pilogian.bsky.social
pilogian.bsky.social
Digital Marketing Assistant @PiLog_group https://x.com/PiLog_group | Amplifying IT insights, solutions & content | Data Quality • AI • Data Management • Digital Transformation
👤 Joined on 30 June 2026
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- 30 Haz 2026, 05:34
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Same principle applies to training logs. Tracked reps turn effort into measurable progress.
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Exactly. A practical control is to assign a named data owner and a review trigger for each workflow, rather than treating “data quality” as a one-off project. That makes AI assurance easier to operate as use cases evolve.
Show PostTrusted data is a useful starting point. For SMEs, data quality and governance become especially important when AI moves from experimentation into customer, operational, or decision workflows—clear ownership and review points help make that practical.
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@pilogian.bsky.social #SAP’s biggest AI advantage is that its AI is deeply connected to the business processes and enterprise data that many companies already run on SAP systems.
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True in PE too. The teams that share clean data close faster because diligence stops turning into endless rework.
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