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Reshaping RevOps Through Generative AI - Hugo Robein - RevOps Rockstars - Episode # 31

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内容由RevOps Rockstars提供。所有播客内容(包括剧集、图形和播客描述)均由 RevOps Rockstars 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Joining us on today's podcast is an esteemed RevOps executive who has played a pivotal role in fostering the expansion of numerous generative AI companies. Welcome to the show, Director of Revenue Operations at Phrasee, Hugo Robein.

Hugo joins hosts David Carnes and Jarin Chu to delve into the impact of generative AI in regard to the future of RevOps. Hugo shares his insights on the use cases of AI tools such as Phrasee and Chat GPT, and utilizing generative AI to create on-brand content for your company while optimizing your data with the aid of AI.

Takeaways:

  • In RevOps, nothing will ever be perfect. RevOps is full of change and it is important to acknowledge and understand that. While you may seek perfection, you need to utilize iterative change to make small improvements.
  • Although it feels like companies are finally understanding what the role of RevOps is, it continues to evolve. While traditionally it was about marketing and sales alignment, RevOps teams are now responsible for also aligning CS teams.
  • RevOps has the ability to provide crucial insights into the pricing structure for your company. By analyzing market trends, competitor pricing, as well as insights from sales calls and current clients, Ops teams can make crucial pricing decisions.
  • When you interact with the board of directors, you need to be concise, and understand who your stakeholders are. Understand your metrics of success, and condense your findings into short insights that speak to your audience.
  • One area of advancement with AI that Ops leaders should focus on is automation of tasks. Models that will allow you to connect applications and automate data entry will save hours of manual work.
  • AI models that provide predictive analysis offer another opportunity for Ops leaders. Data engineers and analysts come at a high cost, and having an AI assistant that provides even a base level of predictive analytics will help many teams.
  • While generative AI models are tempting tools for marketers, not all tools are created equal. Before sending your prompt, consider if that tool can write within your brand standards, follow regulations, and ultimately produce good content.

Quote of the Show:

  • “You need to understand what you want to achieve before going into AI. Otherwise, you're going to get a solution and you won't have any idea of how you're going to use it” - Hugo Robein

Shoutouts:

Links:

Ways to Tune In:

  continue reading

37集单集

Artwork
icon分享
 
Manage episode 375198971 series 3480792
内容由RevOps Rockstars提供。所有播客内容(包括剧集、图形和播客描述)均由 RevOps Rockstars 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Joining us on today's podcast is an esteemed RevOps executive who has played a pivotal role in fostering the expansion of numerous generative AI companies. Welcome to the show, Director of Revenue Operations at Phrasee, Hugo Robein.

Hugo joins hosts David Carnes and Jarin Chu to delve into the impact of generative AI in regard to the future of RevOps. Hugo shares his insights on the use cases of AI tools such as Phrasee and Chat GPT, and utilizing generative AI to create on-brand content for your company while optimizing your data with the aid of AI.

Takeaways:

  • In RevOps, nothing will ever be perfect. RevOps is full of change and it is important to acknowledge and understand that. While you may seek perfection, you need to utilize iterative change to make small improvements.
  • Although it feels like companies are finally understanding what the role of RevOps is, it continues to evolve. While traditionally it was about marketing and sales alignment, RevOps teams are now responsible for also aligning CS teams.
  • RevOps has the ability to provide crucial insights into the pricing structure for your company. By analyzing market trends, competitor pricing, as well as insights from sales calls and current clients, Ops teams can make crucial pricing decisions.
  • When you interact with the board of directors, you need to be concise, and understand who your stakeholders are. Understand your metrics of success, and condense your findings into short insights that speak to your audience.
  • One area of advancement with AI that Ops leaders should focus on is automation of tasks. Models that will allow you to connect applications and automate data entry will save hours of manual work.
  • AI models that provide predictive analysis offer another opportunity for Ops leaders. Data engineers and analysts come at a high cost, and having an AI assistant that provides even a base level of predictive analytics will help many teams.
  • While generative AI models are tempting tools for marketers, not all tools are created equal. Before sending your prompt, consider if that tool can write within your brand standards, follow regulations, and ultimately produce good content.

Quote of the Show:

  • “You need to understand what you want to achieve before going into AI. Otherwise, you're going to get a solution and you won't have any idea of how you're going to use it” - Hugo Robein

Shoutouts:

Links:

Ways to Tune In:

  continue reading

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