Operations Management

This book gives senior technology leaders a practical operating system for enterprise AI strategy. It turns scattered pilots into a board-ready plan by walking through strategy, economics, vendor decisions, ownership, governance, GenAI architecture, and roadmap assembly: AI Platform Scorecard, Use-Case Prioritization Matrix, Budget Model + Cost Guardrails, Vendor Decision Framework, RACI Matrix.

AI is becoming part of everyday professional work. This practical, non-technical handbook will show you how to use it effectively to save time, improve the quality of your work, make better-informed decisions, and get more done. Learn what AI does well, where human judgement matters, and how to work confidently with AI in the real world.

A practical, source-labelled guide to the EU CBAM definitive regime: from the installation fence to the certificate bill.

Find the admin tasks that keep breaking your workday, decide which are safe to streamline, and build up to three no-code workflows with practical tests and stop rules. Includes templates for tracking time, costs, failures, and 90-day maintenance.

Build the practical skills to run better stores, serve customers, control inventory, improve profitability, and lead retail teams with confidence.

Master Operations Research Through Concepts, Techniques, and Practical Problem-SolvingLearn Linear Programming, Simplex Methods, Transportation, Assignment, TSP, Network Analysis, CPM, PERT, Queuing Theory, Game Theory, and Sequencing through structured explanations, numerical examples, and step-by-step problem-solving techniques.

Build a quality management system that works in the real world. This practical guide to ISO 9001:2015 takes you from the basics through implementation, certification and continual improvement, with clear explanations, practical examples and guidance on what the standard actually requires.

A practical workbook for small teams preparing a CRM contact import: map fields, review possible duplicates, preserve source records, rehearse a test batch, and plan recovery.

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.

Git is much bigger than GitHub. This practical guide explores self-hosted platforms, decentralized approaches, secure operations and CI/CD beyond the usual defaults. Learn how to design, deploy and run independent Git infrastructure for real-world engineering, enterprise and regulated environments.

The first ITIL®-aligned practice guide to structure Customer Success as a complete organisational capability. It brings comprehensive IT service management thinking into CS, integrating governance, processes, people, information, technology, partners, and continual improvement into a coherent operating model, with practical methods and tools to design, govern, assess, and improve it.

A practical implementation framework covering 22 essential data center operational domains. Assess gaps, establish priorities and build a controlled improvement roadmap.

Build optimization models that remain useful when forecasts are wrong. This practical guide connects uncertainty sets, robust counterparts, duality, budgets of uncertainty, and modern distributionally robust optimization with real operational applications and implementation advice.

Cyber threats do not stop at the office network. When industrial systems are targeted, the consequences can reach far beyond lost data. This practical guide shows how to secure OT and critical infrastructure from the ground up, combining proven standards, real-world defenses and hands-on guidance for the systems that keep the world running.

La IA no toma decisiones: traduce el criterio del profesional que conoce su organización. Primero es el criterio. Hasta después es la herramienta.