How HubSpot Data Hub Creates Clean Data for Better AI

Clean data is not a nice-to-have if you want AI that performs in the real world. HubSpot Data Hub is designed to unify, clean, and activate customer data so teams can move faster with confidence.

In this episode of AI in Action, hosts Eric Housh and Zack Terry are joined by FSM Chief Delivery Officer Brandon Landes to break down what HubSpot Data Hub is, how it consolidates key capabilities, and where Data Studio, duplicate management, and warehouse connectivity create real leverage. They also cover the week’s AI news, including OpenAI’s “code red” focus shift, reported misuse of Claude Code, the FDA rolling out generative AI access, Anthropic IPO rumors, and Marc Benioff’s comments about a potential Salesforce rename. The episode closes with practical steps leaders can take this week to audit data quality and start with a business problem before scaling AI.

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#hubspot #datahub #crmdata #ai #revops ‪@HubSpot-CRM‬ ‪@salesforce‬ ‪@OpenAI‬ ‪@anthropic-ai‬

CHAPTERS:
00:00 – Intro
00:09 – AI in Action sponsor message
00:24 – Welcome and today’s guest
01:09 – This week’s AI news kickoff
01:15 – OpenAI “code red” and model competition
03:07 – Claude Code misuse and security implications
04:51 – FDA expands generative AI access
06:14 – Anthropic growth and IPO rumors
07:52 – Benioff comments on a possible Salesforce rename
10:13 – Why HubSpot Data Hub matters now
10:14 – What HubSpot Data Hub is
11:01 – Brandon on delivery and trusted data
12:16 – Why unified data is critical for AI
13:31 – Data Studio and self-serve insights
15:44 – Fixing dirty data with duplicates and standards
17:38 – Warehouse connectivity for enterprise teams
20:07 – How teams can action data in HubSpot
22:27 – Outcomes by function: marketing to RevOps
26:26 – Practical steps to start this week
28:22 – Start with the business problem, then scale
29:37 – Final takeaway: clean inputs drive better outputs
31:09 – How to get help from FSM