Keep your PALS on track! 👣
These guides help you navigate AI conversations effectively, breaking down complex topics into manageable steps.
They ensure you're hitting key learning objectives while keeping discussions productive and on track.
1.1 - Data-Information-Knowledge Continuum 🧠
📊 Process Data (Find Meaning)
•What does your data show?
•What patterns matter?
•What story does it tell?
💡 Get Insights (Take Action)
•What did you learn?
•What should you do?
•Why do it now?
🎯 Think Ahead (Plan Smart)
•How will this help you win?
•What could go wrong?
•How will you fix it?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
1.2 - Ethical Guidelines for MIS 🧭
🔍 Find Issues (Start Here)
•What ethics matter most?
•Why these issues?
•How do they affect you?
📝 Make Rules (Plan Ahead)
•What principles to follow?
•How to put them in action?
•What might go wrong?
✨ Test Them Out (Try Scenarios)
•How do rules apply?
•Do they really work?
•What needs to change?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
2 - Capitalizing on Disruptive Innovation 💡
🔍 Industry Check (Look Around)
•What's happening now?
•Where could AI help?
•What problems exist?
💡 Your Plan (Stand Out)
•How will you use AI?
•What makes you different?
•How will you handle risks?
💰 The Pitch (Convince Them)
•Why you'll succeed?
•Why invest now?
•Why trust your team?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
3 - Invent a Device 🔧
💭 Think Big (Ideas & Purpose)
•What problems need solving?
•Which idea helps most?
•Why is it important?
⚙️ Plan It Out (Features & Users)
•What should it do?
•Who will use it?
•How will it fit in?
🎨 Make It Real (Design & Challenges)
•What will it look like?
•What could go wrong?
•How will you fix it?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
4 - Managing Your Company's Data 🗄️
📝 Data Check (What You Have)
•What data do you need?
•How is it structured?
•How will you track it?
💽 System Choice (How to Store)
•Which database type fits?
•What should it include?
•When to add a warehouse?
🔄 Future Plan (What's Next)
•Which new tech helps?
•What training is needed?
•What might go wrong?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
5.1 - Visualizing Data with Dashboard 👁️
📊 Create Dashboard (Get Started)
•Save your data files
•Upload to Tableau Public
•Build your visualizations
🔍 Find Patterns (Look Closer)
•What do finances show?
•What's happening in HR?
•How's the supply chain?
💡 Share Insights (Tell the Story)
•What trends matter most?
•What do they mean?
•What should change?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
5.2 - Developing CRM GPT 💬
🧪 Test ChatGPT (Base Model)
•Try each test scenario
•Be a demanding customer
•Save conversation links
📝 Check Results (How It Did)
•Was it accurate?
•Did it show empathy?
•Could it solve problems?
✨ Make It Better (Instructions)
•What rules should it follow?
•How should it handle problems?
•What should it never do?
✨ Extra Credit: Build your own CRM-GPT using your custom instructions! ✨
Remember: If your PAL gets too complex, just ask them to simplify things for you!
6.1 - Digital Presence Audit 📱
🌐 Website Check (Score & Review)
•How is their site organized?
•How easy is it to use?
•Can everyone access it?
📱 Social & Apps (Compare Tools)
•What's their social media like?
•How do they engage people?
•What app features work best?
✅ Make Lists (Plan Ahead)
•What should you copy?
•What should you avoid?
•What needs improving?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
6.2 - Digital Problem Solving 🧩
🔍 Problem Check (Understand First)
•What's the main challenge?
•Who does it affect?
•Why does it matter?
💡 Solution Design (Choose & Plan)
•Which technology fits best?
•How will it work?
•What makes it special?
📊 Reality Check (Costs & Risks)
•What will it cost?
•What could go wrong?
•How will you handle problems?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
7.1 - Hands-on Forecasting 🔮
📊 Data Study (First Look)
•What patterns do you notice?
•What might cause these patterns?
•Which parts seem unusual?
🔢 Run Methods (Excel Work)
•Calculate moving averages
•Try exponential smoothing
•Find your Z-scores
📈 Make Predictions (Use Results)
•What do your methods show?
•What might happen next?
•How will this affect business?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
7.2 - Spot the Bias 🔍
👀 First Look (Three Datasets)
•What do you notice in each region?
•What might this mean?
•What actions would you take?
🔍 Find Biases (Three Types)
•Where's confirmation bias?
•Where's recency bias?
•Where's sampling bias?
🤔 Think Again (New Views)
•How do biases change your view?
•What's a better interpretation?
•What's the real story?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
8 - Emulating Company Culture 🌱
🔍 Research Phase (Culture & Challenges)
•What makes your company culture special?
•Which parts get harder remotely?
•What needs to stay the same?
💻 Tech Solutions (Tools & Plans)
•What tools could help?
•How would people use them?
•What might go wrong?
🎤 Pitch Perfect (Get Feedback)
•Share your draft with the VC
•Listen to their concerns
•Make your plan stronger
Remember: If your PAL gets too complex, just ask them to simplify things for you!
9 - Knowledge Management & e-Learning 📚
🧠 Company Knowledge (What You Have)
•What do your employees know?
•How is knowledge stored?
•How do you work with customers?
📝 Knowledge Plan (How to Share)
•How will you capture knowledge?
•What might stop people from sharing?
•Which learning tools fit your company?
📊 Learning Design (Making It Work)
•How will people learn?
•How will you track progress?
•What needs to change if it's not working?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
10 - Ethical Review of AI 🤖
🤔 Ethics Check (Basics & Issues)
•What makes something ethical in tech?
•Who might your AI affect?
•What could go wrong?
🔒 Protection Plan (Privacy & Safety)
•How will you protect data?
•What could people misuse?
•How will you prevent problems?
👥 Moving Forward (Making It Last)
•How will you keep checking for issues?
•Who needs to be involved?
•What needs regular review?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
11.1 - Agile T-shirt Design 👕
🎯 Project Setup (Values & Needs)
•What makes Agile different?
•What does each team want?
•Which needs matter most?
🔄 Design Sprints (Build & Change)
•What's your simple first design?
•How can you use the feedback?
•What needs one final touch?
📝 Look Back (What You Learned)
•How did the process work?
•What made Agile better?
•What would you do differently?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
11.2 - Make-or-Buy? ⚖️
📋 Review Tables (All Systems)
•What do the SCM options show?
•What do the collaboration options show?
•What do the ERP options show?
✅ Make Choices (Pick Options)
•Which SCM option fits better?
•Which collaboration option fits better?
•Which ERP option fits better?
👥 Consider People (Final Check)
•How do people affect these choices?
•What roles do they play?
•How does this change your decisions?
Remember: If your PAL gets too complex, just ask them to simplify things for you!
12 - Strategic Project Planning 🎯
📋 Project Setup (Goals & Limits)
•What are your project goals?
•What's your time and budget?
•What's in and what's out?
📈 Management Plan (Steps & Tools)
•How will you handle each process?
•Which software will help most?
•What could help or hurt success?
🎯 Strategy Check (Plans & People)
•Which issues need attention?
•What strategies will you use?
•How will you manage change?
Remember: If your PAL gets too complex, just ask them to simplify things for you!