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Growing a Tech Company with Gen AI Code Analysis: A Conversation with Matt Van Itallie | Part 1

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Manage episode 437554737 series 3402321
コンテンツは Ryan Staley によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Ryan Staley またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

In today’s episode, Ryan interviews Matt Van Itallie, the founder and CEO of SEMA. They discuss the challenges of growing a company without taking on investors, and the impact of Gen AI on code analysis. Matt shares insights on SEMA’s revenue, team size, go-to-market strategy, and the importance of building trust with private equity firms. They also look at the challenges and opportunities the use of AI in code checking presents, and the best practices for deploying Gen AI code.

Join 2,500+ readers getting weekly practical guidance to scale themselves and their companies using Artificial Intelligence and Revenue Cheat Codes.

Explore becoming Superhuman here: https://superhumanrevenue.beehiiv.com/

KEY TAKEAWAYS

  • Unique Go-to-Market Strategies: Utilizing trust-based partnerships and referrals, SEMA has successfully grown its business in the private equity space.
  • Importance of Gen AI Code: With Gen AI code becoming more prevalent, it is crucial for organizations to manage it effectively to mitigate risks related to IP, security, and exit strategies.
  • Enterprise-Level Licenses: Ensuring that team members have enterprise-level licenses for Gen AI tools is essential to protect trade secrets and data integrity.
  • Encouraging Experimentation: Celebrating experimentation and sharing lessons within the team can lead to innovative uses of Gen AI tools and foster a culture of learning.
  • Addressing Identity Concerns: By equating the use of Gen AI with open source tools, developers can overcome concerns about their coding identity and embrace the benefits of new technologies.

BEST MOMENTS

"Just replace the word Gen AI with open source. Are you a real developer if you use open source? Of course, I am."

“We're absolute proponents of using AI where it makes sense to increase productivity and job satisfaction. And for us, coders using it is probably number one on the list in terms of how much more productive they can be, because it helps avoid some of the routine work. It lets them experiment faster, et cetera.”

"My mission in life is to help founders and revenue leaders avoid all the pain and suffering in revenue growth so they can flip it and create a life of their own design."

Ryan Staley

Founder and CEO

Whale Boss

ryan@whalesellingsystem.com

www.ryanstaley.io

Saas, Saas growth, Scale, Business Growth, B2b Saas, Saas Sales, Enterprise Saas, Business growth strategy, founder, ceo: https://www.whalesellingsystem.com/closingsecrets

  continue reading

445 つのエピソード

Artwork
iconシェア
 
Manage episode 437554737 series 3402321
コンテンツは Ryan Staley によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Ryan Staley またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

In today’s episode, Ryan interviews Matt Van Itallie, the founder and CEO of SEMA. They discuss the challenges of growing a company without taking on investors, and the impact of Gen AI on code analysis. Matt shares insights on SEMA’s revenue, team size, go-to-market strategy, and the importance of building trust with private equity firms. They also look at the challenges and opportunities the use of AI in code checking presents, and the best practices for deploying Gen AI code.

Join 2,500+ readers getting weekly practical guidance to scale themselves and their companies using Artificial Intelligence and Revenue Cheat Codes.

Explore becoming Superhuman here: https://superhumanrevenue.beehiiv.com/

KEY TAKEAWAYS

  • Unique Go-to-Market Strategies: Utilizing trust-based partnerships and referrals, SEMA has successfully grown its business in the private equity space.
  • Importance of Gen AI Code: With Gen AI code becoming more prevalent, it is crucial for organizations to manage it effectively to mitigate risks related to IP, security, and exit strategies.
  • Enterprise-Level Licenses: Ensuring that team members have enterprise-level licenses for Gen AI tools is essential to protect trade secrets and data integrity.
  • Encouraging Experimentation: Celebrating experimentation and sharing lessons within the team can lead to innovative uses of Gen AI tools and foster a culture of learning.
  • Addressing Identity Concerns: By equating the use of Gen AI with open source tools, developers can overcome concerns about their coding identity and embrace the benefits of new technologies.

BEST MOMENTS

"Just replace the word Gen AI with open source. Are you a real developer if you use open source? Of course, I am."

“We're absolute proponents of using AI where it makes sense to increase productivity and job satisfaction. And for us, coders using it is probably number one on the list in terms of how much more productive they can be, because it helps avoid some of the routine work. It lets them experiment faster, et cetera.”

"My mission in life is to help founders and revenue leaders avoid all the pain and suffering in revenue growth so they can flip it and create a life of their own design."

Ryan Staley

Founder and CEO

Whale Boss

ryan@whalesellingsystem.com

www.ryanstaley.io

Saas, Saas growth, Scale, Business Growth, B2b Saas, Saas Sales, Enterprise Saas, Business growth strategy, founder, ceo: https://www.whalesellingsystem.com/closingsecrets

  continue reading

445 つのエピソード

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