Strategy

Strategy13 Aug 2026 · 5 min read

Approximate Value Functions and Online Planning

A handbook for solving large sequential decision problems using value-function approximation, receding-horizon control, rollouts, search, sparse sampling and Monte Carlo tree se…

Belief-State Planning: Offline, Online and Controllers

A handbook for planning when system state is uncertain, including belief-state value functions, offline and online POMDP planning, point-based methods and controller abstractions.

Collaborative Agents and Decentralised Decision Making

A handbook for coordinating multiple decision-makers with shared objectives when information is distributed, using decentralised partially observable models, communication and p…

Decision Making Under Uncertainty and Problem Framing

A handbook for framing consequential decisions when outcomes are uncertain, combining objectives, alternatives, probability models, utility, information and sequential learning.

Exploration, Exploitation and Model Learning

A handbook for balancing learning and performance in uncertain decision systems using bandit logic, model-based learning, model-free learning and controlled exploration.

Learning Probability Models: Parameters and Structure

A practical guide to estimating model parameters, Bayesian learning, non-parametric approaches, missing data and learning probabilistic model structure from evidence.

Multiagent Strategy, Games and Sequential Interaction

A practical guide to strategic interaction among multiple decision-makers using normal-form games, best responses, equilibrium concepts, repeated adaptation and Markov games.

Policy Search, Policy Gradients and Actor-Critic Methods

A practical guide to directly optimising decision policies using parameterised policy search, gradient estimation, actor-critic architectures and stable optimisation practices.

Policy Validation, Robustness and Rare Events

A handbook for evaluating decision policies, estimating performance, testing rare-event risk, measuring robustness and using adversarial scenarios before deployment.

Principles of Effective Business Strategy

A practical guide to seven strategy principles: objective, initiative, concentration, manoeuvre, coordinated action, surprise and exploitation of advantage.

Probabilistic Inference: Exact and Sampling Methods

A handbook for answering probability queries in structured models using exact inference, variable elimination, message passing and Monte Carlo sampling methods.

Probabilistic Reasoning, Distributions and Bayesian Networks

A practical introduction to probability distributions, conditional probability, independence and Bayesian networks for representing uncertainty in business decision models.

Sequential Decisions and Markov Decision Processes

A practical introduction to sequential decision problems, Markov decision processes, policies, value functions, Bellman equations and exact solution methods.

State Uncertainty, Belief Updates and Filters

A detailed guide to decision making when the true state is partially observed, including belief states, Bayesian filtering, Kalman filters, extended and unscented filters, and p…

Strategic Planning: Five Questions, Participants and Implementation

A detailed strategic-planning handbook built around five core questions, the right participants, facilitation, focused planning sessions and implementation discipline.

Strategic Thinking, Business Model Renewal and Objectives

A handbook for separating strategy from budgeting, defining strategic objectives, renewing a business model and turning long-range intent into actionable choices.

Utility, Expected Value and Value of Information

A handbook for converting uncertain outcomes into rational choices using preference models, expected utility, decision networks and value-of-information analysis.

A Brief History of AI and Its Strategic Future

Trace AI from symbolic systems to deep learning and use emerging capability themes to plan realistic business scenarios without relying on hype.

AI for Internal Operations and Quality Management

Apply AI to facility design, day-to-day operations and quality control through clear use cases, safe integration and measurable operational outcomes.

AI for Supply-Chain Networks and Digital Twins

Use AI and digital twins to improve supply-chain visibility, forecasting and scenario response while controlling data, model and execution risks.

AI Hypersegmentation and Personalisation Strategy

Design AI-enabled segmentation and personalisation using clear objectives, meaningful features, testable treatments, privacy controls and incremental measurement.

Strategy13 Aug 2026 · 10 min read

AI Workforce Impact and Transition Planning

Assess AI’s impact at task level and create a practical transition plan for augmentation, substitution, new work, reskilling and responsible change.

Algorithmic Bias: Risk Controls and Fairness Audits

Control algorithmic bias through representative data, proxy analysis, subgroup evaluation, fairness review, governance and continuous monitoring.

Building a Robust Data Pipeline for AI

Build an AI-ready data pipeline covering consistency, relevant features, missing data, bias, dataset scale, ownership and operational controls.

Building Trust-Driven Brands

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Case Study in Mismanagement

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Strategy13 Aug 2026 · 11 min read

Continuous Improvement and Mastery Through Habits

A handbook for turning habit systems into a long-term improvement cycle that combines fit, repetition, challenge, feedback, reflection and identity-based direction.

Data and Business Validation

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Decode Customer Behaviour

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Disruptive Innovation

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Strategy13 Aug 2026 · 9 min read

Five Questions in Strategic Planning

Why you set a strategy and how you build one — the four reasons to plan and the five sequential questions (where am I now, how did I get here, where do I want to be, how do I ge…

From AI Ideas to Action: Business Strategy Implementation Playbook

Move from AI ideas to governed implementation using opportunity selection, data readiness, experimentation, operating-model design and responsible scaling.

Gamification in Business

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How Google Used AI to Create User Value: A Strategy Case Study

Study three historically grounded Google AI applications and extract a reusable framework for linking AI capability to customer and business value.

How to Build an Immortal Business

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Idea to Business

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In-House vs Outsourcing for Manufacturing

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Industry Associations to Benefit Business

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Machine Decision-Making and Moral Dilemmas

Govern autonomous and AI-assisted decisions by defining authority, values, risk boundaries, escalation, contestability and multidisciplinary oversight.

Machine-Learning Methods: A Business Selection Guide

Choose among supervised, unsupervised and reinforcement learning by matching the learning signal, decision structure and available evidence to the business task.

Market Disruption Through Product Focus

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Porter's Five Forces Model

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Product Innovation

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Strategy13 Aug 2026 · 10 min read

Responsible AI in Human Resource Management

Use AI responsibly across recruitment, learning, performance and promotion with human review, fairness testing, privacy controls and appeal pathways.

Storytelling in Business

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Strategies to Make a Retail Business Successful

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Strategy13 Aug 2026 · 9 min read

Strategy Lessons from Alexander the Great

How a 331 BC battlefield became the finest masterclass in business strategy — objective, concentration of force, surprise and decisive execution, told through Alexander at Gauga…