Why Knowledge Graphs Are On The Rise [Forbes]
Gartner, Inc. (IT)
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Source: Forbes
Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced software-developer productivity and automated customer relationships lead many to assume it's possible to quickly implement a useful, real-time LLM on top of enterprise data. Enterprise data, however, is rarely ready for an LLM. Most organizations use relational databases, which can have fatal flaws when used directly with an LLM. Knowledge graphs—machine-readable data representations that mimic human knowledge—are bridging the gap between proprietary enterprise data and safe, reliable, helpful LLMs. A Research and Markets report projected the compound annual growth rate (CAGR) of knowledge graphs to reach 21.8% between 2023 and 2028. Where Relational Databases Shine Relational databases, the most popular database in use today, were designed for the computing hardware of 40 years ago. T
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IT
Earnings
- 11/5/24 - Beat
IT
Sec Filings
- 11/22/24 - Form 4
- 11/20/24 - Form 4
- 11/19/24 - Form 4
- IT's page on the SEC website