Practical AI Use Cases for Businesses | Episode #0003

⁠Follow the SSTB Newsletter⁠.

Summary

In this episode of the Start Small Think Big podcast, the hosts discuss practical AI use cases in business, emphasizing the importance of data privacy, security, and foundational steps for implementing AI solutions. They share insights from the Microsoft AI Tour, explore automation in various industries, and highlight the significance of cross-departmental collaboration. The conversation also touches on governance and security in AI, encouraging listeners to start small and scale their AI initiatives effectively.

Keywords

AI, practical use cases, data privacy, Microsoft AI Tour, automation, construction management, manufacturing, safety, governance, collaboration

Takeaways

• AI is a buzzword, but practical use cases are essential.
• Data privacy and security are critical concerns in AI.
• Microsoft's Copilot can significantly boost productivity.
• Starting small with AI can lead to larger implementations.
• Automation can save significant time in business processes.
• Effective data collection is crucial for AI success.
• AI can enhance safety measures in manufacturing.
• Cross-departmental collaboration is vital for AI projects.
• Governance should not hinder AI implementation.
• Democratizing technology allows smaller businesses to compete.

• Unlocking Practical AI Use Cases
• Navigating Data Privacy in AI

• "AI is everywhere, but how do we use it?"
• "Start small, measure, and scale it."
• "Democratizing technology is our goal."

Titles

• Unlocking Practical AI Use Cases
• Navigating Data Privacy in AI

Sound Bites

• "AI is everywhere, but how do we use it?"
• "Start small, measure, and scale it."
• "Democratizing technology is our goal."

Chapters

00:00 Introduction to Practical AI Use Cases

02:34 Data Privacy and Security Concerns

05:35 Microsoft AI Tour Insights

08:29 Understanding Agentic AI

11:22 Practical AI Implementations for Business

13:55 Real-World AI Use Case in Construction Management

20:52 The Importance of Accurate Data Collection

22:13 Automation and AI in Data Management

24:55 Streamlining Data Entry with AI Agents

26:11 Calculating ROI in Project Management

27:25 Identifying Pain Points in Technology Adoption

30:14 Cross-Departmental Collaboration for Effective Solutions

32:28 AI Applications in Health and Safety

36:09 Vision Learning in Manufacturing Processes

38:33 Proactive Safety Measures with AI

41:44 Understanding AI Model Training Costs

44:48 Governance and Security in AI Implementation

46:52 Building an MVP for AI Solutions

https://lintr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.