Today, enterprise data teams navigate complexity across three critical dimensions: horizontal data pipelines (including multi-source ingestion, multi-cloud data warehousing, data lineage tools, and cataloging systems), diverse consumption patterns (spanning CRM systems, BI dashboards, and machine learning applications), and distributed human knowledge across roles like data engineers, analysts, governance teams, and functional managers. While early AI solutions attempted to automate data workflows by interpreting complex schemas, these models fall short in enterprise environments.
As enterprises struggle with fragmented data ecosystems, Connecty AI's context-aware platform helps teams unlock hidden insights and reclaim up to 80% of time spent on manual analysisSan Francisco, Nov.11, 2024 (GLOBE NEWSWIRE) -- In the past two years, a wave of AI-powered data tools has flooded the market, each claiming to replace data analysts.
In a market flooded with AI tools that promise to replace human analysts but deliver unreliable results, Connecty AI is taking a fundamentally different approach – embracing the complexity of enterprise data environments and augmenting rather than replacing human expertise.
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