WhyHow.AI

The ability to track how relationships and patterns evolve over time is a key element to extracting value from data. While graphs have proven valuable for improving context in AI applications, adding the temporal dimension introduces new challenges along with opportunities for deeper insights. Converting unstructured text into temporal knowledge graphs requires carefully balancing high-level ontology design with practical implementation concerns. If you missed Episode 3 of Graph Power Hour with Paco Nathan and Chia Jeng Yang and Thomas Smoker from WhyHow.AI check out our blog for a recap. https://hubs.ly/Q03cYsby0 #GraphPowerHour #GPHFTWLFG #EntityResolution #ERKG #EntityResolvedKnowledgeGraph #EntityResolvedKnowledgeGraphs #SenzingPartner

Discover how WhyHow.AI and MongoDB's knowledge graphs can transform your data retrieval, insights, and offers scalable solutions for accurate data management. ?? https://lnkd.in/ghQHYdK3

The ability to track how relationships and patterns evolve over time is a key element to extracting value from data. While graphs have proven valuable for improving context in AI applications, adding the temporal dimension introduces new challenges along with opportunities for deeper insights. Converting unstructured text into temporal knowledge graphs requires carefully balancing high-level ontology design with practical implementation concerns. If you missed Episode 3 of Graph Power Hour with Paco Nathan and Chia Jeng Yang and Thomas Smoker from WhyHow.AI check out our blog for a recap. https://hubs.ly/Q03cYsby0 #GraphPowerHour #GPHFTWLFG #EntityResolution #ERKG #EntityResolvedKnowledgeGraph #EntityResolvedKnowledgeGraphs #SenzingPartner

The explicit mapping of expert judgment and decision-making criteria will give rise to new workflows in Product Management roles, new workflow tooling that streamlines expert feedback, and The future will see domain experts becoming central to AI product development teams in Expert <> LLM apprentice workflows

Are you looking to enhance your AI data management capabilities? Knowledge graphs could unlock deeper insights and more accurate data retrieval. WhyHow.AI has developed an open-source platform that integrates seamlessly with MongoDB, providing a robust foundation for leveraging knowledge graphs. Discover how to supercharge your AI initiatives with knowledge graphs and MongoDB’s flexible architecture. ?? https://lnkd.in/g4Fdy6Uz

Discover how WhyHow.AI and MongoDB's knowledge graphs can transform your data retrieval, insights, and offers scalable solutions for accurate data management. ?? https://lnkd.in/g8x_GgaT

Talent density matters. Our small WhyHow.AI team in aggregate has 1 JD, 2 Tier 1 Quants, 2 Knowledge Graph PhDs, Dev experience from AWS/Netflix/Coinbase, and 2 Harvard MBAs. Everyone contributes to the codebase, including the 100 agents we’ve built in the background. This is the future of work.

Discover how WhyHow.AI and MongoDB's knowledge graphs can transform your data retrieval, insights, and offers scalable solutions for accurate data management. ?? https://lnkd.in/ghrNW_-g

Talent density matters. Our small WhyHow.AI team in aggregate has 1 JD, 2 Tier 1 Quants, 2 Knowledge Graph PhDs, Dev experience from AWS/Netflix/Coinbase, and 2 Harvard MBAs. Everyone contributes to the codebase, including the 100 agents we’ve built in the background. This is the future of work.

Discover how WhyHow.AI and MongoDB's knowledge graphs can transform your data retrieval, insights, and offers scalable solutions for accurate data management. ?? https://lnkd.in/g-DJuCGT