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Training Courses

AI in Decision Intelligence - Leading with Data-Driven Foresight

Course Code
ML39
Category
MANAGEMENT AND LEADERSHIP
Course ID
2248
Course Outline
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Course Overview

  • Step confidently into the future with AI-augmented foresight. This program empowers executives to integrate predictive analytics, causal modeling, and real-time data into strategic decision processes. Participants learn to anticipate market shifts, simulate scenarios, and make confident, responsible choices—all supported by global best practices and emerging governance frameworks. Walk away with a playbook for transforming complexity into clarity and competitive advantage.

    TRAINING TOPICS

    • Foundations of Decision Intelligence: blending AI, behavioral science, and predictive modeling
    • Data-driven foresight: anticipating trends through algorithms & horizon scanning
    • Prescriptive analytics & AI agents in decision workflows
    • Integrating causal AI for robust scenario planning
    • Real-time signals: dashboards, sensor data, and streaming insights
    • AI governance & ethical foresight frameworks
    • Cross-functional collaboration: democratizing foresight tools
    • Global signals systems: peace‑tech, climate, supply‑chain alerts
    • Embedding foresight into enterprise strategy: insights to action

    BY THE END OF THIS TRAINING, DELEGATES WILL BE ABLE TO

    • Explain the core principles of decision intelligence and its enterprise impact
    • Build data-driven foresight systems that leverage predictive and causal analytics
    • Design real-time dashboards to monitor weak signals, trends, and risks
    • Initiate prescriptive AI workflows with governance and ethical guardrails
    • Facilitate cross-functional collaboration using accessible foresight tools
    • Apply causal models in scenario planning to reduce bias and uncertainty
    • Deploy global signal intelligence systems in contexts like peace-tech and climate monitoring

    TRAINING IS TAILORED TO

    • C-level executives and senior leaders guiding strategic planning
    • Heads of strategy, data science, innovation, and risk functions
    • Transformation leads and program managers overseeing AI adoption
    • Policy and governance professionals building ethical foresight frameworks

    TRAINING METHODOLOGY

    Hands-on labs (horizon scanning, causal modeling), generative foresight simulation, group scenario planning, governance ethics roundtables, decision co-pilot demos, and peer case clinics.

    Day One: Foundations & Foresight Mindset

    • Introducing Decision Intelligence: AI, data & behavioral science
    • Data-driven foresight explained: insights from Fraunhofer & horizon scanning
    • Case clinics: global4Sight signal intelligence
    • Volunteer lab: horizon scan of emerging signals
    • Guidelines: anticipatory governance in practice

    Day Two: Predictive, Prescriptive & Causal AI

    • Prescriptive AI agents in decision flows
    • Introduction to causal AI methods
    • Workshop: build a causal model for a strategic challenge
    • Generative foresight chatbot demo
    • Scenario simulation: test multiple futures & outcomes

    Day Three: Real-Time Signals & Monitoring

    • eep dive: ensemble forecasts & real-time alerts
    • Build‑your‑own dashboard using streaming data
    • Role-play: act on early signals vs action delays
    • Group exercise: map signal-to-decision pathways

    Day Four: Governance, Ethics & Collaboration

    • AI governance: frameworks, international norms & ethics
    • Ethical foresight: fairness, transparency, oversight
    • Collaboration session: democratizing foresight tools enterprise-wide
    • Panel: gov’t & corporate foresight ethics leaders

    Day Five: Strategic Integration & Signal Launch

    • Peace-tech and global signals in the enterprise
    • Case study: Netflix’s predictive content decisions
    • Capstone: design & pitch a foresight system
    • Peer feedback session and strategic roadmap creation

Course Schedule

Discounts and Registration

Group & Corporate Discounts:
Available for companies enrolling multiple participants to help maximize ROI.
Individual Discounts:
Offered to self-sponsored participants who pay in full and upfront.
Registration Process:
Corporate nominations must go through the client’s HR or Training department.
Self-nominations must be prepaid via the “payment by self” option.
Confirmation:
All registrations are subject to DIXONTECH’s approval and seat availability.
Refunds:
Provided in case of course cancellation or no seat availability.
Tax Responsibility:
Clients are responsible for any local taxes in their country.