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Suresh Vittal, CPO at Alteryx, On His Journey to Revolutionizing Data Analytics

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Conteúdo fornecido por Dan Turchin. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dan Turchin ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

As the Chief Product Officer at Alteryx, Suresh leads the product, engineering, design, and development teams that deliver innovative and scalable solutions for data science and analytics. He is also responsible for product pricing, packaging, and PLG strategies. Over the past 3 years, Alteryx has transformed into an analytics platform with market-leading end-to-end analytics solutions, covering the entire gamut of users from analysts to data engineers, developers, and data scientists.

With over 20 years of experience in the SaaS industry, Suresh has a proven track record of driving growth, customer satisfaction, and market leadership for cloud-based platforms and products.

In this conversation, we discuss:

  • The ongoing debate between AI guardrails and user autonomy, referencing Mark Gimein's "spicy mayo problem" as a case study.
  • Suresh Vittal's background, journey through analytics and AI, and his role as Chief Product Officer at Alteryx.
  • Alteryx's mission of "analytics for all" and their focus on empowering users across technical and non-technical roles in data analytics.
  • The integration of generative AI features into Alteryx's platform to simplify complex workflows and enhance collaboration among data professionals.
  • Insights into AI-first data management strategies and the evolving landscape of AI-driven tools in the future of work.
  • The importance of governance and transparency in AI-powered analytics, ensuring clarity and understanding across complex data workflows for improved decision-making.

Additional resources:

Suresh’s LinkedIn page

Related episode you might enjoy about responsible AI use

AI fun fact article in the Atlantic

  continue reading

223 episódios

Artwork
iconCompartilhar
 
Manage episode 411312679 series 2986762
Conteúdo fornecido por Dan Turchin. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dan Turchin ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

As the Chief Product Officer at Alteryx, Suresh leads the product, engineering, design, and development teams that deliver innovative and scalable solutions for data science and analytics. He is also responsible for product pricing, packaging, and PLG strategies. Over the past 3 years, Alteryx has transformed into an analytics platform with market-leading end-to-end analytics solutions, covering the entire gamut of users from analysts to data engineers, developers, and data scientists.

With over 20 years of experience in the SaaS industry, Suresh has a proven track record of driving growth, customer satisfaction, and market leadership for cloud-based platforms and products.

In this conversation, we discuss:

  • The ongoing debate between AI guardrails and user autonomy, referencing Mark Gimein's "spicy mayo problem" as a case study.
  • Suresh Vittal's background, journey through analytics and AI, and his role as Chief Product Officer at Alteryx.
  • Alteryx's mission of "analytics for all" and their focus on empowering users across technical and non-technical roles in data analytics.
  • The integration of generative AI features into Alteryx's platform to simplify complex workflows and enhance collaboration among data professionals.
  • Insights into AI-first data management strategies and the evolving landscape of AI-driven tools in the future of work.
  • The importance of governance and transparency in AI-powered analytics, ensuring clarity and understanding across complex data workflows for improved decision-making.

Additional resources:

Suresh’s LinkedIn page

Related episode you might enjoy about responsible AI use

AI fun fact article in the Atlantic

  continue reading

223 episódios

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