Many AI projects fail because the underlying data, automation and workflows are not ready. This session examines how operators can strengthen instrumentation, SCADA, historians, data standards and legacy-field architecture before scaling AI.

Discussion points:

• How to assess data quality and automation readiness in mature or inherited fields.
• Better use of SCADA, PI/historians and central data concentrators.
• What to standardize before deploying AI in drilling, production or maintenance.

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