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Content related to Transforming Tabular Data into Personalized, Componentized Content using Knowledge Graphs in Python

A Semantic Layer to Enable Risk Management at a Multinational Bank

Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading

Getting Control of Your Content: AI Solutions to Streamline and Optimize Your Digital Assets

Paula Land, Principal Consultant for Content Strategy and Operations and Elliott Risch, Semantic AI Consultant, presented a LavaCon pre-conference webinar on the topic of AI-assisted content analysis titled Getting Control of Your Content: AI Solutions to Streamline and Optimize Your … Continue reading

AI-Ready Content Accelerator

AI solutions are only as good as the content that powers them. When content lacks the necessary quality, structure, and enhancement, AI tools will fail to appropriately understand it, leading to a high risk of “hallucinations,” as well as distrust … Continue reading

Knowledge Cast Product Spotlight – Matthieu Besozzi of Linkurious

Enterprise Knowledge COO Joe Hilger speaks with Matthieu Besozzi, Head of North America at Linkurious. Linkurious is a leading provider of next-generation graph intelligence solutions, enabling organizations to visualize and explore connections across large datasets. In their conversation, Matthieu discusses … Continue reading

A Semantic Layer Approach to Enterprise Knowledge Management and Information Findability

Within an organization or enterprise, multiple knowledge organization systems tend to be siloed and used for different purposes in different systems (the website, the intranet, technical documentation publishing, the product catalog, customer support articles, training materials, etc.). If this disparate … Continue reading