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AI is only as good as the data, context, and workflows behind it. This podcast gives you the why—and the how.
Tune in weekly for innovative Domo builds and monthly for deep-dives that cut through the AI hype.
Hear from the AI experts in their own words.
Mark and Chris cut through the hype and share a clearer way to think about the real state of agentic AI. They break down everything from the productivity "J-curve" to why mindset beats tools to what actually makes an agent trustworthy: being able to see what it does and stop it.
Tyler Clark, Solutions Engineer Manager at Domo, walks through a custom pro-code app built for a community bank tackling siloed reporting, regulatory complexity, and proactive loan portfolio management. It unifies bank-wide KPIs into one executive command center.
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Dan Gouveia demos a Domo AI solution that turns unstructured legal case files into ready-to-use medical chronologies and demand letters, saving firms the cost and delay of outsourcing. Built with Domo's file sets, Jupyter workspaces, and Workflows.
Domo's Principal Solution Consultant Matthew Newsom shows how he built a Domo-powered coaching app that turns his youth baseball team's spreadsheet data into real insight, while safely sharing stats with parents and rolling data up across teams.
Domo unifies real-time operational data into AI-ready data products, enabling AI agents and human decision-makers to optimize routing, reduce boil-off gas losses, and minimize fuel and demurrage costs, unlocking potential savings of $600K–$1.2M per LNG voyage.
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