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Contenido proporcionado por Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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 Holy Grail of AI - Alex Babin - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 030

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Manage episode 362716805 series 2984858
Contenido proporcionado por Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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.

Today’s guest is Alex Babin, Co-Founder and CEO at ZERO Systems. Alex joins Seth Earley and Chris Featherstone to share two of the biggest misconceptions of AI and a new AI metric data tool. Using AI to track data improves performance.

Takeaways:

  • The biggest misconceptions about AI are:
    • AI can work out of the box. ChatGPT shows people what it can do but that doesn't mean that AI can do everything.
    • You can throw data at AI and it will execute your needs perfectly. AI technology is changing, but it hasn’t met this level of expertise yet.
  • A best practice to avoid these misconceptions of AI is to start from the beginning. Figure out your company's ROI and reconstruct all the steps required.
  • There's a new layer of metric data that has never existed before, user-generated data or a feedback loop. As you interact with a tool a new type of metadata is born. As you feed more data and information to the tool it creates a data flywheel.
  • Ontologies don't always overlap to give a full understanding. AI can be a stitching mechanism to join two ontologies that should be communicating. You can use AI to Alex explains how the two ontologies aren’t connected. Fortune1000 companies can use AI to use data more effectively.
  • Organizations need end-to-end solutions. An enterprise-scale solution doesn't exist right now. They're using fragmented solutions and piecing it together.
  • Interconnecting data and compartmentalizing it can lead to end-to-end solutions, skilled AI models (SAMs).
  • AI is an arms race right now. The focus is on making things bigger, faster, and more powerful. Without governance it can be dangerous. We need to collectively figure it out.

Quote of the Show:

  • “Throwing ChatGPT on top of your problems will not solve it.” (04:51)

Links:

Ways to Tune In:

Thanks to our sponsors:

  continue reading

60 episodios

Artwork
iconCompartir
 
Manage episode 362716805 series 2984858
Contenido proporcionado por Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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.

Today’s guest is Alex Babin, Co-Founder and CEO at ZERO Systems. Alex joins Seth Earley and Chris Featherstone to share two of the biggest misconceptions of AI and a new AI metric data tool. Using AI to track data improves performance.

Takeaways:

  • The biggest misconceptions about AI are:
    • AI can work out of the box. ChatGPT shows people what it can do but that doesn't mean that AI can do everything.
    • You can throw data at AI and it will execute your needs perfectly. AI technology is changing, but it hasn’t met this level of expertise yet.
  • A best practice to avoid these misconceptions of AI is to start from the beginning. Figure out your company's ROI and reconstruct all the steps required.
  • There's a new layer of metric data that has never existed before, user-generated data or a feedback loop. As you interact with a tool a new type of metadata is born. As you feed more data and information to the tool it creates a data flywheel.
  • Ontologies don't always overlap to give a full understanding. AI can be a stitching mechanism to join two ontologies that should be communicating. You can use AI to Alex explains how the two ontologies aren’t connected. Fortune1000 companies can use AI to use data more effectively.
  • Organizations need end-to-end solutions. An enterprise-scale solution doesn't exist right now. They're using fragmented solutions and piecing it together.
  • Interconnecting data and compartmentalizing it can lead to end-to-end solutions, skilled AI models (SAMs).
  • AI is an arms race right now. The focus is on making things bigger, faster, and more powerful. Without governance it can be dangerous. We need to collectively figure it out.

Quote of the Show:

  • “Throwing ChatGPT on top of your problems will not solve it.” (04:51)

Links:

Ways to Tune In:

Thanks to our sponsors:

  continue reading

60 episodios

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