Bad data in, bad results out

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. TakeawaysAI Tool PreferenceData Quality and AIAI as a Managerial Tool AI and biasData structure and AIFriction in AI systemsChapters00:00 Introduction and Chat GPT Subscription13:36 The Impact of Bad Data on AI26:23 Data Quality and AI Implementation50:57 Understanding 'Whale' in Finance