Manipulations are present everywhere in daily life, as it is impossible not to manipulate! Both personality diagnostics and the analysis of social systems and processes focus on these "social stages," which are subject to mutual influences, and this book deals with extensively. Traditionally, psychological diagnostics either use so-called "lie scales" or measure conspicuous bodily signals, such as polygraphs, to uncover attempts at manipulation or deception. Differentially diagnosed personality profiles generally round off the assessment of individuals. System-relevant analyses in social situations examine interactions between competing parties that want to achieve their influencing or action strategies through "rational" moves and observe the processes from a higher level. You will learn about the insights from the diagnostics of manipulations that you can benefit from as a reader in this reading.Target Groups: Executives, HR experts in academia and practice, and specialists who need to assess the credibility of statements based on "fiction and truth" or are involved in other support mandates.Author: Dr. Heribert Wienkamp, Dipl.-Psychologist and PhD in Psychology, has worked for many years in various roles in the human resources department of a bank and a building society.The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
The ability to deliver software quickly and efficiently is paramount to a company's success. This book is a comprehensive guide to continuous integration and continuous delivery, providing insights and practical strategies for streamlining the software delivery pipeline for speedy and efficient deployments. You'll start by reviewing the fundamentals of CI/CD, and how it enables teams to automate the building, testing, and deployment of software, for faster and more reliable releases. The book then examines CI/CD pipelines, tooling, caching, and how to leverage these tools to expedite delivery workflows, before highlighting the increased importance of testing and monitoring during that process. You'll also gain insights into various testing methodologies and learn how to implement them effectively within their CI/CD pipelines, while keeping QA engineers and other skeptical team members happy. However, the journey towards accelerated software delivery is not just about technology. It also requires a cultural shift within your software development team. The book accomplishes this by delving into strategies for getting apprehensive team members on board. CI/CD Unleashed provides the tools and techniques you need to ensure the quality and reliability of their software, while staying relatively agnostic regarding things like language and framework choices.You Will Learn To: Understand the advantages continuous integration and continuous delivery provide. Automate the building, testing, and deployment of software for faster releases. See how CI/CD can aid a cultural shift within software development teams. Implement CI/CD best practices to deliver streamlined and more cost-effective deployments for your organization. Review WIP limits, small batch releases, and the importance of fostering a blame-free culture. Apply various testing methodologies such as unit testing, integration testing, and end-to-end testing.
Ace your software engineering job interviews by preparing yourself for the concurrent programming rounds. This book fills the gap in practical resources designated for concurrency interview prep. It simplifies complex concepts in C++ and provides example questions to help you approach your interview with confidence.Today, interviews for software engineering roles typically include several different rounds: coding, system design, behavioral, and domain knowledge. The domain knowledge round can vary based on the job description, but one extremely common focus is concurrent programming. While not intended to be a comprehensive reference, this book distills the essential interview insights drawn from author Bonan Liu's personal experiences to stand out from the competition. Key topics include mutexes and locks, condition variables, thread abstraction, STL features, and lock-free implementations, with each concept reinforced through practical exercises like building a file handler cache and implementing read/write locks.Software interviews are more than just exams; they are hours-long conversations with real people. You'll not only develop a solid understanding of concurrency, but also learn how to best showcase your expertise to enhance your performance throughout the entire process, including general coding rounds.You will: Acquire foundational knowledge of concurrent programming in C++. Practice relevant interview questions for each section of this knowledge. Develop strategies for best demonstrating learned skills in the general coding round.
Improving operating leverage is about operational resilience, structural operational efficiency, and sustainable revenue growth. Activity-based enterprise non-interest cost management is an important component of enterprise risk adjusted return management methodology. This book builds on the author Kannan Subramanian's earlier book, Event- and Data-Centric Enterprise Risk-Adjusted Return Management, delving in depth into enterprise non-interest operating cost management and operating leverage.Operating Leverage is about managing a bank's capabilities and its capacity to deliver its products and services efficiently. It is not limited to managing operational costs but includes the operational support for the growth of business and for improving profitability. Profit is an absolute measure that denotes the amount of money the bank makes after deducting all expenses. Profitability measures how efficient the bank is at utilizing its resources to generate risk-adjusted returns. The reader can learn to improve risk adjusted operational effectiveness by implementing a nuanced approach to managing performance, risk, control, and cost simultaneously, at the process level.You'll examine how some institutions have implemented activity-based costing in a siloed environment and without enterprise process automation. Many institutions do not have a scientific way of managing non-interest costs. The book explains why hyperautomation, a technology that intelligently automates business processes, is a more advanced and comprehensive way to manage these factors in a holistic and integrated way. Improving Operating Leverage using Hyperautomation is your complete guide to enhancing risk adjusted operational performance through a nuanced approach to performance, risk, control, and costs at the process level.
Most personas and journey maps crash land shortly after takeoff. This step-by-step playbook provides a revolutionary approach to creating these pivotal artifacts in product design through the concept of altitudes. They will guide you in conceptualizing your users through research techniques that directly inform persona characteristics.Discover how to create personas that are free from irrelevant attributes and learn to develop high-altitude personas with sufficient lift to guide product roadmaps and organizational strategy. You'll also master constructing flight paths for journey maps that capture the user's journey at the perfect level of detail, uncovering key moments in their experience. Then, as personas and journeys evolve, you will learn to measure the impact of product experience improvements.With this book as your co-pilot, you'll navigate the creation process with the help of templates and real-world examples reflecting the latest methods for personas and journey maps. The Persona and Journey Map Playbook will provide you with the tools and strategies to create impactful personas and journey maps that will drive user-centered design and product success.
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.You will: 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.
Make a stand-alone weather data recorder to collect air pressure, air temperature, and humidity data using only an Arduino, SD-card, LCD display, and solar power. Start with that base data. Then easily extend your project to include more such as an XBee radio and sensors for air quality and radiation. Chunyin has years of experience as a researcher in meteorology and oceanography. The projects in this book are based on actual deployable weather data recorders used for collegiate and professional applications. These weather recorders were deployed over coastal water and lands including the Arctic. And you can deploy your own finished model in your backyard, school yard, roof top, or even in the field to collect data at programmed intervals.Don¿t worry about powering all that tech. Yoüll learn about solar controller, solar panels, and step-down DC transformers. Yoüll also make a 30-60 W solor powered battery charger for a 12-VDC battery. Find out whathappens when you combine a simple Arduino with sensors one at a time toward a final model capable of multiple measurements and a longlife of use without recharging or requiring external power. Then add a GPS module so that you constantly have accurate time and position information to pair with your data.Everything you need to know to integrate component and house them in an enclosure is covered. Photos of actual working units are provided, showing you exactly what your data collection station can look like. Yoüll even go a step beyond to understanding meteorology information and how to use the collected data, as well as some data analysis. Build a station capable of real meteorological research and then go beyond to add more sensors and capabilities for your own projects and experiments!What You'll LearnMeasure air pressure, temperature, humidity and more!Add an XBee radio and LCD display to a data recording project for interactivity and communicationWork with basic meteorological principles to understand how your data can be usedWho This Book Is ForMeteorological hobbyists, Makers, and students interested in learning how to collect and analyze data with low-cost hardware.
For many entrepreneurs, raising finance is the most important moment in their startup journey. For introverts, this can also be the time when they are at their weakest as well as a time when they absolutely, positively, cannot fail. This book will lead the reader to design that pitching process in the most positive and useful way for their abilities and their strengths.Having the confidence of knowing a presenter's message is clearly constructed and the interaction is engineered for maximum impact will make the presenter more relaxed and therefore, more confident. Featuring a series of case studies and a concise writing approach, this book will guide you through a proven method tested with investors in Europe, the USA and Asia.Author Richard Tierney shares his three decades of global experience as a business coach and media producer across many sectors. When done, The Three Slide Pitch Deck will lead you to greater conversion, greater investment, and more successful business ventures.You will Understand that preparation is the key to success. Focus the pitch process to your strengths. Review case studies that show you how to pitch in differing circumstance. See how you and your company can stand out from the crowd.Who This Book is ForIntroverted entrepreneurs, company founders and start-ups seeking finance.
This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI.The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI¿s role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector.By the end of this book you will understand Generative AI¿s present and future role in the BFSI sector.What You Will Learn Know what Generative AI is and its applications in the BFSI sector Understand deep learning and its significance in generative models Analyze the AI-driven techniques in portfolio management and customer-centric solutions Know the future of investment banking and trading with AI Know the challenges of integrating AI into the BFSI sectorWho This Book Is ForProfessionals in the BFSI and IT sectors, including system administrators and programmers
This book is a comprehensive guide that aims to revolutionize how developers approach app creation using Microsoft PowerApps, with a special emphasis on harnessing Copilot, an AI-powered coding assistant. The book is an essential resource for both novice and experienced developers, offering an in-depth exploration of integrating artificial intelligence in app development.The integration of AI in app development, particularly through tools such as Copilot, is more relevant now than ever before due to the rapid evolution of technology and the increasing demand for efficient, innovative, and user-friendly applications. Copilot for PowerApps represents a significant advance in this direction, offering developers a unique combination of AI-powered efficiency and the versatility of PowerApps.What You Will Learn Understand complex AI concepts and AI-assisted development Know how to use Copilot effectively and create sophisticated and reliable apps faster Stay abreast of the latest tools and techniques so you remain competitive and relevant in the ever-changing landscape of app development Benefit from case studies and real-world examples that demonstrate the practical application and benefits of using Copilot in PowerAppsWho This Book Is ForAnyone interested in the intersection of AI and app development. It will not only educate but also inspire and prepare readers for the future of this dynamic field.
Get up to speed on the key topics required for the Linux Professional Institute's LPIC-3 305 exam, the third in the four part LPIC 3 certification, which covers virtualization and containerization. The wider LPIC-3 certification helps developers and system administrators become experts in a given context of Linux and Open Source solutions. This study companion is designed to sit alongside your studies and certification guides as you prepare for the exam and will take you through the three main areas of Full Virtualization, Container Virtualization as well as VM Deployment and Provisioning. We will undertake a deep dive of all the major topics, from the basics of virtualizations and containers to indepth break down of virtualization solutions like KVN, Xen and Proxmox and well as popular containers like Docker, Kuberentes, Openstack, Terraform, Packer, Vagrant and others with key concepts covered on the exam called out and applied in each chapter of this book, giving you both practice and reinforcement, a far more effective learning tool than rote learning or similar approaches typically enlisted in exam preparation. LPIC-3 Virtualization and Containerization Study Guide will give you the guidance and support as you take the next exciting step in supercharging your Linux skills and knowledge to take the next step in your professional career. You Will: Gain a clear picture about the different types of virtualization in use today. Understand how work with virtualization solutions like KVM and Xen, and manage them using the libvirt API. Become aware of the use of fully enterprise ready virtualization solutions like Proxmox. Learn the technologies that Open Source virtualization, possible
Analyse how AI and other cutting-edge technologies affect the complex web of international financial transactions. The global remittance sector and artificial intelligence (AI) work together in a way that is testament to the revolutionary force of innovation in the always changing financial and technology landscape. As we stand at the threshold of a new age, this book aims to explore the layers of complexity underlying the confluence of AI and remittances. Your investigation will go beyond the current state of affairs and into the future, whereby predictive analytics and autonomous financial transactions will fundamentally alter the way that we send and receive money internationally. This process's incorporation of AI technology represents a revolution rather than a simple progression, one that might improve millions of people's lives by streamlining, securing, and lowering the cost of financial transactions. This book breaks down the complex workings of AI prediction models, reveals how blockchain integration may be used to facilitate safe and transparent transactions, and examines how biometric authentication can strengthen the security of financial transactions. It dives into the complexities of regulatory compliance, understanding the difficult balance between innovation and conformity to existing standards.When machines carry out transactions based on complex algorithms and current market circumstances, what does it entail for people and economies? What effect does this change have on how people make financial decisions? This book is an invitation to imagine a future in which financial systems are not just efficient but also naturally intelligent. It is a call to reflect on the moral ramifications, the effects on society, and the obligations that accompany the dawn of a new era of financial opportunity. Remittances are about to undergo a revolution, and you have a crucial role to play in determining how this will play out.
Journey through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python.The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You'll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You'll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE). Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. Moving forward, the book covers options, including the famous Black-Scholes model, dissecting it from both risk-neutral probability and PDE perspectives. A chapter at the end also covers the discovery of portfolio theory, beginning with mean-variance analysis and advancing to portfolio simulation and the efficient frontier.
Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities. It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments.The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities. The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management.
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. You will: 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 them
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
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?
This book is the first comprehensive guide to the intersection of data governance and machine learning (ML) projects. As ML applications proliferate, the quality, reliability, and ethical use of data is central to their success, which gives ML data governance unprecedented significance. However, adapting data governance principles to ML systems presents unique, complex challenges. Author Aditya Nandan Prasad equips you with the knowledge and tools needed to navigate this dynamic landscape effectively. Through this guide, you will learn to implement robust and responsible data governance practices, ensuring the development of sustainable, ethical, and future-proofed AI applications.The book begins by covering fundamental principles and practices of underlying ML applications and data governance before diving into the unique challenges and opportunities at play when adapting data governance theory and practice to ML projects, including establishing governance frameworks, ensuring data quality and interpretability, preprocessing, and the ethical implications of ML algorithms and techniques, from mitigating bias in AI systems to the importance of transparency in models.Monitoring and maintaining ML systems performance is also covered in detail, along with regulatory compliance and risk management considerations. Moreover, the book explores strategies for fostering a data-driven culture within organizations and offers guidance on change management to ensure successful adoption of data governance initiatives. Looking ahead, the book examines future trends and emerging challenges in ML data governance, such as Explainable AI (XAI) and the increasing complexity of data.What You Will Learn Comprehensive understanding of machine learning and data governance, including fundamental principles, critical practices, and emerging challenges Navigating the complexities of managing data effectively within the context of machine learning projects Practical strategies and best practices for implementing effective data governance in machine learning projects Key aspects such as data quality, privacy, security, and ethical considerations, ensuring responsible and effective use of data Preparation for the evolving landscape of ML data governance with a focus on future trends and emerging challenges in the rapidly evolving field of AI and machine learning
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