Role-Based Programme
RB1090
AI for Market & Competitive Intelligence
Strategic Research, Competitor Analysis & Decision Support
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop practical AI capabilities for market research, competitive intelligence, strategic monitoring, and business decision support.
- Apply AI to analyse industries, competitors, customers, technologies, partnerships, investments, and emerging market signals.
- Use AI to improve competitor profiling, benchmarking, trend identification, opportunity assessment, and strategic interpretation.
- Transform large volumes of market information into structured intelligence briefs, management insights, and decision-ready recommendations.
- Apply responsible AI practices related to source validation, confidentiality, bias, misinformation, assumptions, and human verification.
Tools covered
Generative AI AssistantsAI Search & ResearchWeb ResearchDocument AnalysisMarket IntelligenceCompetitive IntelligenceData AnalysisStrategic BenchmarkingTrend AnalysisScenario AnalysisExecutive SummarisationPresentation Tools
Who should attend
- Market Intelligence Professionals
- Competitive Intelligence Professionals
- Strategy Analysts
- Business Intelligence Professionals
- Corporate Strategy Professionals
- Market Research Managers
- Competitive Research Analysts
- Business Analysts
- Industry Research Professionals
- Strategic Planning Professionals
- Growth Strategy Professionals
- Corporate Development Professionals
- Product Strategy Professionals
- Business Development Professionals
- Senior Research Professionals
Prerequisites & Participant Readiness
- Experience in strategy, market research, competitive intelligence, business analysis, or planning
- Familiarity with market reports, competitor information, and strategic research
- Basic familiarity with Generative AI tools is recommended
- Ability to interpret business and market information
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, reasoning models, AI search, and research assistants
- Exploring AI applications across market research, competitor analysis, monitoring, and synthesis
- Understanding the difference between search, research, intelligence, and strategic interpretation
- Recognising hallucinations, outdated information, source gaps, and incomplete context
Practical activities
- Mapping Market & Competitive Intelligence activities to AI applications
- Identifying high-value AI use cases across the intelligence cycle
- Comparing traditional and AI-assisted research workflows
Scenarios
Competitor Expansion Intelligence
Competitor Signals → Source Verification → Market Context → Capability Analysis → Strategic Intent Hypotheses → Business Implications → Response Options → Executive Brief
Participants use AI to analyse multiple verified competitor developments, identify plausible strategic implications, and prepare a decision-ready intelligence brief without overstating unverified intent.
New Market Opportunity & Competitive Landscape
Market Research → Demand Signals → Industry Structure → Competitor Mapping → White-Space Analysis → Opportunity Assessment → Scenario Analysis → Strategic Recommendation
Participants use AI to evaluate a potential new market, analyse competitive intensity and customer signals, identify opportunity spaces, and prepare a structured recommendation for management review.
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Instructor-ledVirtualHybrid
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