Books

Answered sounds like it worked. Twice, it didn't. This book measures exactly where six seconds of silence goes in a real phone call, and does not stop measuring for the next thirty-four chapters.

AI can analyze the data. But who decides what the data means—and what to do next?Modern organizations have more information than ever, yet making good decisions remains difficult.AI-Powered Smart Decision Making shows how to combine AI, data, analytics, and human judgment to turn information into insight and insight into action.Discover a practical framework for making better decisions across strategy, marketing, sales, operations, finance, risk, and beyond.AI is not the decision. AI improves the decision process. Table of ContentsIntroduction—The New Era of AI-Powered Decision MakingChapter 1 — The Foundations of Better Business DecisionsChapter 2 — From Intuition to Data-Driven Decision MakingChapter 3 — Understanding Data for Better DecisionsChapter 4 — Business Analytics: Turning Data into InsightChapter 5 — How AI Changes Business Decision MakingChapter 6 — Building an AI-Powered Decision FrameworkChapter 7 — Asking the Right Questions: AI, Data & Decision ProblemsChapter 8 — Predictive Decision MakingChapter 9 — Prescriptive Analytics and Decision OptimizationChapter 10 — AI for Strategic Business DecisionsChapter 11 — AI for Marketing and Customer DecisionsChapter 12 — AI for Sales, Operations and Supply ChainChapter 13 — AI for Financial and Risk DecisionsChapter 14 — Human + AI: The New Decision-Making PartnershipChapter 15 — Bias, Uncertainty and the Limits of AI DecisionsChapter 16 — Trustworthy, Responsible and Explainable AI DecisionsChapter 17 — Measuring Decision Quality and Business ImpactChapter 18 — Building an AI-Powered Decision CultureChapter 19 — Designing an AI-Powered Decision SystemChapter 20 — The Future of Smart Decision MakingConclusion — From Data to Better DecisionsDisclaimer

AI can decide. That does not mean it is authorized to act. Governance Before Decision examines the missing control layer between intelligent systems and real-world consequences — where authority, scope, verification, and execution must meet.

You don't need to code AI to understand its impact.Thinking Beyond Code: A Human’s Guide to Artificial Intelligence takes readers beyond algorithms and programming to explore the questions that matter most in an AI-powered world.How do machines learn? Can AI really think? Can machines be creative? What happens to jobs when automation expands? Who is responsible when an AI system makes a decision? Can AI-generated content change our understanding of truth? And what might happen if increasingly capable AI systems become part of everyday human life?From machine learning and neural networks to creativity, ethics, employment, deepfakes, AGI, and human-AI collaboration, this book offers an accessible journey through the technology and the human questions surrounding it.Understand the technology. Question the assumptions. Think beyond the code.

Discover the algorithms behind intelligent machines.Artificial Intelligence: Algorithms and Applications Unveiled takes readers from the fundamental concepts of AI to the algorithms and applications shaping modern technology. Explore machine learning, neural networks, deep learning, natural language processing, computer vision, robotics, healthcare, finance, business intelligence, and more.Designed to connect theory with practical understanding, the book explains how AI algorithms work, where they can be applied, and what challenges must be considered when building intelligent systems.From learning algorithms to responsible AI, this book provides a structured pathway for students, developers, researchers, educators, and technology professionals who want to understand the rapidly evolving world of Artificial Intelligence.Learn the algorithms. Understand the applications. Think intelligently about AI.

What happens when AI moves beyond answering questions and begins to pursue goals?Agentic AI: The Rise of Autonomous, Goal-Driven Intelligence explores the emerging world of intelligent systems that can perceive, reason, plan, learn, collaborate, and act within defined environments.From the foundations of autonomous agents and multi-agent systems to robotics, finance, logistics, security, ethics, and future research, this book provides a structured journey through the rapidly evolving landscape of Agentic AI.Discover how goal-driven intelligence works, how autonomous agents make decisions, how multiple agents collaborate, and why safety, trust, accountability, and human oversight are essential to the future of autonomous systems.Understand the agents. Explore the architectures. Examine the applications. Think about the future.

Master AI/ML System Design with a Structured Interview FrameworkLearn how to approach complex ML system design interviews using a 20-step framework, architecture blueprints, real-world case studies, scalability strategies, data and model pipelines, deployment patterns, monitoring, and interview-ready templates.

Build Smarter Chatbots and Voice AssistantsExplore Conversational AI from fundamentals to real-world applications. Learn NLP, intent and context management, intelligent chatbots, voice assistants, speech technologies, multimodal interfaces, APIs, deployment, business integration, analytics, ethics, LLMs, and Generative AI.

Secure AI. Understand the Threats. Build More Trustworthy Intelligent Systems.Explore adversarial attacks, data poisoning, model theft, AI-enabled cyber threats, secure AI development, adversarial defenses, trustworthy AI, MLOps security, governance, privacy, red teaming, and the future of AI cybersecurity through practical concepts and real-world case studies.

Build, Train, Optimize, Secure, and Deploy Large Language Models Under Full Infrastructure ControlLarge language models are increasingly treated as hosted services, but organizations seeking genuine control over their AI capabilities must understand and engineer the infrastructure behind them. Data ownership, compute resources, model weights, training pipelines, inference runtimes, security boundaries, and operational telemetry all contribute to the independence and reliability of an AI system.

Explore the Future of AI-Powered RoboticsDiscover how Artificial Intelligence is transforming robots into intelligent machines capable of learning, seeing, communicating, navigating, and making decisions. Explore Machine Learning, Computer Vision, NLP, Deep Learning, autonomous systems, smart factories, healthcare robots, drones, humanoids, agricultural robotics, ethics, and future trends.

An AI agent on your site today guesses which button to click. WebMCP lets your page hand it a list of things it can do instead. Build one small shop, run the code as you go, and learn where the API is solid, where it isn't, and how to ship it anyway.

AI is no longer just a technology experiment.It is becoming part of how businesses communicate, process information, serve customers, manage workflows, analyze data, and make decisions.But where should AI actually be used?AI-Driven Operations provides a practical roadmap for answering that question.Discover how to:Find the right processes to automateTurn manual workflows into intelligent workflowsUse AI agents responsiblyConnect AI with business systemsReduce operational costsMeasure real business valueProtect data and maintain human oversightScale successful AI initiativesThe future of business is not about using the most AI.It is about using AI intelligently.

AI now drafts the charter, builds the schedule, and writes the status report. The project lifecycle was not designed for that. The AI-Native Project Manager gives working project managers a redesigned lifecycle, the Governed Loop: five phases, three human checks, and an Autonomy Dial for deciding how much the machine does. Practical, sourced, and written by a PMP who runs multi-team programs for a living.

GPT-6 Astra changes the way prompting works. This practical guide explains what makes it different, why old techniques can fail and how to write prompts that deliver reliable results. Learn how to build, refine and troubleshoot prompts while finding the right balance between control and autonomy.