- Managing and Organising AI Talent
- Data Strategy for enabling Data-Centric AI
- Explainable AI and AI-Alignment
- On Building Data Products
- Competing in a Data-Driven World
- Data Science Maturity Model: A Primer
- Is Machine learning the right tool for your problem?
- Embarking on an AI transformation Journey
- Navigating the AI Revolution: Building Long-term Strategies and Defensible Moats
- Data Science Maturity Model: A Primer
- Generative AI and Future of HealthCare
- AI Ethics and Augmented Intelligence
- Optimising healthcare treatment careflows with Process Mining
- Fundamental of Business Process Analytics
- Data-Driven Business Process Optimization
- Future of Data Driven Process Optimisation
- Combing Boolean satisfiability and Adversarial Search
- Robotic Process Automation from Process Analytics Perspective
- Lessons from the design thinking framework
- How Innovation works?
- Understanding Explore vs Exploit Dilemma in Online decision-making
- Three Pillers of Reinforcement Learning
- MLOps: A lifecycle for Data Management
- Beyond simulation, applying RL in real world: Challenges and Opportunities
- Counter-factual Policy Evaluation
- History of Deep Learning
- A long introduction to Machine Learning
- Understanding Generalisation in Machine Learning
- Strategies for preventing Model overfitting
- On Curse of Dimensionality
- Collaborative Filtering Tutorial
- What is the bias-variance tradeoff?
- Tips for Exploratory Data Analysis
- Artificial General Intelligence: Are we there yet?
- Elaborating Scalability Requirements of Large Scale Systems
- Can Software be Engineered?