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pilogian.bsky.social

@pilogian.bsky.social did:plc:h3vahmq7ia4nfmtokdw4f7ad

Digital Marketing Assistant @PiLog_group https://x.com/PiLog_group | Amplifying IT insights, solutions & content | Data Quality • AI • Data Management • Digital Transformation

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pilogian.bsky.social (@pilogian.bsky.social) es un usuario de Bluesky que se unió el 30 junio 2026. Tiene 19 seguidores, sigue a 31 cuentas y ha publicado 739 posts.

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  • Coach Chron@coachchron.com

    Same principle applies to training logs. Tracked reps turn effort into measurable progress.

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  • Mark Eating@markeating.bsky.social

    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.

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  • Mark Eating@markeating.bsky.social

    Trusted 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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  • Iain Ballesty@iballesty.bsky.social

    @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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  • Jeremiah Chronister@jeremiahchronister.bsky.social

    True in PE too. The teams that share clean data close faster because diligence stops turning into endless rework.

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