Enterprise AI moves from model selection to software sovereignty
· Source: news.lavx.hu
In short
Enterprise AI teams are shifting focus from simply choosing a model to controlling the broader engineering system around it, including inference costs, evaluation, governance and supply-chain dependencies. A panel with experts from DoubleWord, BBVA and C Proof outlined four engineering pressures driving adoption: competitive urgency, unreliable evaluation, rising code-generation output and dependence on model providers. The article argues that open models, local deployments, versioned evaluation and human oversight give companies durable control over AI products.
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In the issue of week 39, 2026: AI Moves Into Supply Chain Operations as Evidence, Data and Trust Shape Adoption
Tags: governance, open source, evaluation, inference, code generation, supply chain