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Daryn Smith | Overcoming the AI Readiness Gap

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Manage episode 478701668 series 2715362
Content provided by DealHub.io. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DealHub.io or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Unlock the *real* path to AI-powered revenue operations.
In this episode of **RevAmp**, Mark Lerner sits down with **Daryn Smith, CEO of Hubble Digital (HubSpot’s Global Partner of the Year)**, to unpack the data-readiness gap that is stalling AI adoption—even inside the world’s biggest B2B sales teams. If you’re wrestling with messy CRM data, rogue spreadsheets, or sky-high expectations for Gen-AI, this conversation is your fast-track primer on getting *truly* AI-ready.
🎙️ Episode Highlights
- Why only **9 %** of enterprises are genuinely ready for AI, despite 60 % wanting it yesterday
- The “garbage-in, garbage-out” rules of large-language models (and how to clean your data pipeline)
- Change-management tactics to stop shadow spreadsheets and drive CRM adoption
- Whether AgentForce, deepseek, or HubSpot’s *framed.ai* acquisition changes the game
- Why embracing *tech debt*—not avoiding it—may be your best strategic move this year
⏰ CHAPTERS
00:00 Intro & episode teaser
00:15 Meet Daryn Smith – CEO of Hubble Digital
02:25 From Napster to Gen-AI: tech waves Daryn has ridden
03:24 Why Hubble studied enterprise AI readiness
05:20 Data quality: the #1 AI bottleneck
07:31 Ambition vs. reality: 60 % want AI, fewer than 9 % are ready
08:56 The C-suite’s “AI illusion” explained
10:25 RevOps tech stacks & the unstructured-data mess
13:24 Can AI fix unstructured data?
16:37 What *true* data readiness looks like
18:15 Change management & user adoption
20:31 AI as the new user interface
23:10 Are dashboards dead?
24:29 Voice, brand, and conversational UX
25:53 Risk, governance & point-solution sprawl
30:14 Get AI-ready: auditing data and tech stacks
32:56 HubSpot’s AI advantage vs. legacy CRMs
36:53 Embrace tech debt—or fall behind
38:30 Where to find Daryn & Hubble
39:06 Outro
🔗 Resources & Links
- **Download Hubble’s AI-Readiness Report:** https://huble.com/ai-data-readiness-report
- **Hubble Digital:** https://hubble.com
- **Connect with Daryn on LinkedIn:** https://www.linkedin.com/in/darynsmith
- **Follow Mark Lerner:** https://www.linkedin.com/in/markzlerner
👋 Stay in the Loop
👍 **Like** this episode if it sparked an idea.
🔔 **Subscribe** for weekly deep dives with today’s top RevOps & GTM innovators.
💬 Drop your questions below—we reply to every comment!
#RevOps #AI #HubSpot #CRM #DataQuality #B2B #Podcast

  continue reading

125 episodes

Artwork
iconShare
 
Manage episode 478701668 series 2715362
Content provided by DealHub.io. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DealHub.io or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Unlock the *real* path to AI-powered revenue operations.
In this episode of **RevAmp**, Mark Lerner sits down with **Daryn Smith, CEO of Hubble Digital (HubSpot’s Global Partner of the Year)**, to unpack the data-readiness gap that is stalling AI adoption—even inside the world’s biggest B2B sales teams. If you’re wrestling with messy CRM data, rogue spreadsheets, or sky-high expectations for Gen-AI, this conversation is your fast-track primer on getting *truly* AI-ready.
🎙️ Episode Highlights
- Why only **9 %** of enterprises are genuinely ready for AI, despite 60 % wanting it yesterday
- The “garbage-in, garbage-out” rules of large-language models (and how to clean your data pipeline)
- Change-management tactics to stop shadow spreadsheets and drive CRM adoption
- Whether AgentForce, deepseek, or HubSpot’s *framed.ai* acquisition changes the game
- Why embracing *tech debt*—not avoiding it—may be your best strategic move this year
⏰ CHAPTERS
00:00 Intro & episode teaser
00:15 Meet Daryn Smith – CEO of Hubble Digital
02:25 From Napster to Gen-AI: tech waves Daryn has ridden
03:24 Why Hubble studied enterprise AI readiness
05:20 Data quality: the #1 AI bottleneck
07:31 Ambition vs. reality: 60 % want AI, fewer than 9 % are ready
08:56 The C-suite’s “AI illusion” explained
10:25 RevOps tech stacks & the unstructured-data mess
13:24 Can AI fix unstructured data?
16:37 What *true* data readiness looks like
18:15 Change management & user adoption
20:31 AI as the new user interface
23:10 Are dashboards dead?
24:29 Voice, brand, and conversational UX
25:53 Risk, governance & point-solution sprawl
30:14 Get AI-ready: auditing data and tech stacks
32:56 HubSpot’s AI advantage vs. legacy CRMs
36:53 Embrace tech debt—or fall behind
38:30 Where to find Daryn & Hubble
39:06 Outro
🔗 Resources & Links
- **Download Hubble’s AI-Readiness Report:** https://huble.com/ai-data-readiness-report
- **Hubble Digital:** https://hubble.com
- **Connect with Daryn on LinkedIn:** https://www.linkedin.com/in/darynsmith
- **Follow Mark Lerner:** https://www.linkedin.com/in/markzlerner
👋 Stay in the Loop
👍 **Like** this episode if it sparked an idea.
🔔 **Subscribe** for weekly deep dives with today’s top RevOps & GTM innovators.
💬 Drop your questions below—we reply to every comment!
#RevOps #AI #HubSpot #CRM #DataQuality #B2B #Podcast

  continue reading

125 episodes

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