AI in Marketing – Delhi

  • 18th September 2026

  • Delhi

About Event

TRCC participated in the AIM Summit 2026 – AI in Marketing Summit in New Delhi, bringing together senior marketing, business, growth and technology leaders to explore how AI is moving from experimentation to practical business application. The summit focused on the intersection of artificial intelligence, marketing strategy, data, customer engagement and revenue growth, with discussions centred on real-world implementation and measurable business outcomes.


Why It Mattered

As organizations increasingly integrate AI into their business functions, the summit provided perspectives on how companies can move beyond adopting individual AI tools and build AI-ready operating models. Discussions around AI-driven decision-making, personalization, revenue growth, measurement and organizational readiness highlighted the importance of combining technology with strategy and human judgement.


Key Themes Covered

  • AI-Driven Marketing: Exploring how AI is reshaping marketing strategy, customer engagement and growth.
  • Measuring AI ROI: Understanding how organizations can evaluate the business impact of AI across marketing funnels.
  • AI & Revenue Growth: Discussions on using AI for demand generation, pipeline intelligence and revenue performance.
  • Personalization at Scale: Exploring AI-enabled customer experiences while balancing relevance and responsible use of data.
  • AI-Ready Organizations: Insights into building teams, processes and operating models equipped for an AI-led business environment.
  • AI Execution Lab: Practical demonstrations showcasing real-world AI applications for marketing and business functions.


TRC’s Involvement

TRCC participated in the New Delhi edition, engaging with senior marketing, business and technology professionals and gaining insights into the evolving role of AI in enterprise decision-making and growth. The summit also provided an opportunity to exchange perspectives with industry leaders and understand emerging approaches to applying AI for greater efficiency, customer value and business impact.

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