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AI Implementation: The Roadmap to Leveraging AI in Your Organization

Ascend.io

Visual representation of Conway’s Law ( source ) Read More: The Chief AI Officer: Avoid The Trap of Conway’s Law Process: Ensuring Data Readiness The backbone of successful AI implementation is robust data management processes. AI models are only as good as the data they consume, making continuous data readiness crucial.

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A Day in the Life of a Data Scientist

Knowledge Hut

They employ a wide array of tools and techniques, including statistical methods and machine learning, coupled with their unique human understanding, to navigate the complex world of data. A significant part of their role revolves around collecting, cleaning, and manipulating data, as raw data is seldom pristine.

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Observability Platforms: 8 Key Capabilities and 6 Notable Solutions

Databand.ai

Observability platforms not only supply raw data but also offer actionable insights through visualizations, dashboards, and alerts. Databand allows data engineering and data science teams to define data quality rules, monitor data consistency, and identify data drift or anomalies.