In this week's episode, we discuss the impact of bad data on AI, highlighting the definition of bad data, examples of bad data in AI, and the risks and challenges associated with bad data.

The conversation delves into the challenges and implications of AI in decision-making, the impact of bias in AI applications, the technical hurdles in AI implementation, the importance of data structure in AI transformation, and the concept of setting guardrails for AI systems.

Takeaways

• AI Tool Preference
• Data Quality and AI
• AI as a Managerial Tool AI and bias
• Data structure and AI
• Friction in AI systems

Chapters

• 00:00 Introduction and Chat GPT Subscription
• 13:36 The Impact of Bad Data on AI
• 26:23 Data Quality and AI Implementation
• 50:57 Understanding 'Whale' in Finance