Join host Alan Morrison and guest Todd Blaschka, advisor to Graphwise and 25-year veteran of data management technology, as they explore how knowledge graphs are becoming essential to enterprise AI success. They discuss the evolution of graph technology and its critical role in building trustworthy AI systems.
In this podcast:
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How knowledge graphs serve as the foundation for making data “AI-ready” and enabling more trustworthy AI systems, particularly as agentic AI becomes more prevalent.
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Why the market needs better education: many vendors claim to offer knowledge graph solutions, but lack true depth of functionality—making it essential to evaluate vendors carefully.
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GraphWise’s “five-star journey” framework for data maturity, from starting small with a single data store or department project to achieving full personalization across multiple data sources.
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Real-world success with enterprise clients like EY, who built a knowledge hub serving hundreds of thousands of internal users by breaking down data silos and providing role-based access through semantic AI and automated tagging.
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How quick-start accelerator programs help customers validate AI use cases in 3-5 days, reducing risk and demonstrating ROI before major investments—addressing a critical gap in the market where companies want proof before committing to AI initiatives.
