Hitesh Nayak

Hitesh Nayak

Director Data Science

Decision Foundry

A Data Science leader with 12 years of hands-on experience, Hitesh has built teams, models, training programs, business strategies—and the occasional production disaster. He’s worked across retail, e-commerce, finance, CPG, and manufacturing in organizations ranging from formal corporates to startup-style environments. Equally comfortable coding or storytelling with data, what drives him is seeing one good algorithm create real-world value—whether it’s his or his team’s.

This session unveils how intelligent agents leverage large language models and agentic frameworks to execute key media and marketing tasks across Paid, Organic, and SEO channels. Witness firsthand as an agent:

  • Analyzes historical campaign spend to identify trends and inform future budget allocation.
  • Performs customer segmentation to understand audience nuances and tailor marketing efforts.
  • Develops targeted marketing pitches for specific customer segments, incorporating a defined marketing thought process.
  • Integrates keyword research to identify opportunities for significant SEO uplift.
  • Formulates SEO-integrated content strategies designed to improve search engine rankings.
  • Establishes clear evaluation methods for assessing qualitative aspects such as content readability and overall marketing success.

Attendees will gain insights into the agent's operational flow, understand the underlying architecture enabling these actions, and learn how the Model Context Protocol (MCP) ensures alignment with strategic marketing objectives. The session will emphasize how to define robust evaluation criteria and measurement strategies for these AI-driven workflows, ultimately leading to more informed decisions and enhanced marketing effectiveness.

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