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Contenido proporcionado por Ringmaster Conversational Marketing and Ryan Sullivan. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Ringmaster Conversational Marketing and Ryan Sullivan o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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The Power of Asking the Right Questions - Dr. Sue Tripathi - Making Better Decisions - Episode #21

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Contenido proporcionado por Ringmaster Conversational Marketing and Ryan Sullivan. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Ringmaster Conversational Marketing and Ryan Sullivan o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In this insightful episode, Dr. Sue Tripathi delves into the complexities of data utilization in businesses, emphasizing the importance of understanding which data sets are relevant to specific goals. The conversation explores how businesses can streamline their data practices to achieve more accurate and impactful outcomes. The discussion also touches on the significance of AI, including large language models, in driving operational efficiency and achieving strategic objectives. However, the conversation highlights the need for caution and ethical considerations when implementing AI solutions.

Key Takeaways:

  • Relevance Over Quantity: Focus on identifying the most relevant data sets rather than trying to analyze all available data. Understanding the purpose behind data collection is crucial for effective decision-making.
  • Goal-Driven Data Utilization: Before diving into data analysis, it’s essential to define the goals and objectives clearly. This helps in selecting the appropriate data sets and avoiding partial insights that lead to incomplete outcomes.
  • Simplicity in Approach: Start small with pilot projects to test the validity and reliability of data before scaling up. This approach helps in managing resources effectively and avoids overwhelming the organization.
  • SMART Goals: Use SMART (Specific, Measurable, Achievable, Relevant, Time-bound) criteria to ensure that goals are realistic and aligned with the organization’s capabilities and market conditions.
  • The Role of AI: AI, particularly large language models, can significantly enhance operational efficiency and strategic decision-making. However, it’s essential to be mindful of ethical implications, potential biases, and the lack of standardization in AI applications.

Quote of the Show:

  • “I think the one thing I wish people knew is to know the right sets of data they should be using.” - Sue Tripathi

Links:

Ways to Tune In:

  continue reading

29 episodios

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iconCompartir
 
Manage episode 438131719 series 3566389
Contenido proporcionado por Ringmaster Conversational Marketing and Ryan Sullivan. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Ringmaster Conversational Marketing and Ryan Sullivan o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In this insightful episode, Dr. Sue Tripathi delves into the complexities of data utilization in businesses, emphasizing the importance of understanding which data sets are relevant to specific goals. The conversation explores how businesses can streamline their data practices to achieve more accurate and impactful outcomes. The discussion also touches on the significance of AI, including large language models, in driving operational efficiency and achieving strategic objectives. However, the conversation highlights the need for caution and ethical considerations when implementing AI solutions.

Key Takeaways:

  • Relevance Over Quantity: Focus on identifying the most relevant data sets rather than trying to analyze all available data. Understanding the purpose behind data collection is crucial for effective decision-making.
  • Goal-Driven Data Utilization: Before diving into data analysis, it’s essential to define the goals and objectives clearly. This helps in selecting the appropriate data sets and avoiding partial insights that lead to incomplete outcomes.
  • Simplicity in Approach: Start small with pilot projects to test the validity and reliability of data before scaling up. This approach helps in managing resources effectively and avoids overwhelming the organization.
  • SMART Goals: Use SMART (Specific, Measurable, Achievable, Relevant, Time-bound) criteria to ensure that goals are realistic and aligned with the organization’s capabilities and market conditions.
  • The Role of AI: AI, particularly large language models, can significantly enhance operational efficiency and strategic decision-making. However, it’s essential to be mindful of ethical implications, potential biases, and the lack of standardization in AI applications.

Quote of the Show:

  • “I think the one thing I wish people knew is to know the right sets of data they should be using.” - Sue Tripathi

Links:

Ways to Tune In:

  continue reading

29 episodios

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