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AI is changing the game for marketing, but how do businesses truly integrate AI into their workflows?
In this episode, Kashish Gupta, Co-founder & Co-CEO of High Touch, joins Barr Yaron to break down the rise of Composable CDPs, the role of AI decisioning, and the future of automated marketing.
They explore:
- How High Touch pivoted into the Composable CDP space
- Why marketers struggle with data democratization and AI adoption
- How reinforcement learning (RL) agents are optimizing marketing campaigns
- What AI can (and can’t) replace in modern marketing teams
- The biggest technical challenges in building AI decisioning systemsIf you’re a marketer, data leader, or AI enthusiast, this episode is packed with insights into the future of AI-powered marketing.
This episode is broken down into the following chapters:
00:00 – Welcome & Introduction
01:09 – The High Touch founding story & early pivots
02:28 – Why Composable CDPs are the future of data-driven marketing
03:42 – Overcoming market education challenges
05:08 – The manual way of marketing vs. AI-powered decisioning
09:21 – How AI decisioning works inside High Touch
12:24 – Why reinforcement learning (RL) is the right AI model for marketing
13:45 – How High Touch sets up reward functions for AI agents
16:04 – How much data do you actually need for AI-driven marketing?
17:27 – The biggest misconceptions about AI and marketing
21:00 – Building an AI team at High Touch & hiring strategy
24:27 – The biggest technical challenges of AI decisioning
27:10 – How customers interact with AI-driven marketing models
29:40 – What’s next for AI decisioning & autonomous marketing agents?
34:26 – The future of AI & CDPs – where is the industry headed?
37:42 – What remains uniquely human in marketing?
41:23 – Advice for marketers considering AI adoption
44:16 – The future of AI agents working together
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