DATA & ANALYTICS“Generative AI becomes far more dependable when it is grounded in structured, trustworthy data”
Andy MacMillan, CEO, Alteryx
AI workflows to shift to specific lines of business, rising from 22 % today to 33 % by 2028. This shift has big advantages. Sales operations, finance and supply chain teams have the context to solve the problems they face daily with AI. Not central IT teams.
That said, decentralisation without governance carries risk. Without clear standards and rules, organisations can end up with duplicated logic, conflicting models or shadow systems that undermine trust. The right approach gives business teams self-service capabilities while maintaining central oversight for governance, data quality and platform consistency.
Q. HOW CAN ORGANISATIONS MAKE GENERATIVE AI OUTPUTS MORE RELIABLE?
» Reliability begins with the data and logic behind the model. Generative AI becomes far more dependable when it is grounded in structured, trustworthy data. Many of the issues we hear about, like hallucinations, come from layering AI on top of raw data sources without proper context. aimagazine. com
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