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EP 36 - To Refactor or Not: AI’s Impact on Tech Stacks

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Manage episode 462401526 series 3527806
Content provided by Nish Patel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nish Patel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Guest Information

  • Name: Jarrod Gingras
  • Title: Managing Director & Analyst
  • Organization: Real Story Group
  • Expertise:
    • Marketing and workplace technology evaluation
    • Aligning technology with strategic goals
    • Digital content and customer data platforms

Episode Summary

In this episode, Jarrod Gingras shares his expertise on navigating the seismic shifts AI brings to creative operations and tech stacks. He breaks down how AI demands clean data, aligned content, and strategic decisions, and explains why refactoring your tech stack might be essential for staying competitive. This conversation is packed with actionable insights for leaders and teams navigating this critical inflection point in creative operations.

Key Takeaways

  • Refactoring vs. Staying the Course:
    • AI has introduced foundational changes to creative operations, making tech stack alignment essential.
  • Content, Data, and Decisions:
    • These three elements form the backbone of successful AI adoption. Clean data and aligned content are non-negotiable.
  • Human in the Loop:
    • AI workflows require human oversight to ensure meaningful and relevant outcomes.
  • Breaking Down Silos:
    • Collaboration between content and data teams is critical for creating impactful AI-driven solutions.
  • Future-Proofing Your Tech Stack:
    • Assess your systems for scalability, data fluidity, and integration with AI tools.
  • Personalization at Scale:
    • AI enables always-on workflows but requires a foundational shift in how content and data are managed.
  • Actionable Frameworks:
    • Jarrod outlines practical steps for leaders to assess and update their tech stacks strategically.
  • The Existential Question:
    • To refactor or not to refactor? The answer depends on your current system’s readiness for AI integration.
  continue reading

43 episodes

Artwork
iconShare
 
Manage episode 462401526 series 3527806
Content provided by Nish Patel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nish Patel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Guest Information

  • Name: Jarrod Gingras
  • Title: Managing Director & Analyst
  • Organization: Real Story Group
  • Expertise:
    • Marketing and workplace technology evaluation
    • Aligning technology with strategic goals
    • Digital content and customer data platforms

Episode Summary

In this episode, Jarrod Gingras shares his expertise on navigating the seismic shifts AI brings to creative operations and tech stacks. He breaks down how AI demands clean data, aligned content, and strategic decisions, and explains why refactoring your tech stack might be essential for staying competitive. This conversation is packed with actionable insights for leaders and teams navigating this critical inflection point in creative operations.

Key Takeaways

  • Refactoring vs. Staying the Course:
    • AI has introduced foundational changes to creative operations, making tech stack alignment essential.
  • Content, Data, and Decisions:
    • These three elements form the backbone of successful AI adoption. Clean data and aligned content are non-negotiable.
  • Human in the Loop:
    • AI workflows require human oversight to ensure meaningful and relevant outcomes.
  • Breaking Down Silos:
    • Collaboration between content and data teams is critical for creating impactful AI-driven solutions.
  • Future-Proofing Your Tech Stack:
    • Assess your systems for scalability, data fluidity, and integration with AI tools.
  • Personalization at Scale:
    • AI enables always-on workflows but requires a foundational shift in how content and data are managed.
  • Actionable Frameworks:
    • Jarrod outlines practical steps for leaders to assess and update their tech stacks strategically.
  • The Existential Question:
    • To refactor or not to refactor? The answer depends on your current system’s readiness for AI integration.
  continue reading

43 episodes

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