Generative AI (GenAI) and large language models (LLMs) rocketed onto the scene in 2023, and boards now want returns from the technology yesterday. But AI disillusionment is brewing, with many projects ...
As organisations scale their AI driven data operations, the challenge is no longer just accessing data, it’s understanding what the data actually means in teams, systems, and use cases. Databases are ...
Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...
To discuss the ways GenAI can be augmented for true success, John O'Brien, principal advisor and industry analyst at Radiant Advisors, and David Jayatillake, VP of AI at Cube, joined DBTA's webinar, ...
Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...
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