellung von APIs, Echtzeit-Anwendungen und Microservices verwendet.Entdecken Sie in diesem Buch nun die mittlerweile fast grenzenlosen Möglichkeiten von JavaScript. Von den Grundlagen bis hin zu fortgeschrittenen Techniken werden alle Aspekte der Sprache abgedeckt. Tauchen Sie ein in die Welt von JavaScript und erweitern Sie Ihr Wissen mit praxisnahen Beispielen und bewährten Methoden. Egal, ob Sie mit JavaScript beginnen und die Grundlagen erlernen möchten, oder als erfahrene(r) Entwicklerin bzw. Entwickler das Können vertiefen wollen. Hier finden Sie das Wissen und die Werkzeuge, um Ihre JavaScript-Fähigkeiten auf das nächste Level zu bringen. Einleitung. Erste Beispiele – Der Sprung ins kalte Wasser. Versionen von JavaScript und Einbindung in Webseiten. Elementare JavaScript-Grundstrukturen. Kontrollflussanweisungen. Arrays, JSON und andere iterierbare Elemente. Funktionen, Prozeduren und Methoden. Module. Objekte und JavaScript. Eingebaute Objektdeklarationen. Der DOM – das Mysterium der JavaScript-Welt. Ausnahmebehandlung. Asynchrone Programmierung. Erweiterte Techniken. Eine Frage der Qualität. RALPH STEYER wurde in Wiesbaden geboren und hat nach dem Abitur in Frankfurt Mathematik studiert. Seit 1996 arbeitet er selbstständig als Diplom-Mathematiker im Bereich EDV-Schulung, Programmierung und Beratung. Seine Spezialgebiete sind Internetprogrammierung und objektorientierte Software-Entwicklung. Unter anderem unterrichtet er an Hochschulen sowie für verschiedene Schulungsanbieter. Ralph Steyer ist zudem Autor zahlreicher Fachbücher und Videotrainings zu verschiedenen Programmierthemen.
AI Integration in Software Development and Operations
Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.You’ll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, you’ll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. _AI Integration in Software Development and Operations _offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.WHAT YOU WILL LEARN* Review the SDLC lifecycle, DevOps, SRE and accompanying topics* Understand machine learning basics, AI techniques, and data preprocessing for DevOps* Explore how AI integration into all phases of SDLC boosts productivity, increases* effectiveness, and reduces human error* Gain a familiarity with AI tools, their use cases, and the value in integrating themWHO THIS BOOK IS FORSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.ABHINAV KRISHNA KAISER is a highly accomplished professional working as a partner at a prestigious consulting firm, where he plays a pivotal role in leading digital transformation programs for clients across diverse sectors. He is a part of the Distinguished Member of Technical Staff (DMTS) cadre, which represents a select group of best-in-class technologists. With a proven track record in the industry, Abhinav is recognized for his expertise in guiding organizations through complex and innovative changes to stay ahead of the curve in today's dynamic business environment. He takes charge of spearheading various digital transformation initiatives, demonstrating a keen understanding of the unique challenges and opportunities presented by different industries. His portfolio includes successfully steering multiple digital transformation programs, showcasing his ability to navigate and drive change in organizations of varying sizes and complexities. His hands-on experience in implementing cutting-edge technologies and methodologies has contributed to the enhanced efficiency and competitiveness of his clients.In addition, Abhinav Krishna Kaiser is a multifaceted professional with a prolific career as an accomplished writer. He boasts an impressive literary portfolio comprising six published books, each delving into the intricacies of digital transformation, DevOps, GCP and ITIL. Abhinav's written works serve as authoritative guides, offering valuable insights and practical solutions to professionals navigating the complexities of modern business and technology landscapes. Beyond his contributions in the written domain, Abhinav is a panel speaker, captivating audiences with his expertise at industry conferences and events. His commitment to knowledge-sharing ex-tends to digital platforms, where he actively engages as a YouTuber and blogger. Through these mediums, he imparts knowledge, shares best practices, and explores emerging trends, reaching a wider audience eager to enhance their understanding of digital transformation, DevOps, GCP, and ITIL.VAMSHI MEDA is a seasoned partner at a prominent consulting firm, specializing in guiding organizations through digital transformation initiatives. With a wealth of experience in the field, he serves as a trusted advisor to numerous enterprises, helping them identify opportunities for digital innovation and navigate the complexities of implementation. Vamshi has demonstrated track record of leading complex initiatives in Architecture, Cloud, GenAI, SRE, AIOps, Agile, and DevOps. He has completed CTO certification from Wharton and a bachelor’s degree in computer science, blending technical prowess with business acumen.He is Recognized for spearheading digital transformation initiatives across diverse industries, including Insurance, Capital Markets, Retail, and Healthcare. Skilled in strategic planning, solution implementation, and fostering collaboration to achieve organizational objectives. A decisive leader with a knack for problem-solving and a commitment to excellence. Vamshi is highly regarded as a keynote speaker at industry-leading conferences, where he shares his expertise and insights on driving successful digital transformations.Chapter 1: First Steps in AI and DevOps.- Chapter 2: Double Click on Machine Learning.- Chapter 3: Software Development and AI Augmentation.- Chapter 4: Planning and Requirements Management in Projects.- Chapter 5: Integrating Generative AI in Software Design and Architecture.- Chapter 6: AI Infusion in Software Build and Development.- Chapter 7: Infusing AI into Software Testing.- Chapter 8: AI in Continuous Delivery.- Chapter 9: Operations, Observability and Site Reliability Engineering.