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Customer ObsessedAuthor: Eric Berridge Erin Acevedo
This is Customer Obsessed, the show that dives into the nitty-gritty challenges of entrepreneurship and genuine customer connection. Our guests share their unique leadership journeys and their perspective on how to build forward-looking companies that embrace technology, innovation, and customer experience to deliver value and reach higher levels of success and growth. We also discuss major challenges facing businesses on a local, national, and global scale, including diversity and inclusion, STEM and STEAM, sustainability, and ethics. Language: en Genres: Business, Entrepreneurship, Management Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Rethinking What AI Needs with Brian Gannuscio
Episode 40
Thursday, 4 September, 2025
Most companies experimenting with AI run into the same roadblocks: messy data, stalled pilots, and unclear next steps. Brian Gannuscio has spent over a decade helping organizations move past those barriers by focusing on the architecture that makes AI possible. In this episode, he explains why waiting for perfect data is a mistake, how tools like Snowflake and Salesforce Data Cloud work together, and what it really takes to modernize without driving up costs. You’ll also hear concrete stories—from uncovering $50M in new sales to cutting approval queues by 70%—that show how smarter use of data translates into results.Episode Highlights(06:00) Why “perfect” data isn’t required to start using AI(08:15) How one project uncovered $50M in new sales opportunities(13:00) What a modern data architecture actually looks like in practice(15:40) Using zero-copy connectors to simplify access for business users(19:00) Turning a 25-page Word doc into an AI tool that cut approval queues by 70%(22:30) Natural language as the next interface for data(25:30) How AI shifts focus from manual “junk work” to higher-value priorities(29:00) Why content quality matters just as much as data quality in AI projects(37:00) Why so many AI pilots stall — and how to build use cases that scale
