One emerging effect of AI agents:
Humans may gradually adapt to the system itself.
People may begin:
• writing differently
• organizing records differently
• structuring workflows differently
based on what the agent retrieves or surfaces most effectively.
Some adaptation may be intentional.
Some may emerge through repeated workflow habits.
That raises broader sociotechnical governance questions too.
Understanding Vendor Lock-In: Impacts, Examples, and Avoidance Strategies
This article is intended to help readers better understanding vendor lock-in by identifying its impacts, examining examples, and highlighting avoidance strategies.
After reading, you should:
be familiar with the concept of vendor lock in
be aware of potential impacts vendor lock-in can ...
Continued 👉 https://blog.radwebhosting.com/understanding-vendor-lock-in-impacts-examples-and-avoidance-strategies/?utm_source=mastodon&utm_medium=social&utm_campaign=mastodon.social #datagovernance #businesscontinuance #vendorlockin #supplychain #digitalsovereignty
„RAG wird das schon lösen.“
Nein.
Wenn deine Begriffe nicht sauber definiert sind, liefert dir auch die beste KI nur statistisch passende Antworten – keine richtigen.
Wir reden in der neuen Folge darüber, warum Bedeutung wichtiger ist als Datenmenge.
Unbequem, aber notwendig.
#KI #DataGovernance #Digitalisierung
https://youtu.be/NPQ_tnsRd5w
A subtle challenge with AI agents:
Organizations often focus on what the agent can do while spending less time examining:
• what systems it can access
• what permissions it inherits
• what data environments it moves through• and what activity is actually logged
In many environments, technical deployment happens faster than governance maturity.
Though some regulated industries are beginning to build more structured oversight models.
One of the quieter AI governance problems:
Visibility.
Modern AI systems don’t just generate outputs. They:• rank information• summarize records• prioritize retrieval• shape what users encounter first
That influence can affect judgment even when humans remain “in the loop.”
One subtle AI governance issue:
Decision-support systems shape visibility.
When systems:
• categorize records
• prioritize information
• surface certain materials first
they influence the informational environment around human review.
That matters even when humans retain final authority.
Governance discussions shouldn’t focus only on outputs.
They should also examine how systems shape attention.
Hi, great fedinetwork!
You can never have enough sources on digital independence, self-hosting and data governance! I'm collecting sources for a talk on these topics and I would love some more info!
Do you have some favorite sources, websites, blogs or articles about these (or adjacent) subjects? Please drop them in a reply!
#fediverse #digitalsovereignty #digitalindependence #selfhosting #selfhosted #datagovernance #Privacy
Self Service Analytics lässt sich nicht vollständig kontrollieren.
Wer es trotzdem versucht, wird schnell zum Bottleneck für das Business.
Der entscheidende Shift liegt im Mindset:
Nicht maximale Kontrolle, sondern bewusst gesetzte Leitplanken mit Mut zur Lücke.
So entsteht echte Agilität.
#DataGovernance #ITLeadership #DigitalTransformation
https://youtube.com/shorts/9VIWitasRQE
Understanding Vendor Lock-In: Impacts, Examples, and Avoidance Strategies
This article is intended to help readers better understanding vendor lock-in by identifying its impacts, examining examples, and highlighting avoidance strategies.
After reading, you should:
be familiar with the concept of vendor lock in
be aware of potential impacts vendor lock-in can ...
Continued 👉 https://blog.radwebhosting.com/understanding-vendor-lock-in-impacts-examples-and-avoidance-strategies/?utm_source=mastodon&utm_medium=social&utm_campaign=mastodon.raddemo.host #supplychain #vendorlockin #businesscontinuance #datagovernance #digitalsovereignty
BiyteLüm
Rad Web Hosting
ChaosHacker-Talk
Kevin
PPC Land
mastodon.raddemo.host