The Hierarchy of AI Oversight article delves into the 3 functions and discusses how they interact blog.victoriaholt.co.uk/2026/09/the-... #ResponsibleAI #AIGovernance #DataGovernance
@victoriaholt.bsky.social
@victoriaholt.bsky.socialThe Hierarchy of AI Oversight article delves into the 3 functions and discusses how they interact blog.victoriaholt.co.uk/2026/09/the-... #ResponsibleAI #AIGovernance #DataGovernance
@victoriaholt.bsky.socialGovernance must keep pace with AI and be embedded in every stage blog.victoriaholt.co.uk/2026/09/gove... #datagovernance #AIGovernance #dataethics
@citizenptnewsoh.bsky.socialResidents of Wooster are raising urgent concerns over proposed automated license-plate readers, questioning privacy and civil liberties in a call for a public forum.
Get the details!
#WoosterWayneCounty #OH #CitizenPortal #DataGovernance #PublicEngagement #CivilLiberties #WoosterPrivacy
@bd4d.bsky.socialđź“Ł Announcing v1.1 of the BD4D Standard & Playbook!
We're grateful for our community's ideas on how to ease BD4D adoption & better support #nonprofits in building trustworthy #data practices.
Take a read, and let us know what you think!
@citizenptnewsny.bsky.socialResidents of Peekskill are demanding transparency on automatic license-plate readers as concerns over data privacy and governance rise amidst police assurances of strict safeguards.
Read the full story
#PeekskillWestchesterCounty #NY #CitizenPortal #DataGovernance #PublicSafety
@anthempress.bsky.socialAvailable now! Examines the evolving landscape of data privacy and ethics. See here ➡️ tinyurl.com/445rswuy #DataPrivacy #DataGovernance #DataEthics #ConsumerTrust #BusinessStrategy #DataStrategy #PrivacyByDesign #AnthemPress @nyupress.bsky.social @syracuseu.bsky.social
@k-i-news.bsky.socialAnthropic speichert Fable-Logs 30 Tage – Palantir, Nvidia und Booz Allen ziehen bei sensiblen Arbeiten zurück. „Wir trainieren nicht damit“ löst das eigentliche Problem nicht: Wer kontrolliert, was gespeichert bleibt? #DataGovernance
Mehr von mir: linkedin.com/in/maurice-putinas
@pilogian.bsky.socialThree decades of PiLog reflect an evolution in enterprise information—from master data and data quality toward asset intelligence, governance, digital transformation and AI readiness.
The common foundation remains trusted data.
@pilogian.bsky.socialA capital project does not end when construction ends.
Its engineering, procurement, equipment and project information becomes part of the operational asset foundation.
Preparing that information early creates continuity from project delivery into operations.
@pilogian.bsky.socialThe value of enterprise AI is not only in generating an answer.
It is in connecting that answer to the information, governance and workflows the business already depends on.
That is where conversational enterprise AI becomes operationally useful.
@pilogian.bsky.socialAssets do not operate in isolation.
Their information connects maintenance, engineering, procurement, services and operations. Managing those relationships as one governed information environment creates stronger operational context.
@access-innovations.bsky.socialAI can sound confident even when its data is outdated or just plain wrong. That’s why data management matters. It keeps information organized and usable, while data governance sets the rules for who owns it and how it can be used. taxodiary.com?p=58804 #DataGovernance
@opsmatters.comThe latest update for #Netwrix includes "Device inventory is not privileged account discovery" and "#AI agents can inherit local admin rights".
#Cybersecurity #Compliance #DataGovernance https://opsmtrs.com/3z0GlG4
@concordtech.bsky.social
@mmullins.coginiti.co"Can't we just tell the agent what it's allowed to see?"
You can. It'll mostly kinda work, and "mostly" is doing a lot of work there.
Prompt policy is a request. Semantic layer policy is a boundary.
@pilogian.bsky.socialThe most useful enterprise AI will not exist separately from enterprise information.
It needs context.
Connecting conversational AI with master-data and governance workflows can make AI more useful for validation, enrichment and information-driven processes.
@pilogian.bsky.socialService procurement becomes difficult when the same type of service is described differently across the organization.
A governed Service Master can create common definitions, classifications, specifications and approval processes.
@pilogian.bsky.socialStrong data governance answers practical questions:
Who owns the data?
Who can change it?
What rules validate it?
Who approves it?
Embedding these controls into workflows turns governance into an operating capability.
@pilogian.bsky.socialAI readiness starts with reliable enterprise data.
PiLog DQG Suite connects data quality, governance, enrichment and master-data management into one lifecycle—creating a stronger foundation for analytics, SAP and AI.
@castlebridge-chief.bsky.socialSo, the second part of the cognitive dissonance is the “Hot Potato” game. We already see this within #DataGovernance. There are practices and approaches to address it. But it does mean having to have accountability (not accountability sinks) in the system.