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The 5-Minute Data Fix That Prevents AI Disasters
In this episode of Early Adoptr, Kyle and Jess bust the biggest AI myth of all: “We don’t have enough data.” The truth? You’re already swimming in it. From emails to spreadsheets to customer conversations, every business has more than enough information to start building AI-powered insights.
To prove it, they bring in data veteran Eric, who’s spent 15+ years cleaning up messy data for startups and enterprises alike. Eric shares why even Fortune 500s are struggling with data quality, how to avoid AI hype traps, and why the “hot dog story” from his kid’s PTA is the perfect metaphor for every business owner’s data nightmare.
You’ll also hear why dashboards break, what “Shift Left” really means, and how to spot untapped data hiding in plain sight. Plus: the latest AI news, from Anthropic’s billion-dollar copyright settlement to sneaky YouTube AI editing.
04:00 Welcoming Eric Callahan
07:52 Why Everyone’s Data Is a Mess and Why It Matters for AI
14:10 Big Data, AI FOMO, and Business Reality Checks
20:28 Emails, Funnels, and the Hidden Data You Already Own
23:56 The Hot Dog Example: Data Engineering for Normal People
32:42 Shift Left: Fixing Data Quality Before It Breaks Everything
42:21 Following the Data Trail: How Actions Become Insights
44:55 Key Takeaways to Make Your Data Work for AI
47:30 AI News of the Week: Anthropic Lawsuit & Data Training, ChatGPT's Parental Controls
59:43 AI Gone Wrong: YouTube Changes Content Without Consent
- Why every business already has enough data for AI (and what to do with it).
- The parallels between today’s AI hype and yesterday’s “big data” craze.
- How emails, customer interactions, and even paper forms can turn into insights.
- Why dashboards keep breaking and how “Shift Left” thinking fixes it.
- The single most important question to ask before you start collecting any data.
- BI (Business Intelligence): Dashboards and reports that turn raw numbers into insights for decision-makers.
- Data Contracts: Agreements between developers and data teams that keep data clean, consistent, and usable.
- Data Lifecycle / Funnel Tracking: Following each step a customer or user takes — from first click to final purchase.
- Event Tracking: Recording specific user actions (like opens, clicks, or purchases) so you can measure and optimize behavior.
Get in touch: [email protected]
Follow Us:
- Instagram: https://instagram.com/early_adoptr
- TikTok: https://tiktok.com/@early_adoptr
- YouTube: https://www.youtube.com/@early_adoptr
- Substack: https://substack.com/@earlyadoptrpod
- LinkedIn: https://www.linkedin.com/company/early-adoptr
- Resources: https://linktr.ee/early_adoptr
Get in touch with Early Adoptr: [email protected]
Follow Us on Socials & Resources:
IG: https://instagram.com/early_adoptr
TikTok: https://tiktok.com/@early_adoptr
YouTube: https://www.youtube.com/@early_adoptr
Substack: https://substack.com/@earlyadoptrpod
Resources: https://linktr.ee/early_adoptr
Hosted on Acast. See acast.com/privacy for more information.
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By Early AdoptrIn this episode of Early Adoptr, Kyle and Jess bust the biggest AI myth of all: “We don’t have enough data.” The truth? You’re already swimming in it. From emails to spreadsheets to customer conversations, every business has more than enough information to start building AI-powered insights.
To prove it, they bring in data veteran Eric, who’s spent 15+ years cleaning up messy data for startups and enterprises alike. Eric shares why even Fortune 500s are struggling with data quality, how to avoid AI hype traps, and why the “hot dog story” from his kid’s PTA is the perfect metaphor for every business owner’s data nightmare.
You’ll also hear why dashboards break, what “Shift Left” really means, and how to spot untapped data hiding in plain sight. Plus: the latest AI news, from Anthropic’s billion-dollar copyright settlement to sneaky YouTube AI editing.
04:00 Welcoming Eric Callahan
07:52 Why Everyone’s Data Is a Mess and Why It Matters for AI
14:10 Big Data, AI FOMO, and Business Reality Checks
20:28 Emails, Funnels, and the Hidden Data You Already Own
23:56 The Hot Dog Example: Data Engineering for Normal People
32:42 Shift Left: Fixing Data Quality Before It Breaks Everything
42:21 Following the Data Trail: How Actions Become Insights
44:55 Key Takeaways to Make Your Data Work for AI
47:30 AI News of the Week: Anthropic Lawsuit & Data Training, ChatGPT's Parental Controls
59:43 AI Gone Wrong: YouTube Changes Content Without Consent
- Why every business already has enough data for AI (and what to do with it).
- The parallels between today’s AI hype and yesterday’s “big data” craze.
- How emails, customer interactions, and even paper forms can turn into insights.
- Why dashboards keep breaking and how “Shift Left” thinking fixes it.
- The single most important question to ask before you start collecting any data.
- BI (Business Intelligence): Dashboards and reports that turn raw numbers into insights for decision-makers.
- Data Contracts: Agreements between developers and data teams that keep data clean, consistent, and usable.
- Data Lifecycle / Funnel Tracking: Following each step a customer or user takes — from first click to final purchase.
- Event Tracking: Recording specific user actions (like opens, clicks, or purchases) so you can measure and optimize behavior.
Get in touch: [email protected]
Follow Us:
- Instagram: https://instagram.com/early_adoptr
- TikTok: https://tiktok.com/@early_adoptr
- YouTube: https://www.youtube.com/@early_adoptr
- Substack: https://substack.com/@earlyadoptrpod
- LinkedIn: https://www.linkedin.com/company/early-adoptr
- Resources: https://linktr.ee/early_adoptr
Get in touch with Early Adoptr: [email protected]
Follow Us on Socials & Resources:
IG: https://instagram.com/early_adoptr
TikTok: https://tiktok.com/@early_adoptr
YouTube: https://www.youtube.com/@early_adoptr
Substack: https://substack.com/@earlyadoptrpod
Resources: https://linktr.ee/early_adoptr
Hosted on Acast. See acast.com/privacy for more information.