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AI Engineering Matures: Integration, Governance, and Enterprise ROI Take Center Stage
Tech AI Magazine
|February 2026
2026 marks a watershed in AI engineering characterized by systemized governance frameworks, operational control over AI outputs, and comprehensive risk scoring methodologies.
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Industry leaders emphasize the shift from experimental deployments to production-grade AI systems with strict compliance, lineage tracking, and incident reporting baked into AI lifecycle management. This maturation responds to growing enterprise demands for scalable, reliable AI integrated across
This story is from the February 2026 edition of Tech AI Magazine.
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