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The AI in Business Podcast

Data Governance and Legacy Tech Stack Challenges in Heavy Industry - with Rupam Baijal of Algoma Steel

May 30, 2024
19:16
Snipd AI
Rupam Baijal, Director of Procurement at Algoma Steel, discusses legacy data challenges in extractive industries and the need for digital transformation. He highlights the expertise gap between data science vendors and heavy industry subject matter experts. The conversation explores the obstacles in dealing with outdated data systems and the potential solutions, including AI integration. Additionally, the podcast delves into the complexities of legacy tech stacks, data governance, and the role of AI in enhancing heavy industry operations and decision-making.
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Podcast summary created with Snipd AI

Quick takeaways

  • Legacy data challenges hinder collaboration between data vendors and heavy industry experts.
  • AI integration in procurement workflows optimizes supply chains and enhances operational efficiency in heavy industries like steel production.

Deep dives

Legacy Data Challenges in Extractive Industries

In the extractive industries like mining, legacy data poses a significant challenge as technology developed decades ago still forms the basis of operations. Over time, data accumulated in various formats, creating layers of complexity that are hard to interconnect. AI holds the promise of organizing and grouping this diverse data, but bridging the technological gap between data science vendors and heavy industry experts remains a hurdle.

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