As AI systems become more sophisticated and integrate into critical decision-making processes, the need for these systems to be not only intelligent, but also transparent and understandable has become paramount. The ability to comprehend the reasoning behind an AI's output fosters trust, enables accountability, and ultimately leads to more [...]
Businesses in every industry face the challenge of managing and analyzing massive volumes of information. Whether itโs tracking operational events, maintaining regulatory compliance, assessing financial risks, or responding to incidents, organizations need quick and efficient ways to retrieve relevant data and generate actionable insights. Many organizations have onboarded GenAI [...]
Enterprises require the information located in their structured databases for decision-making, and to gain business insights. Unfortunately, querying this data comes with a host of challenges, from high latency and cost concerns, to complex data relationships. Organizations that have onboarded GenAI often discover that most modern foundation models arenโt [...]
Large Language Models (LLMs) are powerful tools for natural language processing, but they have inherent limitations when dealing with structured relational data. Many assume that providing an LLM with a database schema and a natural language question is enough for it to generate correct SQL queries. However, this approach [...]
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