1. Learning
2. Project Management
2.1. Project Team
2.2. Project Scope
2.2.1. Phase 1
2.2.2. Phase 2
2.2.3. Phase 3
2.3. Project Schedule
3. Company Introduction
3.1. MAS Project
3.1.1. FID
3.1.1.1. Search
3.2. Company Track Record
3.2.1. MOM
3.2.1.1. Search
3.2.2. MCI
3.2.2.1. Personalisation
3.2.3. CWP
3.2.3.1. Sitecore In-Depth
3.2.3.1.1. Explain Auto-Scaling Issues
3.2.3.1.2. Automated Deployments
4. Technical Competence
4.1. Sitecore
4.1.1. Short Codes
4.1.2. Personalisation
4.1.2.1. Complexity
4.1.2.2. Approaches
4.1.2.2.1. Tag by IA
4.1.2.2.2. Tag by AI
4.1.2.3. Possibility of In Context
4.1.2.3.1. After Subscribing to Newsletter
4.1.2.3.2. Linking to ChatBot
4.1.3. Disaster Recovery
4.1.3.1. Full Html Website
4.1.3.2. BCP Website
4.1.4. HotJar Analytics
4.2. Search
4.2.1. Auto Suggest
4.2.1.1. Part 1
4.2.1.1.1. Search Frequency Based
4.2.1.2. Part 2
4.2.1.2.1. Content Based
4.2.2. Analysing
4.2.2.1. Query
4.2.2.1.1. Nobody clicks
4.2.2.1.2. Results Found
4.2.2.2. Turning
4.2.3. Relevancy
4.2.3.1. LDIF
4.2.3.2. Time-Biased
4.2.3.3. Personalisation
4.2.3.4. Title/h1/h2
4.2.4. Enhancement
4.2.4.1. Entity Extraction
4.2.5. Maintenance
4.2.5.1. Swapping of Cores
4.2.6. Crawl PDF?
4.2.7. Ngram
4.2.8. Synonyms,Spell Suggestion, Best Bets
4.2.9. Search Listing Display
4.3. Visualisation
4.3.1. Past Experience
4.3.1.1. SingStat Time Based
4.3.1.2. SingStat Dynamic Data
4.3.1.3. NEA
4.3.2. Dynamic Data
4.3.2.1. WHY?
4.3.3. MAS
4.3.3.1. Too many related charts
4.3.3.2. Linked and Related
4.3.3.3. Time Dimension
4.4. ChatBots
4.4.1. Personality
4.4.1.1. Wits of Wisdom
4.4.2. Transactional
4.4.3. Subscription
4.5. Others
4.5.1. Compare the Difference
4.6. Others
4.6.1. Compare the difference
5. Technical Design
5.1. Google Analytics
5.1.1. Capturing of Events
5.1.2. Search Statistics
5.2. IBM Watson
5.2.1. Conversation Service
5.2.2. Text to Speech
5.2.3. Entity Extraction
5.3. Amazon
5.3.1. Polly