Centre for AI Studies

Synthesising AI adoption, business outcomes, and organizational changes across industries.
Curating AI knowledge into understanding.

Knowledge Synthesis
Curated Insights
Open Access

Featured Resources

Practical guides and interactive tools to help you make data-driven decisions.

Statistical Tests

A comprehensive guide to choosing the right statistical test. Interactive fishbone diagram to navigate parametric vs non-parametric options.

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Privacy Scanner

Detect and redact personally identifiable information (PII) from text and files. Supports 30+ PII types including emails, SSN, API keys.

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Exploratory Data Analysis

Exploratory data analysis using the Gapminder dataset. Learn data wrangling, visualization, and insights extraction.

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Our Programs

Blended Learning

Interactive Workshops

Hands-on sessions combining theoretical concepts with practical AI applications for business teams.

Online Courses

Self-paced learning modules covering AI fundamentals, implementation strategies, and ROI measurement.

Case Study Analysis

Real-world AI adoption scenarios with detailed analysis of challenges, solutions, and outcomes.

Change Management

Organizational Assessment

Evaluate your organization's AI readiness and identify key areas for transformation.

Stakeholder Alignment

Build consensus across departments and ensure leadership buy-in for AI initiatives.

Implementation Roadmap

Structured approach to rolling out AI solutions with minimal disruption to operations.

Training & Development

Upskill teams with targeted training programs for effective AI adoption and usage.

Qualitative Research

Adoption Metrics

Real-world AI deployment data across industries

Bias Perceptions

LLM inference, training, and operational costs

Outcome Studies

Impact assessments and ROI analysis

Use Case Index

Categorized AI applications by function