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Showing all posts tagged with "Enterprise AI"
Three months ago, the focus shifted from massive LLMs to efficient Micro-LLMs (1-10B parameters). Learn why these smaller, fine-tuned models are becoming the standard for secure, cost-effective, and on-premise enterprise AI deployment.
By early 2025, foundation models had quietly reshaped enterprise AI strategies. Rather than building bespoke models from scratch, companies began adopting foundation-based architectures that accelerated deployment while preserving domain-specific control. The shift was less about model training and more about operationalizing intelligence at scale.
This post outlines how businesses can begin adopting agentic AI — autonomous, goal-oriented systems that go beyond traditional AI models — by focusing on data readiness, hybrid human-AI governance, and aligning use cases with clear business value.
