Partners

This work is not done alone, here are more of the voices behind the work of Forest Rim Technology

Jessica Talisman is a semantic infrastructure consultant and knowledge organization expert specializing in ontology development, controlled vocabularies, and enterprise semantic architectures that bridge library science principles with modern AI and knowledge management systems. Jessica created the Ontology Pipeline, a framework for building semantic knowledge infrastructures and ontologies.

co-author of the best-selling book Fundamentals of Data Engineering, a data engineer/architect, a recovering data scientist, an advisor, a speaker, a podcaster, a professor, and more.

Dan Linstedt is the inventor of Data Vault and a recognized authority in scalable data architecture and enterprise data integration. He has advised global organizations on building resilient, audit-ready data ecosystems that support analytics, compliance, and AI at scale. As an AI strategist and industry educator, Dan focuses on aligning modern data engineering practices with emerging intelligent systems. His work bridges disciplined data architecture with practical innovation in advanced analytics and automation.

Cynthia (Cindi) Meyersohn is Chief Operating Officer of DataVaultAlliance Holdings and Founder of DataRebels LLC, where she leads strategy, operations, and global enablement for the Data Vault 2.1 ecosystem. With more than four decades in information technology spanning commercial and federal sectors, she is a Certified Data Vault 2.1 Instructor and enterprise architect who has designed and implemented large-scale, auditable data warehouse solutions in highly secure environments. She holds a Master of Science in Systems Engineering from The George Washington University and a Bachelor of Science in Information Systems from Strayer University. She currently resides in Richmond, VA with her family, including seven grandchildren.

Malcolm Hawker is the CDO of Profisee and is a thought leader in the fields of Data Strategy, Master Data Management (MDM), and Data Governance. As a former Gartner analyst, Malcolm has authored industry-defining research and has consulted some of the largest businesses in the world on their enterprise data and analytics strategies. Having served as a Chief Product Officer, Head of IT, and strategic business consultant, Malcolm is an industry leader with over 25 years’ experience at the forefront of data-enabled business transformations. Malcolm is a frequent public speaker on data and analytics best practices, and he cherishes the opportunity to share practical and actionable insights on how companies can achieve their strategic imperatives by improving their approach to data management. He is the author of the Wiley book ‘The Data Hero Playbook’, which details the critical role that a growth mindset plays in helping companies to realize the transformative value of data. When not sharing his passion for data or recording episodes of the CDO Matters podcast, Malcolm is an avid hobbyist landscape photographer and lives with his wife and two dogs in a small beach town in Florida.

Ole Olesen-Bagneux holds a BA, MA, and PhD in library and information science from the University of Copenhagen, Denmark, where he has also lectured. His award-winning scientific work has been published in prestigious journals such as Philosophy and Literature, Knowledge Organization, and The Information Society. He is also the author of The Enterprise Data Catalog (O'Reilly). Ole has substantial industry experience from large, complex organizations, where he has worked with data and information architectures from strategic leadership positions. He has also consulted for numerous organizations via his own company, Searching for Data, particularly on the challenges of metadata management. Throughout all of his professional work, Ole seeks to advance data and ai via the learnings of library and information science. Ole serves as vice president, chief evangelist, in Actian

Jeff Wilts is an intensely curious person, I love to experiment with new technologies. When I’m not at work, I design circuit boards, use 3D printers, and study artificial intelligence to consider different ways of approaching problems. I teach professionals and speak at conferences, addressing topics in AI, predictive analytics, data governance, master data management, and Big Data. Additionally, I volunteer as a leader with Scouts Canada.

Bill Inmon is known as the father of the data warehouse. Bill has written 73 books published in 9 languages. Bill’s books have sold over 1,500,000 copies worldwide. One of Bill’s books BUILDING THE DATA WAREHOUSE has sold over 500,000 copies. Bill was named by Computerworld as one of the ten most influential thought leaders in the history of computing.
Bill developed the technology for textual disambiguation, which reads raw text and turns that text into a standard data base. Bill founded and took public Prism Solutions, the original ETL company. Bill founded Forest Rim Technology, which does textual disambiguation and supports textual ETL.

Bill started his career as a pro golfer but got tired of starving to death. Bill lives in Denver, Colorado with his wife and his two Scotty dogs – Rollie and Lena.

Johnson Kuan is the Founder and CEO of Queryboost, a startup building the analytical AI engine for unstructured data. He holds a Master of Science in Computer Science from Georgia Tech with a specialization in Machine Learning and has over 10 years of enterprise AI experience at AT&T and DIRECTV. Johnson won the Most Innovative Award at Andrew Ng's Data-Centric AI Competition for his Data Boost algorithm and is an open-source contributor to Ray, the leading distributed AI compute framework.

Articles

Models are needed to understand and make sense of large, complex collections. For data there is the data model. And now there is the business language model.

First came applications. Then transaction processing systems. Then the data warehouse. But as data diversified even more a different structure was needed. The data lakehouse is the modern extension of the data warehouse.

An off shoot of the data warehouse is the textual warehouse. With the textual warehouse documents across the corporation can be located and analyzed.