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Certified Chief Data Officer (CCDO) Professional Program (Interested Attendees) - AI and Textual Data: Context before Compute by Bill Inmon and Derek Strauss

Most corporate decisions still rest on the small slice of data that already fits a table. Largely ignored, Textual Data is the majority of the corporation. Early attempts to utilize that data have misfired. AI does not remove the need to integrate, contextualize, and warehouse text; it raises the cost of skipping those steps. Search, embeddings, and LLMs are first-generation tools unless they sit on taxonomies, textual ETL, and a textual warehouse.
Bill Inmon
Founder, Chairman, CEO, Best-Selling Author, University of Denver Advisory Board Member.

William H. Inmon is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, non-volatile, integrated, time-variant collection of data in support of management's decisions.

In 2012, Inmon developed and made public technology known as "textual disambiguation". Textual disambiguation applies context to raw text and reformats the raw text and context into a standard data base format. Once raw text is passed through textual disambiguation, it can easily and efficiently be accessed and analyzed by standard business intelligence technology, as well as AI. Textual disambiguation is accomplished through the execution of TextualETL.

Inmon owns and operates Forest Rim Technology, a company that applies and implements data warehousing solutions executed through textual disambiguation and TextualETL.

Derek Strauss
With over 3 decades of experience as Founder and Chairman/CEO of Gavroshe (Data & AI Consulting), as well as 5 years in the C-Suite of TD Ameritrade (as the first Chief Data Officer), I help CEOs and their teams understand what AI will actually do for their business, and I fix failing or stalled data/AI projects, ensuring that appropriate organizational capabilities are cultivated to sustain the business value realized from these initiatives.

I am a founding member of MIT's International Society for Chief Data Officers, and the annual MIT CDOIQ Symposium.

I am a regular speaker at global conferences on business strategies for the use of Data, Analytics and AI, and I teach classes on these topics as an Adjunct Professor (UALR, UTD, TCU, CDOCert.org, and technologytransfer.it).

I am a host on the CDOMagazine.tech online CDO Interview Series.

I co-authored the book "DW 2.0: The Architecture for the Next Generation of Data Warehousing" with William H. Inmon and Genia Neushloss (2008).
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