Professor Alvin's Recommendation for Further Learning: Module 2

  1.  Module 2: Introduction and Instructions (Completed)
  2.  Video 1 [06:05] : Module Introduction (Completed)
  3.  Watch: Seeing Beyond Vision: How Agentic AI is Expanding Human Possibility (Completed)
  4.  Video 2 [07:33] : Multimodal AI and Everyday Impact (Completed)
  5.  Reading: The AI Hype Detector (Completed)
  6.  Watch: AI with Purpose: Technology That Strengthens Human Connection (Completed)
  7.  Watch: The Future of Learning: AI-Powered Tutoring (Completed)
  8.  Video 3 [04:21]: Building Brand Trust and Education at Scale (Completed)
  9.  Self-Study Quiz 2.1: Think & Apply💡 Understanding the AI Inflection Point ((Must submit the Quiz))
  10.  Video 4 [05:01] : Case Study: Moderna (Completed)
  11.  Video 5 [04:20] : Case Study: Oscar (Completed)
  12.  Video 6 [04:29] : Case Study: Morgan Stanley (Completed)
  13.  Video 7 [06:18] : Case Study: Mastercard (Completed)
  14.  Video 8 [05:18] : Gen AI Ecosystem (Completed)
  15.  Self-Study Quiz 2.2: Think & Apply💡 Enterprise AI in Action ((Must submit the Quiz))
  16.  Video 9 [11:09] : Notebook LM: Demo (Completed)
  17.  Discussion Board 2.3: Think & Share💡 AI Transformation or AI Hype? ((Not yet completed))
  18.  Self-Study Assignment 2.4: Think & Act💡 Problem First Thinking (Completed)
  20.  Self Study Assignment 2.5: Think & Act💡 The Decision Pathway (Completed)
  21.  Summary and Video Transcripts: Module 2 ⭐ (Completed)
  22.  Professor Alvin's Recommendation for Further Learning: Module 2 (Completed)
  23.  Module 2: Q&A Discussion Board ((Not yet completed))
  24.  Module 2: Feedback Survey ((Must submit the Quiz))

Alvin NG Theng Haw.jpg Professor Alvin's Recommended Readings

1. The state of enterprise AI

As AI adoption accelerates across industries, many organisations are moving from experimentation to enterprise-wide transformation. This report explores how companies are integrating AI into workflows, decision-making, productivity, and customer experiences at scale. It also reveals a critical tension: while AI capabilities are advancing rapidly, organisational readiness, governance, and workforce adaptation are still catching up. Through real enterprise insights and emerging trends, the report challenges leaders to think beyond tools and focus on long-term strategic impact. As you read, consider this: Is your organisation truly prepared for AI transformation — or simply reacting to the pressure to innovate?

Read the complete article: The state of enterprise AILinks to an external site.

 Links to an external site.2. The state of AI in 2025: Agents, innovation, and transformation

As organisations race to adopt AI, many are discovering that scaling AI successfully is far more complex than launching pilots or experimenting with tools. This McKinsey report explores how enterprises are navigating the next phase of AI transformation — from AI agents and automation to operational maturity and business value realisation. It highlights the growing gap between experimentation and enterprise-wide readiness, revealing what separates organisations that are creating measurable impact from those still struggling to scale. As you read, reflect on your own organisation’s AI journey: Are your AI initiatives creating strategic value, or are they still operating as isolated experiments?

Read the complete blog: The state of AI in 2025: Agents, innovation, and transformation

3. AI isn’t failing; your enterprise systems are

AI is often portrayed as the solution to every business problem — but what if the real issue isn’t the technology at all? This article takes a provocative look at why many AI initiatives struggle, arguing that outdated systems, fragmented workflows, unclear ownership, and weak governance are often the true barriers to success. It challenges the assumption that simply adopting AI leads to transformation and instead asks leaders to confront a tougher question: Is your organisation structurally ready for AI? As you read, think about whether AI failures are really technology failures — or signs of deeper organisational gaps that companies have ignored for years.

Read the complete blog:  AI isn’t failing; your enterprise systems are