Ryan Dolley puts Ridge AI to the test live on SuperDataBros, and explains why it stands out in a crowded embedded analytics market.
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Ryan Dolley
Analytics voice Ryan Dolley tests Ridge AI live and explains why its browser-based architecture stands out in a crowded embedded analytics market.
On SuperDataBros, Ryan Dolley tests Ridge AI live: a million rows filter instantly in the browser, and he takes raw data to an embedded analytics app on his own website.
Ryan also wrote about Ridge on LinkedIn, where he looks at the state of embedded analytics. He notes that many vendors are moving into the space, and that adapting an existing BI tool for embedded use is harder than it looks.
Ryan notes the post was not sponsored. Read Ryan's original LinkedIn post →
The architecture fits the way product teams think. Build a ridge to solve a defined customer data problem vs a sprawling BI estate designed to answer every question imaginable.
Ryan Dolley
Ryan Dolley has worked in nearly every seat in business intelligence and analytics: implementer, consultant, sales engineer, product leader and vendor executive. He was previously Vice President of Product Strategy at GoodData, where he owned the product roadmap, vendor and channel relationships, and go-to-market strategy. Before that, he was Head of Data at BI startup Count and Vice President of Technology at PMsquare. A five-time IBM Champion and founding board member of the AI and Data Analytics User Group, he writes the Super Data Blog, hosts the Super Data Brothers show, and is writing a book on building analytics applications with LLMs.