How Hightouch Builds RL Agents For Marketing Teams, with Kashish Gupta, Co-CEO At Hightouch

Описание: 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 systems

If 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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