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The Future of Data Work: Strategy Over Mechanics in 5 Years

Super Data Science: ML & AI Podcast with Jon KrohnJune 1, 20253 min148 views
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Shifting Focus to Strategy

  • 🎯 In five years, the data industry will likely see a significant shift from focusing on the mechanics of data handling to data strategy and business outcomes.
  • 💡 Automation will handle much of the current manual and repetitive data workflows, freeing up professionals to concentrate on the 'why' and 'how' data can drive business value.

Evolving Data Infrastructure

  • ☁️ A key trend will be the disconnection of compute from storage, allowing for greater mobility and flexibility in how data is accessed and processed.
  • 🧩 The industry is moving towards standardized raw data repositories, with Iceberg emerging as a key format for accessible object storage.
  • 🛠️ This will enable the connection of various query engines and, importantly, generative AI capabilities to data, allowing businesses to select the optimal solution for specific use cases.

The Impact of AI and LLMs

  • 🚀 While predicting the future is challenging due to rapid advancements like AI and LLMs, these technologies are expected to enhance, not diminish, the job market for data professionals.
  • 🧠 The increasing power and accessibility of AI APIs mean that professionals can leverage these tools to focus on higher-level strategic tasks rather than foundational data manipulation.
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What’s Discussed

Data StrategyData AnalyticsData ScienceMachine Learning EngineersArtificial IntelligenceLarge Language Models (LLMs)Data InfrastructureCompute Storage DisconnectionObject StorageIceberg FormatQuery EnginesGenerative AIAutomation
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