What’s wrong with data labels
Technical Advisor and former LinkedIn knowledge graph lead Mike Dillinger recently spoke with Juan Sequeda and Tim Gasper of data.world. During a recent edition of… Read More »What’s wrong with data labels
Alan Morrison is an independent consultant and freelance writer on data tech and enterprise transformation. He is a contributor to Data Science Central with over 35 years of experience as an analyst, researcher, writer, editor and technology trends forecaster, including 20 years in emerging tech R&D at PwC.
Technical Advisor and former LinkedIn knowledge graph lead Mike Dillinger recently spoke with Juan Sequeda and Tim Gasper of data.world. During a recent edition of… Read More »What’s wrong with data labels
An interview podcast with Dave Duggal, founder of EnterpriseWeb In 2009, as the Cloud was starting to emerge, Dave Duggal founded EnterpriseWeb to address the… Read More »Taming generative AI for enterprise-grade automation
In November 2023, MarketsandMarkets announced the publication of its Knowledge Graph Market report. In its announcement, M&M estimated the 2023 global knowledge graph market at… Read More »A few large enterprise software provider strategies for the knowledge graph market
Earlier in the fall, Charles Hoffman joined our non-profit Dataworthy Collective (DC) that focuses on best practices in trusted knowledge graph development. Hoffman is a… Read More »Trusted, automated data sharing across spreadsheets and other documents
A podcast with Fabrizio del Maffeo of Axelera AI As CEO and Co-founder of Axelera AI, Fabrizio del Maffeo is focused on harnessing the potential… Read More »Edge AI’s next phase
For several years now, I’ve helped to organize and moderate a discussion forum focused on knowledge graphs, knowledge modeling and related topics. The group began… Read More »From knowledge graph discussion group to think tank
Back in 2015, Pedro Domingos of the University of Washington’s computer science department published The Master Algorithm. In the book, Domingos explored the possibility that… Read More »How hybrid AI can help LLMs become more trustworthy
Two roads diverged in a wood, and I;I took the one less traveled by,And that has made all the difference. — Robert Frost At certain… Read More »FAIR knowledge: The key precondition for trusted generative AI
Large language models (LLMs) for generating text and vision models for generating images are notoriously inefficient. The larger they get, the more power hungry they… Read More »A few highlights of the Efficient Generative AI Summit (EGAIS)
A podcast with Weimo Liu and Sam Magnus of PuppyGraph Open source Apache Iceberg, Hudi and Delta Lake have made it possible to dispense with… Read More »Doing graph + tabular analytics directly on modern data lakes