The challenge for many organizations is finding use cases that can deliver a fast return on investment and scale beyond a pilot roll-out cost-effectively.
There appears to be a shift in business away from public LLMs to small language models and AI models that can be tuned and run on-premise.
High-quality internal data is crucial for training AI, yet enterprise data is often scattered across multiple applications and lacks a single version of the truth.
Migrating heavily customized ERP systems can be costly and complicated, as seen in the Birmingham City Council's costly move from SAP to Oracle.
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