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Content provided by Sourajit Ghosh (SG). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sourajit Ghosh (SG) 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://ppacc.player.fm/legal.
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The AI-First CMO and Enterprise Tech Leader (Season 2 Marketing Masterclass, Episode 10): CX with SG

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Manage episode 504069026 series 3676167
Content provided by Sourajit Ghosh (SG). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sourajit Ghosh (SG) 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://ppacc.player.fm/legal.

In an era where traditional ways of working are rapidly becoming obsolete, simply adopting new tools isn’t enough. This episode explores why AI isn’t just another technology trend but a structural shift demanding a new kind of leadership—one where marketing visionaries, technology architects, and AI strategists work in lockstep.

We’ll reveal how this “triumvirate” can build a modern operating model rooted in clean data, continuous intelligence, and predictive customer experiences. You’ll discover how marketing leaders evolve into growth architects, tech leaders into digital market makers, and AI leaders into stewards of data and ethics.

From breaking down silos with cross-functional teams to designing intelligent, self-optimizing systems, this episode offers a practical playbook for building the Autonomous Enterprise—an organization that senses, predicts, and adapts at scale. Tune in to learn how to lead confidently into the AI-driven future.

Podcast Legal Disclaimer

This podcast is a personal project, a hobby and is not affiliated with, endorsed by, or representative of any employer, organization, or professional entity with which the creator may be associated. All views and opinions expressed are solely those of the podcast creator and do not necessarily reflect the official policy or position of any organization, employer, or institution.

The content presented in this podcast, including talk tracks, narratives, and voiceovers, has been developed with the assistance of Generative AI technologies, including large language models (LLMs) and AI-based voice synthesis tools. While the core themes and ideas originate from the creator, portions of the content—especially related to script writing, elaboration, and summarization—may have been influenced by generative AI outputs. As such, it is possible that the podcast contains information derived from sources not explicitly cited, as well as content subject to potential inaccuracies, omissions, or inherent AI biases.

This podcast is intended solely for informational and entertainment purposes. It should not be interpreted as professional advice of any kind—including legal, medical, technical, financial, or business consulting. Nothing in this podcast constitutes specific recommendations, actionable strategies, or endorsements for implementation, purchase decisions, or system design. Any references to hypothetical case studies or examples are illustrative in nature and meant to inspire creative thinking and personal exploration of the topic, not to guide real-world decisions.

Listeners are strongly encouraged to do their own due diligence, independent evaluation, and consult qualified professionals before making any decisions based on the content herein. The podcast creator makes no warranties or guarantees regarding the accuracy, completeness, or reliability of the information presented.

The domain of artificial intelligence and related technologies is rapidly evolving; therefore, the relevance and accuracy of the content may diminish over time.

By listening to this podcast, you acknowledge and agree that:

  • The creator shall not be held liable for any loss, damage, or consequences resulting from the use of or reliance on any part of the podcast.
  • The podcast does not constitute a formal endorsement of any product, company, service, or linked third-party resource.
  • Any actions taken based on this podcast are done at your own risk.
  • You accept this disclaimer in full.
  continue reading

18 episodes

Artwork
iconShare
 
Manage episode 504069026 series 3676167
Content provided by Sourajit Ghosh (SG). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sourajit Ghosh (SG) 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://ppacc.player.fm/legal.

In an era where traditional ways of working are rapidly becoming obsolete, simply adopting new tools isn’t enough. This episode explores why AI isn’t just another technology trend but a structural shift demanding a new kind of leadership—one where marketing visionaries, technology architects, and AI strategists work in lockstep.

We’ll reveal how this “triumvirate” can build a modern operating model rooted in clean data, continuous intelligence, and predictive customer experiences. You’ll discover how marketing leaders evolve into growth architects, tech leaders into digital market makers, and AI leaders into stewards of data and ethics.

From breaking down silos with cross-functional teams to designing intelligent, self-optimizing systems, this episode offers a practical playbook for building the Autonomous Enterprise—an organization that senses, predicts, and adapts at scale. Tune in to learn how to lead confidently into the AI-driven future.

Podcast Legal Disclaimer

This podcast is a personal project, a hobby and is not affiliated with, endorsed by, or representative of any employer, organization, or professional entity with which the creator may be associated. All views and opinions expressed are solely those of the podcast creator and do not necessarily reflect the official policy or position of any organization, employer, or institution.

The content presented in this podcast, including talk tracks, narratives, and voiceovers, has been developed with the assistance of Generative AI technologies, including large language models (LLMs) and AI-based voice synthesis tools. While the core themes and ideas originate from the creator, portions of the content—especially related to script writing, elaboration, and summarization—may have been influenced by generative AI outputs. As such, it is possible that the podcast contains information derived from sources not explicitly cited, as well as content subject to potential inaccuracies, omissions, or inherent AI biases.

This podcast is intended solely for informational and entertainment purposes. It should not be interpreted as professional advice of any kind—including legal, medical, technical, financial, or business consulting. Nothing in this podcast constitutes specific recommendations, actionable strategies, or endorsements for implementation, purchase decisions, or system design. Any references to hypothetical case studies or examples are illustrative in nature and meant to inspire creative thinking and personal exploration of the topic, not to guide real-world decisions.

Listeners are strongly encouraged to do their own due diligence, independent evaluation, and consult qualified professionals before making any decisions based on the content herein. The podcast creator makes no warranties or guarantees regarding the accuracy, completeness, or reliability of the information presented.

The domain of artificial intelligence and related technologies is rapidly evolving; therefore, the relevance and accuracy of the content may diminish over time.

By listening to this podcast, you acknowledge and agree that:

  • The creator shall not be held liable for any loss, damage, or consequences resulting from the use of or reliance on any part of the podcast.
  • The podcast does not constitute a formal endorsement of any product, company, service, or linked third-party resource.
  • Any actions taken based on this podcast are done at your own risk.
  • You accept this disclaimer in full.
  continue reading

18 episodes

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