Books

Every test you have ever written assumed the same input gives the same output. Large language models broke that assumption, and with it most of what our profession knows about verification. This is the discipline that replaces it — golden datasets, property assertions, LLM judges you can actually trust, retrieval evaluation, adversarial suites, and CI gates that let a pipeline say no to a model.

Complete Ebook + Quick Reference Guide + All 5 Project Folders (Pre-written Starter Templates + Complete Final Source Code).

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

When a slick social-media entrepreneur tries to rebrand ordinary, $12 mustard oil as an $800 mystical wellness secret, he forgets one crucial thing: the people who actually cook with it. Armed with stained recipe books, spreadsheet data, and a jury of brutally honest aunties, the chaotic household at 69 Cowper Street sets out to prove that some cultural traditions are too loud, messy, and deeply rooted to be repackaged in a luxury glass bottle.

Sixteen-year-old Nitin Borgi trades his family's treasured gold for fleeting digital validation on a dating app. As his expensive lies spiral out of control, an innocent woman takes the blame for his crimes, forcing him to face the devastating cost of his carefully crafted online persona.

Nineteen highly opinionated adults living under one roof in Parramatta are driving each other crazy with constant, unsolicited advice and rigid rules. When a quiet solution architect introduces a radical new philosophy—letting people suffer the hilarious consequences of their own harmless mistakes—the household dynamic turns upside down. Discover what happens when a chaotic domestic ecosystem learns the profound power of simply doing nothing.

Ein praxisorientiertes Handbuch für Architekten, Ingenieure und Entscheider: wie mandantenfähige SaaS-Systeme wirklich in Produktion bestehen - jenseits der Theorie.

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.

Struggling to pray consistently? THE PRAYER ALTAR reveals how to build and sustain a powerful personal altar where God meets you daily and transforms your life.

A modern, illustrated guide that explains how social media platforms evolve, why creator reach fluctuates, and how everyday users can adapt to constant algorithm changes.

Kill N+1 queries, read EXPLAIN-friendly EF patterns, and ship faster ASP.NET APIs with a dense EF Core performance cookbook.

Master the ideas behind Java concurrency, from threads, race conditions, and synchronization to CompletableFuture, virtual threads, and structured concurrency. With practical patterns, runnable examples, and a companion GitHub repository, this book helps you move from understanding concurrency to applying it in real programs.