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In March 2026, interviews with Jessica Talisman and Heather Hedden revealed key insights regarding enterprise challenges in agentic AI. Talisman emphasizes the need for internal knowledge management,…
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To counter anti-AI sentiment, organizations should adopt a human-first strategy. By using agentic networks together semantic graphs that contain FAIR data, firms can build transparent systems that…
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Malcolm Sparks challenges enterprise software bloat. He argues that traditional application code, given the utility of web- and semantic graph-based development, is unnecessary; instead, developers can use…
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Cheryl Dunn, an accounting professor, critiques traditional accounting’s limitations for AI use. She and co-author Dave McComb propose a “frozen raindrop” method to record business transactions contextually.…
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Jack Kausch, a recent PhD graduate from Western University’s Faculty of Information and Media Studies, has developed an innovative pictographic metadata system inspired by 17th-century language schemes.…
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To enable effective AI in enterprises, a cohesive data foundation is crucial. A case study of a global bank demonstrates how a unified knowledge graph streamlined operations…
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Formal ontology is necessary for multi-project data sharing across contextual, departmental and company boundaries. Simple labeling doesn’t scale across multiple projects and the need to do data…
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Graphwise’s webinar outlines a six-step process to bridge the AI trust gap. Using knowledge graphs, it moves agents from experimentation to reliable, data-centric enterprise production.
