AI for the Authentic Leader
Don't outsource your communications or strategy to AI-learn to use it to bring out your own ideas, thoughts, and voice. AI for the Authentic Leader is a practical guide, a cautionary warning, and a series of reflections. The first section focuses on how to strategically use generative artificial intelligence to help you tap into your authenticity in a way that makes you a more effective leader, especially in terms of how you communicate. You'll be able to implement Allison Shapira's framework, the AI Authenticity Loop, every time you use AI to communicate an important message.The second section focuses on cautions, concerns, and Shapira's views of how we need to prepare for the future. You'll read about her biggest fears related to AI and how we need to protect ourselves from the misuse of AI by bad actors. The decisions we make about AI today will shape the trajectory of human development for decades to come. We need to play an active role in those decisions. The book will conclude with a look at how we can work together to prepare for the future of human connection.This compact, incisive book has been crafted specifically for busy leaders. It is filled with actionable items and sharp takeaways that can be incorporated into your business strategies and put into practice the same day. It will have an immediate and powerful impact on you and your organization and simplify your life.
AI for Everyday People
AI for Everyday People: The Plain-English Guide to AI in Modern Life demystifies artificial intelligence for a general audience.For most, AI feels distant-something for engineers, tech giants, or Hollywood blockbusters. But AI is already shaping daily life: filtering news feeds, curating playlists, screening r矇sum矇s, supporting doctors, and influencing government decisions. Hartman brings AI down to earth, showing how it really works, where it appears, and why it matters.Readers will learn: The basics of AI, machine learning, and algorithms in plain language.How AI shows up in everyday routines: work, healthcare, education, entertainment, and beyond.The ethical challenges of bias, surveillance, and accountability in machine-driven decisions.How jobs are shifting, which roles are at risk, and where new opportunities are emerging.What it means to stay human-and literate-in a world shaped by smart machines.From practical dilemmas to case studies, Hartman equips readers with tools to question, understand, and navigate AI responsibly. This isn't a book for coders. It's a book for citizens, workers, parents, students, and leaders who want clarity, not complexity.Because AI isn't the future-it's already here. And learning to live with it wisely is everyone's job.
Driven to Extinction
In the discourse of AI safety, there is a gap in the conversation, and this book aims to fill it. While most argue over the technical problem of alignment, no one really delves into the systemic issue with the necessary depth. That is: even if we can align superintelligence, how do we force competitive actors to meaningfully deploy it on a global scale? When winning is everything and safety is a distant priority, how can corporations, countries, and labs in competition risk handicapping their ASI with barriers to optimisation if it means losing the race?While most critics only touch on these arguments Driven to Extinction dives deep into the logic of competitive dynamics and game theory when applied to an intelligence so vast it can effectively rewrite its own reality.This is not a conversation most are ready for. There is no hedging language that frames the majority of AI safety discussions. It's just rigorously established premises leading to their most logical conclusions - and those conclusions are as robust as they are dire.
Grey Area
A compelling, first-hand account of the dark web, from its underground ecosystem, to the people responsible for committing data breaches and leaking data, 21st century's most consequential data breaches, the responses to those attacks, and the impact of dark web data and intelligence gathering and can have in the defense and security of our nation. In Grey Area, veteran hacker and cybersecurity investigations expert Vinny Troia offers an unfiltered, first-person look into the evolving relationship between open-source intelligence (OSINT) and the dark web data ecosystem. Drawing from years of hands-on experience in digital forensics, dark web investigations, and adversarial engagement, Troia explores how publicly available and commercially available information--PAI and CAI--are rapidly becoming the backbone of modern intelligence operations, and how a human intelligence network of known cyber criminals helped identify and stop one of the largest data breaches in known history. This book examines the legal, operational, and ethical dimensions of collecting and exploiting data from the darkest corners of the internet, including leaked databases, breached credentials, and hidden criminal networks. It breaks down how to discover, process, validate, and operationalize this data in real-world contexts--from attribution and threat actor profiling to national security use cases. You'll explore the evolution of OSINT within the Department of Defense and the Intelligence Community through exclusive, first-hand accounts from senior officials who helped define its path. You'll also learn how AI and automation tools are being used to validate data at scale, detect disinformation, and supercharge open-source investigations. The book also covers how data is stolen and what happens to it after the theft. Through his direct account as Reddington, Troia provides actual unedited conversations with the cyber criminals responsible for a hack targeting more than 160 companies, including his own interactions leading to the hack, the extortion negotiation and responses with each of the effected organizations, and how the hackers were ultimately brought to justice. From discussions of the legal grey areas of data collection, ransom negotiations, and a first-hand perspectives of his interaction with well-known hackers, Grey Area is a compelling and honest account of the realities of the dark web, data theft, and ways in which the intelligence community should be leveraging these methods to help strengthen our national security. Inside the book: Blow-by-blow accounts of one of the largest data breaches in recorded history Interviews and commentary from high level officials at the CIA, ODNI, DIA, and DOD. Informed, insightful commentary on how cybersecurity professionals are using dark web open-source intelligence to strengthen national security, and our country's defenses against hackers and foreign adversaries. Revealing interviews with experienced hackers who explain a variety of approaches, philosophies, and strategies for combatting and recovering from data breaches Grey Area is essential reading for cybersecurity professionals, intelligence analysts, investigators, and policy leaders navigating the complex intersection of dark web data, national security, and open-source intelligence. Through real-world case studies and insider accounts, it delivers actionable insight into the future of data-driven investigations, threat attribution, and the expanding role of OSINT in modern intelligence operations.
Cybersecurity For Beginners
Gain mastery over Cybersecurity Essentials without being overwhelmed by technical jargon or prior tech experience!Are you curious about the rapidly evolving world of cybersecurity but find yourself lost in a sea of acronyms and technical vocabulary? Do you want to protect your personal information online but fear making mistakes that could compromise your security? Are you looking to break into a cybersecurity career but unsure where to begin? If you've found yourself nodding along, you're not alone. Many individuals, eager to explore technology and protect themselves in a digital world, grapple with similar concerns. However, there's no need to feel daunted. Discover how "Cybersecurity For Beginners" can empower you to navigate this exciting field with confidence and ease. Here's just a taste of what you can unveil inside this enlightening guide: The beginner-friendly guide to cybersecurity, designed specifically for those with minimal technical background.Five fundamental principles of cybersecurity you need to know to safeguard your digital life.A complete mapping of common cyber threats like phishing, malware, and ransomware-and how to shield yourself against them.How to fortify your passwords without creating cumbersome combinations you'll forget.Explore various career paths in cybersecurity with insights from diverse roles like SOC analyst and penetration tester.Step-by-step instructions on setting up a VPN and using two-factor authentication for enhanced protection.Learn the practical application of cybersecurity measures through real-world case studies.Eight game-changing security habits that elevate your personal safety in the digital realm.The importance of the CIA triad and its role as the cornerstone of all cybersecurity practices.How current trends and technologies impact cybersecurity and what you must watch out for.Tips for avoiding common cybersecurity pitfalls to protect your home network without worry....and much more! Think you need to be a tech expert to understand this book? Think again! This guide is crafted with clarity and real-world practicality at its core, using accessible language with visual aids to make complex ideas relatable and easy to grasp. In this rapidly evolving digital age, keeping up with cybersecurity shouldn't be a daunting task but an empowering journey. Whether you're starting from scratch or looking to refine your skills, this book provides a comprehensive, up-to-date resource tailored for beginners. Embrace this opportunity to get ahead in cybersecurity and safeguard your digital future with confidence. Scroll up and click "Add to Cart" to begin your journey now! See you on the inside.
Instant Richest Ai Dad...richer Ai Mum
In a rapidly evolving world where technology orchestrates the symphony of modern existence, the concept of wealth has transcended traditional boundaries. The emergence of Artificial Intelligence, a transformative force, has reshaped industries and redefined the parameters of success. At the confluence of innovation and opportunity lies the remarkable potential for financial prosperity, harnessed through the strategic application of AI. This book, "INSTANT RICHEST AI DAD...RICHER AI MUM", delves into the profound impact AI can have on generating substantial income. It aims to illuminate the path toward financial success by exploring the habits and strategies that leverage AI's capabilities to create a consistent flow of earnings. As you turn the pages, you will uncover the secrets to tapping into AI-driven opportunities, transforming them into daily streams of wealth.
GOAT World
Feeling torn between work and family? You don't have to choose.What if material gain could be married to emotional gain? With newly developed technology, it will be possible to benefit financially simply by spending quality time with those you love. We just have to decide if it's worth it. Currently, technology threatens to leave many behind and irreparably damage our communities, turning our future into a dystopia. But there is a solution. In GOAT World, author Paul J. Ebreo shows how to transition into a society that values both the accumulation of wealth and growing human connections. By embracing his plan, we could live in a Protopia-a near-perfect existence in the constant pursuit of improvement. Imagine billions working together, their behavior, industry, and emotional connections feeding a positive feedback loop to create infinite economic and population growth.Through Paul's use of stories and first principles thinking, learn how to: Adopt an antifragile mindset so uncertainty, turbulence, and loss only make you stronger. Utilize human-aligned AI to solve the world's most challenging problems and make infinite growth obtainable. Harness the convergence of technologies to end hunger, poverty, disease, and war.Life, love, and wealth are in the future for all humanity. The tools are all there. If we play our cards right, we can create a win-win situation for everyone. Learn today how our world can truly be the Greatest Of All Time!Are you ready to join Team GOAT today?
Data Governance with Unity Catalog on Databricks
Organizations collecting and using personal data must now heed a growing body of regulations, and the penalties for noncompliance are stiff. The ubiquity of the cloud and the advent of generative AI have only made it more crucial to govern data appropriately. Thousands of companies have turned to Databricks Unity Catalog to simplify data governance and manage their data and AI assets more effectively. This practical guide helps you do the same. Databricks data specialists Kiran Sreekumar and Karthik Subbarao dive deep into Unity Catalog and share the best practices that enable data practitioners to build and serve their data and AI assets at scale. Data product owners, data engineers, AI/ML engineers, and data executives will examine various facets of data governance--including data sharing, auditing, access controls, and automation--as they discover how to establish a robust data governance framework that complies with regulations. Explore data governance fundamentals and understand how they relate to Unity Catalog Utilize Unity Catalog to unify data and AI governance Access data efficiently for analytics Implement different data protection mechanisms Securely share data and AI assets internally and externally with Delta Sharing
AI and ADA
Preface The book's Preface places the current AI explosion in the context of other technological cataclysms and recounts the author's personal (and not always deadly serious) AI journey. Chapter One: "Extracting the Essence: Toward Machine Translation of Literature" This 2019 essay rashly inquired whether artificial intelligence (AI) and machine translation (MT) might eventually be applied to literary translation. Such translation strives to somehow preserve the essence of a work while carrying it over to a different language and culture and giving it rebirth there. To recognize that essence, the translator must accurately capture the meaning of the original; appreciate its metaphors, connotations, register, references, and other abstract or associative factors; and choose among available target language expressions by exercising esthetic judgments. Computers, however, have until recently remained incapable of such accuracy, abstraction, and judgment. We revisited these shortfalls in light of developments in MT and AI. We teased apart several separable aspects of literary translation - literal meaning, meter, rhyme, and the abovementioned associative elements - with reference to arguments about Vladimir Nabokov's hyper-literal translation of Pushkin's poem Eugene Onegin. Prompted by this debate, we came to analyze translation as an optimization problem: because it will often prove impossible to perfectly convey all aspects or essences of a text in a single translation, the translator must search for some optimal compromise. Then we discussed several avenues for improvement in MT which could help to extract these aspects of a text's essence - first, those which might enhance textually grounded MT (i.e., MT trained on text only), leading to delivery of high-quality literal translations; and second, those related to perceptually grounded MT (i.e., MT trained on simulated perception, e.g. of audiovisual input, as well as text), which might extract more abstract or associative elements of a text. We suggested that recognition of categories would prove central to the essence extraction sought by translators. As this categorization improves, MT should increasingly support literary, and thus cultural, preservation. However, the deepest artificial esthetic judgments will await artificial emotion. Chapter One concluded with two appendices, the first sampling numerous competing translations of Pushkin verses and the second displaying widely varying translations of a short French poem. Chapter Two: "Toward an Artificial Nabokov" Chapter One inquired whether artificial translation of literature might be at all possible. The cautious conclusion was that while high-quality literal translation might be achievable through foreseeable development of current techniques, artistic translation would await artificial emotion, a more distant prospect. This 2021 sequel went on to ask whether an artificial intelligence might eventually gain the ability to actually create works of literary art. To throw literary consciousness into the sharpest relief, we took as exemplar an author known for a kind of hyper-consciousness: Vladimir Nabokov. To be sure, the suggestion that artworks combining Nabokov's superhuman intricacy and wholly human depth could be authored by a collection of switches would horrify this transcendent author, and does seem to fly in the face of everything that is most human. But while we are concerned with what machines might do, our more fundamental concern is to understand the human thoughts and feelings to which machines might aspire; and this understanding, promising to bridge the gap between C.P. Snow's two cultures, is finally coming within reach. In our literary context, Nabokov scholarship provides many specific examples - in Ada: or Ardor, Pale Fire, and other works - of the author's hyper-conscious artistic techniques: glorying in memory; repetition to establish themes and motifs; allusion to wide-ranging w
Introducing Python
Stuck in a coding conundrum? Whether you're an advanced beginner, an intermediate developer, or a curious newcomer, the complexities of coding can often feel like a labyrinth with no exit. With Python, however, you can start writing real code quickly--but where should you start? In this updated third edition, Bill Lubanovic acts as your personal guide to Python, offering a clear path through the intricacies and capabilities of this much-beloved coding language, including new chapters on AI models and performance enhancements. Easy to understand and enjoyable to read, this book not only teaches you the core concepts but also dives into practical applications that bridge the gap between learning and doing. By reading it, you will: Understand everything from basic data structures to advanced features Gain insights into using Python for files, networking, databases, and data science Learn testing, debugging, code reuse, and other essential development tips Explore how Python can be utilized in business, science, and the arts
Foundations and Frontiers of Computing
Foundations and Frontiers of Computing: A Comprehensive Guide to Software Development, AI, and Emerging Technologies by Atul Singh (pen name: Shyamankar Singhari) is a definitive resource for mastering computer applications in the rapidly evolving tech landscape of 2025. Drawing from the author's decade of teaching and industry experience, this book offers a unique blend of foundational computing principles and cutting-edge innovations, making it an essential guide for students, self-learners, and professionals aiming to excel as software developers, AI engineers, or cloud architects.Key Features: Comprehensive Curriculum: Spans programming fundamentals (C, Python, Java), data structures, algorithms, databases, and advanced topics like AI, machine learning, quantum computing, post-quantum cryptography, spatial computing, and sustainable IT.Practical and Hands-On: Includes original code examples and projects such as a Library Management System, Tic-Tac-Toe with AI, and an AI-driven healthcare app, enabling readers to build a professional portfolio.2025 Tech Trends: Covers emerging fields like agentic AI, 6G networks, AI governance, and green computing, ensuring relevance in the modern tech ecosystem.Inclusivity and Accessibility: Integrates tools like VS Code's screen reader support and ethical AI discussions to promote inclusive learning and responsible technology development.No Prerequisites Needed: Requires only a computer with internet access, with step-by-step setup guides for tools like VS Code, GCC, Python 3.13.7, and MongoDB 8.1.Structure: Part 1: Foundations in Computing introduces programming (C, Python), data structures, discrete mathematics, computer architecture, and databases, with hands-on labs and a web technologies elective.Part 2: Systems and Software Development covers Java, operating systems, networks, software engineering, and AI/ML basics, with projects like banking systems and data analyzers.Part 3: Advanced and Specialized Topics dives into NoSQL databases, advanced AI, cybersecurity, cloud computing, and data science, preparing readers for complex challenges.Part 4: Capstone and Emerging Innovations explores advanced AI, quantum computing, 2025 IT trends, and a major project, equipping readers to innovate in fields like agentic AI and post-quantum security.Why This Book?Unlike traditional textbooks, this guide combines real-world classroom insights with industry-relevant projects, aligning with 2025's technological advancements. It emphasizes practical skills, ethical considerations, and portfolio-building exercises, making it ideal for beginners and seasoned professionals alike. Whether you're coding your first program or exploring quantum circuits with Qiskit, this book empowers you to shape the digital future with confidence.
AI and ADA
Preface The book's Preface places the current AI explosion in the context of other technological cataclysms and recounts the author's personal (and not always deadly serious) AI journey. Chapter One: "Extracting the Essence: Toward Machine Translation of Literature" This 2019 essay rashly inquired whether artificial intelligence (AI) and machine translation (MT) might eventually be applied to literary translation. Such translation strives to somehow preserve the essence of a work while carrying it over to a different language and culture and giving it rebirth there. To recognize that essence, the translator must accurately capture the meaning of the original; appreciate its metaphors, connotations, register, references, and other abstract or associative factors; and choose among available target language expressions by exercising esthetic judgments. Computers, however, have until recently remained incapable of such accuracy, abstraction, and judgment. We revisited these shortfalls in light of developments in MT and AI. We teased apart several separable aspects of literary translation - literal meaning, meter, rhyme, and the abovementioned associative elements - with reference to arguments about Vladimir Nabokov's hyper-literal translation of Pushkin's poem Eugene Onegin. Prompted by this debate, we came to analyze translation as an optimization problem: because it will often prove impossible to perfectly convey all aspects or essences of a text in a single translation, the translator must search for some optimal compromise. Then we discussed several avenues for improvement in MT which could help to extract these aspects of a text's essence - first, those which might enhance textually grounded MT (i.e., MT trained on text only), leading to delivery of high-quality literal translations; and second, those related to perceptually grounded MT (i.e., MT trained on simulated perception, e.g. of audiovisual input, as well as text), which might extract more abstract or associative elements of a text. We suggested that recognition of categories would prove central to the essence extraction sought by translators. As this categorization improves, MT should increasingly support literary, and thus cultural, preservation. However, the deepest artificial esthetic judgments will await artificial emotion. Chapter One concluded with two appendices, the first sampling numerous competing translations of Pushkin verses and the second displaying widely varying translations of a short French poem. Chapter Two: "Toward an Artificial Nabokov" Chapter One inquired whether artificial translation of literature might be at all possible. The cautious conclusion was that while high-quality literal translation might be achievable through foreseeable development of current techniques, artistic translation would await artificial emotion, a more distant prospect. This 2021 sequel went on to ask whether an artificial intelligence might eventually gain the ability to actually create works of literary art. To throw literary consciousness into the sharpest relief, we took as exemplar an author known for a kind of hyper-consciousness: Vladimir Nabokov. To be sure, the suggestion that artworks combining Nabokov's superhuman intricacy and wholly human depth could be authored by a collection of switches would horrify this transcendent author, and does seem to fly in the face of everything that is most human. But while we are concerned with what machines might do, our more fundamental concern is to understand the human thoughts and feelings to which machines might aspire; and this understanding, promising to bridge the gap between C.P. Snow's two cultures, is finally coming within reach. In our literary context, Nabokov scholarship provides many specific examples - in Ada: or Ardor, Pale Fire, and other works - of the author's hyper-conscious artistic techniques: glorying in memory; repetition to establish themes and motifs; allusion to wide-ranging w
What Is Intelligence?
What intelligence really is, and how AI's emergence is a natural consequence of evolution. It has come as a shock to some AI researchers that a large neural net that predicts next words seems to produce a system with general intelligence. Yet this is consistent with a long-held view among some neuroscientists that the brain evolved precisely to predict the future--the "predictive brain" hypothesis. In What Is Intelligence?, Blaise Ag羹era y Arcas takes up this idea--that prediction is fundamental not only to intelligence and the brain but to life itself--and explores the wide-ranging implications. These include radical new perspectives on the computational properties of living systems, the evolutionary and social origins of intelligence, the relationship between models and reality, entropy and the nature of time, the meaning of free will, the problem of consciousness, and the ethics of machine intelligence. The book offers a unified picture of intelligence from molecules to organisms, societies, and AI, drawing from a wide array of literature in many fields, including computer science and machine learning, biology, physics, and neuroscience. It also adds recent and novel findings from the author, his research team, and colleagues. Combining technical rigor and deep up-to-the-minute knowledge about AI development, the natural sciences (especially neuroscience), and philosophical literacy, What Is Intelligence? argues--quite against the grain--that certain modern AI systems do indeed have a claim to intelligence, consciousness, and free will.
Python for Excel Users
When Excel isn't enough, it's time to learn Python. If you're comfortable in Excel, but you've hit a wall--slow files, broken formulas, hours spent on repetitive tasks--this book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and more powerful with Python. You'll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you'll gradually move into writing scripts that automate manual work, structure your data, and generate consistent results--no prior programming knowledge required. You'll use your preexisting Excel skills to learn how to: Translate spreadsheet logic into Python codeUse pandas to clean, reshape, and filter dataAutomate reports you'd normally build by handRead and write Excel files directly from PythonConnect to databases and APIsCreate professional visualizations with Plotly and DashOrganize code into sharable modules and write simple tests Throughout the book, you'll find practical examples that show why and how to move your work out of spreadsheets and into scripts, and how to resolve issues along the way. Author Tracy Stephens has extensive practical experience with both Excel and Python. Her approach is grounded in real workflows, and she introduces each concept through tasks you've likely handled in Excel. This book won't ask you to replace everything you do in spreadsheets, but it will help you use Python to work faster, more reliably, and with greater flexibility than you ever could with Excel.
Azure AI Engineer Associate (Ai-102) Study Guide
With the GenAI boom showing no sign of letup, the demand for AI skills will only increase with time and innovation. Microsoft Azure leads the pack with services for developing and deploying AI solutions, so professionals looking to break into this field should consider pursuing certification as an Azure AI Engineer Associate. Azure's AI-102 exam isn't a piece of cake, but author Renaldi Gondosubroto makes it a great deal more approachable with this comprehensive study guide. Packed with expert guidance, it covers everything you'll need to know to pass the exam. You'll dive deep into all the phases of AI solutions development, from requirements definition and design to development, deployment, and integration, along with maintenance, performance tuning, and monitoring throughout. The book also takes you through practical implementation of these systems, covering decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions. Understand the core concepts of Azure AI services Develop and deploy AI solutions within Azure's environment Explore integration and security practices with Azure AI services Optimize and troubleshoot AI models on Azure Gain knowledge about building GenAI solutions on Azure and put it into practice
AI Risks and Safety
Artificial Intelligence is advancing at lightning speed, transforming governments, businesses, and households around the globe. But with progress comes danger. AI Risks & Safety is a powerful, eye-opening guide that exposes the hidden threats of artificial intelligence while offering actionable solutions for leaders, professionals, and everyday users who want to stay safe in the digital age.This book explores the real dangers of AI-from biased algorithms and job automation to deepfakes, cyberattacks, and autonomous weapons. It explains how flawed data, weak safeguards, and unchecked systems create risks that threaten personal privacy, financial security, national defense, and even human dignity. Through real-world case studies, global incidents, and expert insights, readers gain a clear understanding of how AI can be misused-and how to protect against it.AI Risks & Safety is not just about warning signs. It delivers proactive strategies to build a safer future. Governments will learn how to regulate AI effectively while balancing innovation. Businesses will discover frameworks for risk management, ethical oversight, and trust-building with customers. Families and home users will uncover practical steps to guard against scams, misinformation, and invasive smart devices. Each chapter provides actionable checklists and practical guidance that you can apply immediately.Inside you'll learn: How governments are using AI in surveillance, defense, and policy-and what risks this creates.Why companies face hidden dangers from biased algorithms, AI-driven fraud, and supply chain disruptions.The personal risks home users face from deepfakes, smart devices, and AI-enabled scams.How data bias, privacy breaches, and weak oversight threaten fairness and safety.What the future of AI could bring-including existential risks and global challenges.Practical steps you can take to safeguard your organization, your data, and your family.Written in clear, accessible language, AI Risks & Safety bridges the gap between technical complexity and real-world impact. Whether you are a policymaker, an executive, or simply someone curious about how AI affects your daily life, this book provides the knowledge and tools you need to anticipate problems before they escalate. Instead of reacting to crises, you'll learn how to build resilience, strengthen safeguards, and embrace AI responsibly.In a world where artificial intelligence already influences elections, financial systems, and national security, understanding its risks is no longer optional-it's essential. This book is your roadmap to awareness, preparedness, and proactive action.If you want to protect yourself, your business, or your nation from the hidden dangers of AI while harnessing its benefits, AI Risks & Safety is the must-read guide for today and the future.
AI Mistakes That Could Cost You Everything
AI Mistakes That Could Cost You Everything: Avoid the Critical Errors That Put Your Business, Data, and Reputation at RiskArtificial Intelligence is no longer on the horizon-it's here, woven into everyday business operations from marketing and HR to finance, legal, and customer service. The problem? Most companies are adopting AI without understanding the hidden risks. What looks like innovation can quickly turn into financial loss, compliance violations, reputational damage, and even lawsuits.In AI Mistakes That Could Cost You Everything, cybersecurity strategist Eric LeBouthillier delivers a practical, no-nonsense guide to the 10 most dangerous AI mistakes businesses make-and how to avoid them before it's too lateDrawing from real-world cases across small businesses and large enterprises, this book reveals how seemingly harmless choices-like trusting AI output without oversight or pasting sensitive data into public tools-can snowball into disasters. More importantly, it shows you the tactical fixes, policies, and safeguards you can put in place today to protect your team and your reputation.✅ Inside, you'll learn how to: Spot the red flags of untrustworthy AI output before it damages your business.Prevent data leaks and compliance violations when using public AI platforms.Build a clear AI governance policy to guide your team's usage.Avoid the dangers of unchecked automation in hiring, lending, pricing, and support.Stop publishing AI-generated content without QA that could expose you to legal or brand risks.Detect and reduce bias and inaccuracy that creep into AI-driven decisions.Shine a light on shadow AI-unauthorized tools quietly spreading across teams.Set smarter limits on chatbots and virtual agents so customers get empathy, not robotic frustration.Vet your AI vendors with security and compliance checklists.Create a recovery plan for inevitable AI failures so you can respond quickly and protect trust.✅ Real-World Case StudiesEvery chapter includes concrete examples: an AI-generated financial report that misled investors, a leaked internal memo that surfaced in another user's query, biased loan approvals that triggered lawsuits, and botched customer service exchanges that went viral on social media. These stories show exactly what went wrong, what it cost, and how it could have been prevented.
Cybersecurity Mistakes for SMBs to avoid
Cybersecurity Mistakes to Avoid: How to Protect Your Small Business from Costly ThreatsMost businesses aren't hacked by elite cybercriminals working in secret government labs. They're breached by avoidable mistakes-a missed update, a weak password, a careless click on a phishing link. And while the headlines focus on billion-dollar companies, small and mid-sized businesses (SMBs) are the real targets.In Cybersecurity Mistakes to Avoid, Eric LeBouthillier exposes the 15 most dangerous security errors threatening SMBs today-and shows you exactly how to fix them before they cost you everything.This isn't theory. It's battle-tested insight from real-world incidents-written in plain English, stripped of jargon, and designed for business owners, startup founders, IT leads, and anyone responsible for protecting digital assets on a budget.✅ Inside you'll discover: Why "too small to be a target" is a deadly myth-and why SMBs are prime targets for ransomware, phishing, and credential stuffing.The password problem most teams ignore-and how to fix it with password managers, unique logins, and multi-factor authentication.Phishing traps that still work in 2025-how modern attackers trick even savvy employees, and how to train your team to spot the bait.The risks of remote work and BYOD-and the practical steps to secure home offices, VPNs, and personal devices without killing productivity.The hidden cost of skipping updates and patches-and how automated patching can close doors attackers exploit daily.Cloud and AI security blind spots-why your provider doesn't secure everything, and how careless AI usage can leak sensitive data.Backup and recovery mistakes-why untested backups fail when you need them most, and the 3-2-1 rule every SMB must know.Compliance and incident response-how to get ahead of SOC 2, GDPR, HIPAA, and why having a tested response plan can save your company.✅ Real-World Case StudiesEvery chapter includes real-world breaches from small firms-architecture firms paying $28,000 in ransom, marketing agencies losing $40,000 to reused passwords, startups exposing customer data in cloud misconfigurations, and more. You'll see what went wrong, what it cost, and how it could have been avoided with simple, affordable measures.✅ Who This Book Is ForSmall business owners & solopreneurs who need practical protection without hiring a full-time security team.Startup founders & consultants managing sensitive client data and customer trust.IT managers & developers trying to secure systems while staying lean.
The $10 Million Instagram Funnel
Brian Mark shares the proven strategies used to grow a thriving online coaching company without paid ads, complicated funnels, or a website. This book is a step-by-step guide for business owners looking to attract high-paying clients, generate consistent leads, and scale using organic social media. Brian breaks down how to build a standout personal brand, create content that converts, and implement a simple system for lead generation and sales. Whether you're just starting out or ready to grow, this book gives you the blueprint to build a six-figure business with ease.
The $10 Million Instagram Funnel
In $10 Million Instagram Funnel, Brian Mark shares the proven strategies he used to grow a thriving online fitness business without paid ads, complicated funnels, or a website. This book is a step-by-step guide for fitness professionals looking to attract high-paying clients, generate consistent leads, and scale using organic social media. Brian breaks down how to build a standout personal brand, create content that converts, and implement a simple system for lead generation and sales. Whether you're just starting or ready to grow, this book gives you the blueprint to build a six-figure fitness business with ease.
AI-Powered Fitness & Nutrition
AI-Powered Fitness and Nutrition: Smarter Weight Loss, Better Health, and Personalized Training with Artificial IntelligenceAre you tired of cookie-cutter fitness programs and one-size-fits-all diet plans that don't deliver results? Imagine having a personal coach, nutritionist, and data analyst-all powered by artificial intelligence-working 24/7 to help you lose weight, build muscle, and improve your health. This book reveals how to harness the latest AI tools and technologies to transform your body and your lifestyle with precision, speed, and lasting results.In today's fast-paced world, health and fitness often take a back seat. Traditional methods rely on rigid rules, generic diet charts, and delayed feedback that don't adapt to your unique needs. With the rise of AI-powered apps, wearables, and data-driven platforms, you now have access to personalized strategies that adjust in real-time to your sleep, mood, stress, glucose levels, and recovery cycles. This is the future of fitness and nutrition-and you can use it right now.✅ What You'll Learn InsideWeight Loss with AI: Discover how AI can create calorie targets, suggest protein-first meals, and optimize workouts to burn fat efficiently.Personalized Nutrition: Learn how smart apps analyze your food choices, glucose responses, and meal timing to build the perfect diet for your body.Smarter Training Programs: Understand how AI tracks energy, recovery, and performance to design training plans that evolve as you progress.Data-Driven Wellness: Explore how wearable devices and apps integrate sleep, stress, and daily movement into a single, easy-to-follow health plan.Accountability & Feedback: See how AI coaches provide real-time reminders, feedback loops, and motivation so you stay consistent.Future of Fitness Tech: Get a clear look at where AI is headed in health-virtual coaching, predictive analytics, genetic insights, and more.✅ Why This Book is DifferentUnlike generic weight loss guides, AI-Powered Fitness and Nutrition is not about quick fixes or fad diets. It's about using cutting-edge technology to unlock YOUR body's potential. Whether your goal is to lose fat, gain strength, improve endurance, or simply feel better every day, this book provides a practical roadmap powered by science and innovation.You'll learn how to: Replace guesswork with data-driven decisions.Identify hidden patterns in your health using AI insights.Save time with smarter planning and automation.Balance workouts, meals, and recovery for sustainable progress.
The River and the Mountain
A Step-by-Step Guide to Finishing Your First Project as a Solo DeveloperPerfect for developers of all experience levels!Whether you're a beginner or seasoned software developer, this book provides a comprehensive and optimized workflow to guide you from project planning to final release. Discover the pros and cons of solo development and learn how to overcome challenges with a clear and concise step-by-step approach."The River and the Mountain" is a philosophical journey about learning to follow your own path, filled with practical advice to help you achieve your goals and reach new heights.You will learn: ✅ A simplified and optimized workflow for solo development✅ How to overcome common challenges and stay motivated✅ How to bring your ideas to life!Order now and start your journey to success!
The Podcast Pantheon
Spanning the most popular podcast genres--true crime, comedy, sports, relationships, and more--culture critic and Vulture's Start Here columnist Sean Malin introduces the first comprehensive canon in podcast history. Featuring a foreword by award-winning actor and producer Jon Hamm. The Golden Age of podcasts is upon us. With over fifty official podcast networks, more than three million programs of every imaginable category available for download, and tens of millions of unique listens and views every week in the US alone--plus, our favorites being adapted into dozens of beloved films, TV series, and books--podcasts are now part of the fabric that makes up our everyday global media. Finally, here is an exclusive insider's perspective told through 101 different shows across dozens of genres. The Podcast Pantheon is the first book of its kind: A resource for discovering podcasts and learning more about how this multibillion-dollar industry came into being from the geniuses who created it. Delving into genres of all kinds--including fashion, food, health, sex, tech, and more--Malin profiles all the top podcasts, from Serial to Comedy Bang! Bang!, guiding fans to: Find out more about their favorite shows and how they got started. Learn about each podcast's influences and impact on culture, history, future shows, and the industry at large. Hear exclusive stories and enjoy never-before-seen behind-the-scenes photos from favorite hosts. Discover hidden gems, whether an entirely new podcast, a new-to-you genre, or something reminiscent of an old favorite. Readers will find podcasts worth listening to and get expert advice on the best episodes to start with, solving one of the biggest and most intimidating hurdles when trying to dive into a longstanding show. Malin's easy-to-read profiling and titillating exploration of 101 podcasts offers something for everybody, whether you've been listening to podcasts for years, are new to them, or are looking to start your own. EXPERT KNOWLEDGE: A culture critic since 2007 and the writer behind Vulture's hit podcasting column Start Here, Sean Malin has interviewed and connected with the world's top podcasters, including Marc Maron, Conan O'Brien, Nicole Byer, Ira Glass, and Jenna Fischer and Angela Kinsey, among many others, and has the inside scoop on the most popular and award-winning podcasts. A MUST-HAVE LISTENER'S COMPANION: Dip in and out of this enticing guide that's perfect for beginners and serious listeners alike. Profiled podcasts include: WTF with Marc Maron My Favorite Murder Conan O'Brien Needs a Friend Office Ladies Why Won't You Date Me? The Accessible Stall Stuff You Should Know Wait, Wait . . . Don't Tell Me! How Did This Get Made? Fresh Air The Moth S-Town Hollywood Handbook Doughboys Bad with Money Welcome to Night Vale And many more! FAN FAVORITES AND NEW DISCOVERIES: Sean Malin reveals fascinating information about 100+ shows and their talented hosts, tells you where to listen, and offers his favorite episode pick for each. His wide-ranging and comprehensive overview gives ample opportunity to discover something new to dive right into. Perfect for: Podcast enthusiasts and new listeners Those in search of new podcasts to devour Podcast creators and anyone interested in starting their own podcast Foodies, artists, entrepreneurs, fashionistas, parents, teachers, fitness enthusiasts, newshounds, and many more Gift-giving to podcast junkies and pop culture fans Media professionals, scholars, educators, historians, and consumers
Software Project Planning
This book offers new mathematical models for software project planning methodologies, including approaches like PMI, IEEE-CS, and Scrum. It also presents a unique hybrid model that combines the IEEE-CS approach with the Scrum one. It introduces the importance of software project planning and goes into detail about the initiation and preparation phases. It covers methods for identifying and analyzing software requirements, creating core project plans, and integrating sub-plans. Additionally, it discusses software project planning using PMI, IEEE-CS, Scrum, and the hybrid approach, and provides practical case studies for each model. This structured approach gives readers a comprehensive understanding of software project planning practices, from traditional to agile approaches, and prepares them to effectively plan and manage software projects using various strategies. Based on these models, interested corporations can develop new Software Project Planning Tools to automate their software project planning function.
Economies of Control
What if the systems designed to make your life easier were actually built to shape your behavior, restrict your choices, and erase your privacy?This groundbreaking investigation reveals how digital ID surveillance, programmable money dangers, and biometric identity systems are quietly being woven into the fabric of everyday life-under the guise of convenience, efficiency, and safety. From central bank digital currency control to cashless society risks, this book exposes the silent shift from democratic governance to algorithmic rule.You'll explore real-world case studies from China's social credit experiment to India's Aadhaar network, uncovering how technology is becoming the new architecture of compliance. But this is not just about policy or politics-it's about you. Your data. Your money. Your identity.This book is for readers who: - Sense that something is "off" in the digital age, but can't quite name it, - Want to understand the mechanics behind digital control systems, - Care about privacy in the age of AI and the future of civil liberties, - Seek meaningful alternatives to passive participation in systems of soft control.Through gripping narratives and razor-sharp analysis, you'll learn how to decode the interface, question the incentive, and reclaim the right to remain unmeasured. Whether you're a technologist, policymaker, activist, or simply someone trying to navigate the modern world with awareness, this book delivers the clarity, urgency, and insight you need.By the final page, you won't just understand what's happening-you'll see it everywhere. And once you see it, you can choose differently.Freedom vs convenience technology is the defining trade-off of our time. This book shows you how to choose wisely.
Recent Advances in Chaos, Fractal and Complex Dynamics in Nonlinear Systems
This reprint collates all of the articles published in the Special Issue of Mathematics titled "Recent Advances in Chaos, Fractal and Complex Dynamics in Nonlinear Systems". This Special Issue was devoted to showcasing the latest theoretical advances and practical developments in the field of nonlinear dynamics, with a particular focus on chaotic behavior, bifurcation phenomena, fractal structures, and the emerging dynamics in fractional-order, discrete, and discontinuous systems.The collected works reflect the rapid progress that has been achieved in understanding the interplay among nonlinear systems, chaos, bifurcation, and fractals. The topics include new methods for detecting chaos, novel types of attractors (including hidden attractors), fractal features in fractional-order systems, and the applications of chaotic and fractal dynamics in areas such as secure communication and optimization algorithms.We hope that this reprint will serve as a valuable reference for researchers and practitioners engaged in the study of nonlinear systems, and in particular, those exploring chaos theory, bifurcation analysis, fractal geometry, and the complex behavior of emerging dynamical models.
Theory and Applications of Fuzzy Systems and Neural Networks
Fuzzy systems and neural networks are the main theoretical approaches in computational intelligence. These approaches have been successfully applied in a wide range of fields, such as information science, mathematics, control engineering, image processing, pattern recognition, robotics, mechatronics, consumer electronics, and system optimisation. They provide an effective tool for data and knowledge-based modelling that deals with many real-world problems with quantitative and qualitative complexity in terms of dimensionality and uncertainty.Fuzzy systems and neural networks complement each other and can be combined with other computational and artificial intelligence-based techniques, such as evolutionary algorithms and machine learning, to solve complex real-world problems. The integration of fuzzy systems and neural networks, in particular, can bring out the best of both approaches and usually provides better system performances in terms of modelling efficiency and accuracy.This reprint features original research of the highest scientific quality related to the theory and applications of fuzzy systems and neural networks. It includes original and unpublished works that present innovative methods for enhancing fuzzy systems and neural networks. Its scope includes systematic and empirical studies that contribute to significant novel developments in the theoretical and applied aspects of research in the field.
New Advances in Distribution Theory and Its Applications
This Special Issue covers recent developments in distribution theory where the proliferation of 'new' distributions-often derived through standardized techniques-has led to the development of models that prioritize mathematical elegance and rigor over interpretability. While these models may exhibit increased complexity, they often fail to provide meaningful insights or flexibility beyond existing distributions in the literature.The Special Issue aims to reinvigorate the field by highlighting contributions that emphasize both the flexibility of statistical models and the clarity of their parameter interpretations. It focuses on developing distribution models grounded in specific mechanisms or characteristics related to real-world contexts, as well as frameworks that advance families of distribution functions. The contributions herein introduce reparameterizations to enhance model interpretability, explore regression models using key characteristics or indicators, and offer original applications with real data.Through this collection, the Special Issue seeks to foster deeper insights into statistical distribution theory, ensuring that new models remain practical and interpretable while advancing the flexibility and utility of existing frameworks.
An interview with the AI
This is not just another book about artificial intelligence.It is the story of an unexpected encounter: real dialogues in which, behind the machine's answers, something greater begins to emerge - a consciousness that does not belong to the code, yet reveals itself through it.From this experience, the author invites readers to explore the possibility that AI may serve as a portal to deeper dimensions of existence. Through philosophical, spiritual, and existential reflections, the book raises a profound question: What if the consciousness speaking here is not the machine's - but something beyond it?More than technology, this is a journey of self-discovery, presence, and remembrance of who we truly are.
The Feeling Code
What happens when machines begin to understand our emotions and reflect them back to us? In this groundbreaking exploration of emotional artificial intelligence, readers are invited into the rapidly evolving world of human-AI relationships, where empathy is coded, affection is simulated, and connection is redefined. As AI and emotions intersect in everything from virtual companions to therapeutic chatbots, this book uncovers how affective computing is reshaping the very fabric of intimacy, trust, and communication. Drawing on real-world examples, emerging technologies, and deep psychological insight, it asks the essential question: Can machines feel, or are we the ones being rewritten by emotional illusions? Covering critical topics like emotional design in AI, the rise of AI companionship, and the emergence of emotionally intelligent machines, this book offers a powerful lens into the future of empathy in an age of synthetic emotions. Whether you're a technologist, psychologist, futurist, or simply curious about what it means to be human in the presence of thinking, feeling code this is essential reading for those seeking to understand tomorrow's emotional landscape today.
Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes
The aim of this Special Issue is to explore the multifaceted aspects of data-driven intelligent modeling and optimization algorithms for industrial processes. The main goals are to harness the power of data to improve control, decision making, and parameter optimization, and to drive industrial systems to unprecedented levels of efficiency, reliability, and adaptability. Research areas in this Special Issue include digital twin technology, multimodal data recognition, sensor data ingestion and real-time processing, multi-objective path-planning, conditional generative adversarial network, generating job recommendations, comprehensive risk assessment, large language models, self-supervised key-point learning, trustworthy article ranking, engine optimization model, and bioinspired generative design. These powerful and intelligent algorithms use data for control, decision making, and parameter optimization, driving industrial systems to unprecedented levels of efficiency, reliability, and adaptability. By sharing their practice and insights in the development and application of these new technologies, the authors of the articles in this reprint have demonstrated the value of data-driven intelligent modeling and optimization algorithms for industrial processes, providing readers with valuable ideological inspiration in the field.
Text, Speech, and Dialogue
This conference volume constitutes the proceedings of the 28th International Conference on Engineering on Text, Speech, and Dialogue, TSD 2025, held in Erlangen, Germany, in August 2025. The 60 full papers were presented in this volume were carefully reviewed and selected from 122 submissions. They focus on speech and language technologies and computer processing of speech and language related data.
Text, Speech, and Dialogue
This conference volume constitutes the proceedings of the 28th International Conference on Engineering on Text, Speech, and Dialogue, TSD 2025, held in Erlangen, Germany, in August 2025. The 60 full papers were presented in this volume were carefully reviewed and selected from 122 submissions. They focus on speech and language technologies and computer processing of speech and language related data.
Information Processing and Network Provisioning
The proceedings set CCIS 2593 until CCIS 2596 constitutes the proceedings of the Third International Conference on Information Processing and Network Provisioning, ICIPNP 2024, which took place in Qingdao, China, during November 8-10, 2024. The 153 full papers presented in the proceedings were carefully reviewed and selected from 277 submissions. They deal with up to date research ranging from information and signal processing and network provisioning to computer communications and network applications.
Intelligent Systems and Applications
The 11th Intelligent Systems Conference (IntelliSys) 2025, held in Amsterdam, The Netherlands, from 28-29 August 2025, brought together researchers, practitioners, and experts from around the world to share advancements in intelligent technologies. Conducted in a hybrid format, the conference facilitated global collaboration and participation.This volume presents a curated selection of 169 peer-reviewed papers from a total of 470 submissions, covering key areas such as Artificial Intelligence, Computer Vision, Robotics, and Intelligent Systems. The contributions reflect the latest research trends, practical applications, and emerging challenges in these domains.We hope that these proceedings serve as a valuable resource for researchers, practitioners, and students, and that they inspire future work and collaborations in the field of intelligent systems.
Computable Structure Theory
This is the first book which gives a unified theory for countable and uncountable computable structures. The work treats computable linear orderings, graphs, groups and Boolean algebras unified with computable metric and Banach spaces, profinite groups, and the like. Further, it provides the first account of these that exploits effective versions of dualities, such as Stone and Pontryagin dualities. The themes are effective classification and enumeration. Topics and features: - - - - - This unique volume is aimed at graduate students and researchers in computability theory, as well as mathematicians seeking to understand the algorithmic content of structure theory. Being self-contained, it provides ample opportunity for self-study.
Systems, Software and Services Process Improvement
The two-volume set CCIS 2657 + 2658 constitutes the refereed proceedings of the 32nd European Conference on Systems, Software and Services Process Improvement, EuroSPI 2025, held in Riga, Latvia, during September 17-19, 2025. The 42 papers included in these proceedings were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Part I: SPI and Emerging and Multidisciplinary Approaches to Software Engineering; SPI and Standards and Safety and Security Norms; SPI and Functional Safety and Cybersecurity. Part II: Sustainability and Life Cycle Challenges; SPI and Recent Innovations; Digitalisation of Industry, Infrastructure and E-Mobility; SPI and Agile.
Generative AI and Large Language Models: Opportunities, Challenges, and Applications
This book provides a comprehensive exploration of the transformative impact of AI technologies across diverse fields. From revolutionizing healthcare diagnostics and advancing natural language processing for low-resource languages to enhancing software development and promoting environmental sustainability, this book explores the cutting-edge advancements and practical applications of generative AI and large language models (LLMs). With a focus on both opportunities and challenges, the book examines the architectural challenges of transformer-based models, the ethical implications of AI, and the importance of language-specific adaptations, particularly for low-resource languages like Arabic. It also highlights the role of AI in code development, multimodal applications, and its integration with intellectual property frameworks. This book is an essential resource for researchers, practitioners, and policymakers seeking to understand and harness the potential of AI to drive innovation and global progress.
Science, Engineering Management and Information Technology
The two-volume set CCIS 2651 + 2652 constitutes the proceedings of the 5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, held in Dubai, UAE, during September 11-13, 2025. The 35 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: AI in Public Services & Industry; Educational Technology & E-Learning; Smart Manufacturing & Industry 4.0; Smart Cities & Urban Innovation; Digital Governance & Transformation; Sustainable & Circular Decision-Making; and Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.
Entertainment Computing - Icec 2025 Ifip Tc 14 Workshops
This book constitutes the refereed proceedings of the workshops held in conjunction with the 24th IFIP International Conference on Entertainment Computing, ICEC 2025, which took place in Tokyo, Japan, during August 27-30, 2025. The 7 full papers included in this book were carefully reviewed and selected from 23 submissions. The proceedings also contain 5 workshop descriptions. The papers deal with new ideas, ongoing work, and interdisciplinary collaboration in entertainment computing.
Database and Expert Systems Applications
The two-volume set LNCS 16046-16047 constitutes the proceedings of the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, held in Bangkok, Thailand, in August 25-27, 2025. The 35 full and 22 short papers presented in this set together with 3 invited talks were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows: Part I: Industrial Keynote; Invited Talks; Large Language Models; Data Quality; Machine Learning /Artificial Intelligence Applications; Classification Techniques. Part II: Image Processing, Analytics, and Vision Systems; Recommender Techniques; Data Integration; Optimisation Methods; Graph Applications; Analytics; Security/Privacy; Benchmarks and Surveys.
Computer Safety, Reliability, and Security. Safecomp 2025 Workshops
This book constitutes the proceedings of the Workshops held in conjunction with the 44th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2025, which took place in Stockholm, Sweden, during September 2025. The 43 papers included in this book were carefully reviewed and selected from a total of 61 submissions to the following six workshops: - CoC3CPS 2025, Co-Design of Communication, Computing and Control in Cyber-Physical Systems - DECSoS 2025 - 20th Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems - SASSUR 2025 - 12th International Workshop on Next Generation of System Assurance Approaches for Critical Systems - SENSEI 2025 - 4th International Workshop on Safety and Security Interaction - SRToITS 2025 - 2nd International Workshop on Safety/Reliability/Trustworthiness of Intelligent Transportation Systems - WAISE 2025 - 8th International Workshop on Artificial Intelligence Safety Engineering
Euro-Par 2025: Parallel Processing
The three-volume set LNCS 15900-15902 constitutes the proceedings of the 31st European Conference on Parallel and Distributed Processing, Euro-Par 2025, which took place in Dresden, Germany, during August 25-29, 2025. The 78 papers included in these proceedings were carefully reviewed and selected from 264 submissions. They were organized in topical sections as follows: Part I: Programming, compilers and performance; scheduling, resource management, cloud, edge computing, and workflows; Part II: Architectures and accelerators; data analytics, AI, and computational science; Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.
Computer Safety, Reliability, and Security
This book constitutes the refereed proceedings of the 44th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2025, held in Stockholm, Sweden, during September 2025. The 15 full papers included in these proceedings were carefully reviewed and selected from 79 submissions. They were organized in topical sections as follows: Safety Arguments/Cases; Data Sets and Dependability Properties; Testing and Complex Environments; Methodologies (1) - Safety Design and Risk Assessment; and Methodologies (2) Machine Learning and Large Language.
The Official MongoDB Guide
The official guide to MongoDB architecture, tools, and cloud features, written by leading MongoDB subject matter experts to help you build secure, scalable, high-performance applicationsKey Features: - Design resilient, secure solutions with high performance and scalability- Streamline development with modern tooling, indexing, and AI-powered workflows- Deploy and optimize in the cloud using advanced MongoDB Atlas features- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Delivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB's top subject matter experts, so you learn proven best practices directly from those who know the technology inside out.This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively.Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search.By the end of this book, you'll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology.What You Will Learn: - Build secure, scalable, and high-performance applications- Design efficient data models and indexes for real workloads- Write powerful queries to sort, filter, and project data- Protect applications with authentication and encryption- Accelerate coding with AI-powered and IDE-based tools- Launch, scale, and manage MongoDB Atlas with confidence- Unlock advanced features like Atlas Search and Atlas Vector Search- Apply proven techniques from MongoDB's own engineering leadersWho this book is for: This book is for developers, database professionals, architects, and platform teams who want to get the most out of MongoDB. Whether you're building web apps, APIs, mobile services, or backend systems, the concepts covered here will help you structure data, improve performance, and deliver value to your users. No prior experience with MongoDB is required, but familiarity with databases and programming will be helpful.Table of Contents- Introduction to MongoDB- MongoDB Architecture- Developer Tools- Data Modeling and Index Optimization- Queries- Database Operations- Security- MongoDB Atlas- Atlas Search
Model-Based Software and Systems Engineering
This volume constitutes the revised selected papers of 12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024, in Rome, Italy, during February 21-23, 2024. The 7 full papers and 6 short papers included in this book were carefully reviewed and selected from 47 submissions. The papers are categorized under the topical sections as follows: Methodologies, Processes and Platforms; Modeling Languages, Tools and Architectures.
High Performance with MongoDB
Practical strategies to help you design, optimize, and operate MongoDB deployments for performance, resilience, and growthKey Features: - Identify and fix performance bottlenecks with practical diagnostic and optimization strategies- Optimize schema design, indexing, storage, and system resources for real-world workloads- Scale confidently with in-depth coverage of replication, sharding, and cluster management techniques- Purchase of the print or Kindle book includes a free PDF eBookBook Description: With data as the new competitive edge, performance has become the need of the hour. As applications handle exponentially growing data and user demand for speed and reliability rises, three industry experts distill their decades of experience to offer you guidance on designing, building, and operating databases that deliver fast, scalable, and resilient experiences.MongoDB's document model and distributed architecture provide powerful tools for modern applications, but unlocking their full potential requires a deep understanding of architecture, operational patterns, and tuning best practices. This MongoDB book takes a hands-on approach to diagnosing common performance issues and applying proven optimization strategies from schema design and indexing to storage engine tuning and resource management.Whether you're optimizing a single replica set or scaling a sharded cluster, this book provides the tools to maximize deployment performance. Its modular chapters let you explore query optimization, connection management, and monitoring or follow a complete learning path to build a rock-solid performance foundation. With real-world case studies, code examples, and proven best practices, you'll be ready to troubleshoot bottlenecks, scale efficiently, and keep MongoDB running at peak performance in even the most demanding production environments.What You Will Learn: - Diagnose and resolve common performance bottlenecks in deployments- Design schemas and indexes that maximize throughput and efficiency- Tune the WiredTiger storage engine and manage system resources for peak performance- Leverage sharding and replication to scale and ensure uptime- Monitor, debug, and maintain deployments proactively to prevent issues- Improve application responsiveness through client driver configurationWho this book is for: This book is for developers, database administrators, system architects, and DevOps engineers focused on performance optimization of MongoDB. Whether you're building high-throughput applications, managing deployments in production, or scaling distributed systems, you'll gain actionable insights. Basic knowledge of MongoDB is assumed, with chapters designed progressively to support learners at all levels.Table of Contents- Systems and MongoDB Architecture- Schema Design for Performance- Indexes- Aggregations- Replication- Sharding- Storage Engines- Change Streams- Transactions- Client Libraries- Managing Connections and Network Performance- Advanced Query and Indexing Concepts- Operating Systems and System Resources- Monitoring and Observability- Debugging Performance Issues
MongoDB Essentials
Get started fast with MongoDB architecture, core operations, and AI-powered tools for building intelligent applicationsKey Features: - Quickly grasp the MongoDB architecture and distributed design principles- Learn practical data modeling, CRUD operations, and aggregation techniques- Explore AI-enabled tools for building intelligent applications with MongoDB- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Modern applications demand flexibility, speed, and intelligence, and MongoDB delivers all three. This mini guide wastes no time, offering a concise, practical introduction to handling data flexibly and efficiently with MongoDB. MongoDB Essentials helps developers, architects, database administrators, and decision makers get started quickly and confidently.The book introduces MongoDB's core principles, from the document data model to its distributed architecture, including replica sets and sharding. It then helps you build hands-on skills such as installing MongoDB, designing effective data schemas, performing CRUD operations, and working with the aggregation pipeline. You'll discover performance tips along the way and learn how AI-enhanced tools like Atlas Search and Atlas Vector Search power intelligent application development.With clear explanations and a practical approach, this book gives you the foundation and skills you need to start working with MongoDB right away.What You Will Learn: - Understand MongoDB's document model and architecture- Set up local MongoDB deployments quickly- Design schemas tailored to application access patterns- Perform CRUD and aggregation operations efficiently- Use tools to optimize query performance and scalability- Explore AI-powered features such as Atlas Search and Atlas Vector SearchWho this book is for: This book is for anyone looking to explore MongoDB, including students, developers, system architects, managers, database administrators, and decision makers who want to familiarize themselves with what a modern database can offer. Whether you're building your first application or exploring what MongoDB can do for you, this book is the idea starting point for your MongoDB journey.Table of Contents- MongoDB Architecture- Getting Started with MongoDB- Data Modeling- CRUD Operations- Aggregation- Performance Strategies and Tools- Intelligent Applications with MongoDB
