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How Connecty’s AI context mapping could end enterprise data pipeline chaos
While several companies offer LLM-powered tools for data analysis, Connecty claims to stand out with its context graph-based approach.
“The core of our solution is the proprietary context engine that in real-time extracts, connects, updates, and enriches data from diverse sources (via no-code integrations), which includes human-in-the-loop feedback to fine-tune custom definitions. Additionally, self-service capabilities for data exploration will empower product managers to perform ad-hoc analyses independently, minimizing their reliance on technical teams and facilitating more agile, data-driven decision-making,” Agarwal explained. While a lot of companies, including startups like DataGPT and multi-billion dollar giants like Snowflake, have been promising faster access to accurate insights with large language model-powered interfaces, Connecty claims to stand out with its context graph-based approach that covers the entire stack, not just one or two platforms.
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