This exploratory study maps artificial intelligence (AI)-related curriculum visibility in selected ASEAN Library and Information Science (LIS) program records through public-document curriculum mapping, descriptive frequency analysis, and thematic coding. It is framed as an exploratory pilot study rather than a census or ranking of ASEAN LIS programs. Using 18 publicly available program records and 25 course-level or course-like curriculum signals from eight ASEAN countries, the study distinguishes explicit AI/ML integration from data-digital-analytics pathways and foundational ICT/information-systems preparation. It also compares visible curriculum signals with selected AI literacy and LIS professional competency frameworks, while accounting for uneven public-document availability, evidence confidence, and the limits of inferring enacted curriculum from web-accessible records. Findings suggest that AI-relevant preparation is more often visible through digital libraries, information retrieval, databases, analytics, data mining, and systems work than through explicitly AI-titled curriculum. The main contribution is a transparent curriculum-visibility and competency-alignment framework that can support later verified benchmarking, syllabus-level analysis, and regional curriculum development.

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Competitive Analysis with grocery stores Trader Joe's, Whole Foods, and Sprouts.

WordPilot is an intelligent next-word prediction system that helps users type faster and more efficiently by suggesting likely words in real time. The presentation explains the underlying N-gram language model, training process, performance metrics, and the benefits of lightweight, privacy-focused predictive text technology.

Analytical flow: Category Risk → Root-Cause Split (delivery vs product) → Text Evidence → Priority Matrix → Recommendations.

This report analyzes text data from three sources (Twitter, Blogs, and News) and proceeds to build a next-word prediction algorithm using Stupid Backoff with N-Grams. The algorithm helps users type faster on mobile devices, similar to SwiftKey and Gboard.