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#data-governance — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #data-governance, aggregated by home.social.

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  1. Samsung engineers pasted source code into ChatGPT. Once it's in the prompt, it's gone, that's not a mystery. The real gap: nobody wrote the policy, nobody knew who had access. Fine afterward isn't the same as defensible.

    #DataGovernance #AI #Leadership #InfoSec #Compliance

  2. Samsung engineers pasted source code into ChatGPT. Once it's in the prompt, it's gone, that's not a mystery. The real gap: nobody wrote the policy, nobody knew who had access. Fine afterward isn't the same as defensible.

    #DataGovernance #AI #Leadership #InfoSec #Compliance

  3. Samsung engineers pasted source code into ChatGPT. Once it's in the prompt, it's gone, that's not a mystery. The real gap: nobody wrote the policy, nobody knew who had access. Fine afterward isn't the same as defensible.

    #DataGovernance #AI #Leadership #InfoSec #Compliance

  4. Samsung engineers pasted source code into ChatGPT. Once it's in the prompt, it's gone, that's not a mystery. The real gap: nobody wrote the policy, nobody knew who had access. Fine afterward isn't the same as defensible.

    #DataGovernance #AI #Leadership #InfoSec #Compliance

  5. 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 👉 blog.radwebhosting.com/underst #datagovernance #vendorlockin #digitalsovereignty #supplychain #businesscontinuance

  6. 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 👉 blog.radwebhosting.com/underst #datagovernance #vendorlockin #digitalsovereignty #supplychain #businesscontinuance

  7. 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 👉 blog.radwebhosting.com/underst #datagovernance #vendorlockin #digitalsovereignty #supplychain #businesscontinuance

  8. Learn about Cloudflare's Town Lake, its unified internal data platform, where billing workloads account for 53% of all platform queries.

    Built alongside Skipper, an AI-powered analytics agent, Town Lake unifies access to operational, billing, security, and business data that was previously spread across fragmented systems.

    Details here ➤ bit.ly/4bvWOGR

    #Cloudflare #ApacheIceberg #Postgres #DataAnalytics #DataPlatform #DataGovernance #PlatformEngineering #InfoQ

  9. Learn about Cloudflare's Town Lake, its unified internal data platform, where billing workloads account for 53% of all platform queries.

    Built alongside Skipper, an AI-powered analytics agent, Town Lake unifies access to operational, billing, security, and business data that was previously spread across fragmented systems.

    Details here ➤ bit.ly/4bvWOGR

    #Cloudflare #ApacheIceberg #Postgres #DataAnalytics #DataPlatform #DataGovernance #PlatformEngineering #InfoQ

  10. Learn about Cloudflare's Town Lake, its unified internal data platform, where billing workloads account for 53% of all platform queries.

    Built alongside Skipper, an AI-powered analytics agent, Town Lake unifies access to operational, billing, security, and business data that was previously spread across fragmented systems.

    Details here ➤ bit.ly/4bvWOGR

    #Cloudflare #ApacheIceberg #Postgres #DataAnalytics #DataPlatform #DataGovernance #PlatformEngineering #InfoQ

  11. Learn about Cloudflare's Town Lake, its unified internal data platform, where billing workloads account for 53% of all platform queries.

    Built alongside Skipper, an AI-powered analytics agent, Town Lake unifies access to operational, billing, security, and business data that was previously spread across fragmented systems.

    Details here ➤ bit.ly/4bvWOGR

    #Cloudflare #ApacheIceberg #Postgres #DataAnalytics #DataPlatform #DataGovernance #PlatformEngineering #InfoQ

  12. Learn about Cloudflare's Town Lake, its unified internal data platform, where billing workloads account for 53% of all platform queries.

    Built alongside Skipper, an AI-powered analytics agent, Town Lake unifies access to operational, billing, security, and business data that was previously spread across fragmented systems.

    Details here ➤ bit.ly/4bvWOGR

  13. 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 👉 blog.radwebhosting.com/underst #digitalsovereignty #vendorlockin #supplychain #businesscontinuance #datagovernance

  14. 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 👉 blog.radwebhosting.com/underst #digitalsovereignty #vendorlockin #supplychain #businesscontinuance #datagovernance

  15. 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 👉 blog.radwebhosting.com/underst #digitalsovereignty #vendorlockin #supplychain #businesscontinuance #datagovernance

  16. 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 👉 blog.radwebhosting.com/underst #datagovernance #digitalsovereignty #businesscontinuance #vendorlockin #supplychain

  17. 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 👉 blog.radwebhosting.com/underst #datagovernance #digitalsovereignty #businesscontinuance #vendorlockin #supplychain

  18. 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 👉 blog.radwebhosting.com/underst #datagovernance #digitalsovereignty #businesscontinuance #vendorlockin #supplychain

  19. 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 ...
    Continued 👉 #vendorlockin #businesscontinuance #datagovernance #supplychain #digitalsovereignty

    Understanding Vendor Lock-In: ...

  20. Du verlierst nicht wegen schlechter AI, sondern wegen schlechter Datengewohnheiten. Fragmentierte Systeme schaffen Mehrarbeit statt Business Value. 60–80 % des AI-Aufwands gehen in Datenaufbereitung, Lineage & Ownership. Starte mit dem Workflow, finanziere das Flywheel und veröffentliche deine AI-Policy vor dem Skalieren. #AI #DataGovernance #Analytics - Link im 2. Post

  21. Du verlierst nicht wegen schlechter AI, sondern wegen schlechter Datengewohnheiten. Fragmentierte Systeme schaffen Mehrarbeit statt Business Value. 60–80 % des AI-Aufwands gehen in Datenaufbereitung, Lineage & Ownership. Starte mit dem Workflow, finanziere das Flywheel und veröffentliche deine AI-Policy vor dem Skalieren. #AI #DataGovernance #Analytics - Link im 2. Post

  22. Du verlierst nicht wegen schlechter AI, sondern wegen schlechter Datengewohnheiten. Fragmentierte Systeme schaffen Mehrarbeit statt Business Value. 60–80 % des AI-Aufwands gehen in Datenaufbereitung, Lineage & Ownership. Starte mit dem Workflow, finanziere das Flywheel und veröffentliche deine AI-Policy vor dem Skalieren. #AI #DataGovernance #Analytics - Link im 2. Post

  23. According to TM Forum, 72 percent of operators are confident their AI is trustworthy—yet only 14 percent can produce externally-reviewable evidence ahead of impending regulations. telecomstechnews.com/news/tm-f #telecoms #regulation #aiact #politics #datagovernance #ai #technology

  24. According to TM Forum, 72 percent of operators are confident their AI is trustworthy—yet only 14 percent can produce externally-reviewable evidence ahead of impending regulations. telecomstechnews.com/news/tm-f #telecoms #regulation #aiact #politics #datagovernance #ai #technology

  25. According to TM Forum, 72 percent of operators are confident their AI is trustworthy—yet only 14 percent can produce externally-reviewable evidence ahead of impending regulations. telecomstechnews.com/news/tm-f #telecoms #regulation #aiact #politics #datagovernance #ai #technology

  26. According to TM Forum, 72 percent of operators are confident their AI is trustworthy—yet only 14 percent can produce externally-reviewable evidence ahead of impending regulations. telecomstechnews.com/news/tm-f #telecoms #regulation #aiact #politics #datagovernance #ai #technology

  27. According to TM Forum, 72 percent of operators are confident their AI is trustworthy—yet only 14 percent can produce externally-reviewable evidence ahead of impending regulations. telecomstechnews.com/news/tm-f

  28. Anthropic reported that #Claude now handles ~95% of its internal analytics requests, enabling employees to query business data directly instead of relying on data teams.

    Anthropic credits strong data governance, clear semantic definitions, and operational discipline as the primary drivers of success.

    🔗 Learn more: bit.ly/4uPN80U

    #AI #DataAnalytics #DataLake #DataGovernance #InfoQ

  29. Anthropic reported that #Claude now handles ~95% of its internal analytics requests, enabling employees to query business data directly instead of relying on data teams.

    Anthropic credits strong data governance, clear semantic definitions, and operational discipline as the primary drivers of success.

    🔗 Learn more: bit.ly/4uPN80U

    #AI #DataAnalytics #DataLake #DataGovernance #InfoQ

  30. Anthropic reported that #Claude now handles ~95% of its internal analytics requests, enabling employees to query business data directly instead of relying on data teams.

    Anthropic credits strong data governance, clear semantic definitions, and operational discipline as the primary drivers of success.

    🔗 Learn more: bit.ly/4uPN80U

    #AI #DataAnalytics #DataLake #DataGovernance #InfoQ

  31. Anthropic reported that #Claude now handles ~95% of its internal analytics requests, enabling employees to query business data directly instead of relying on data teams.

    Anthropic credits strong data governance, clear semantic definitions, and operational discipline as the primary drivers of success.

    🔗 Learn more: bit.ly/4uPN80U

    #AI #DataAnalytics #DataLake #DataGovernance #InfoQ

  32. Anthropic reported that now handles ~95% of its internal analytics requests, enabling employees to query business data directly instead of relying on data teams.

    Anthropic credits strong data governance, clear semantic definitions, and operational discipline as the primary drivers of success.

    🔗 Learn more: bit.ly/4uPN80U

  33. 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 ... Continued 👉 #supplychain #digitalsovereignty #datagovernance #businesscontinuance #vendorlockin

    Understanding Vendor Lock-In: ...

  34. 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 👉 blog.radwebhosting.com/underst #supplychain #datagovernance #digitalsovereignty #businesscontinuance #vendorlockin

  35. 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 👉 blog.radwebhosting.com/underst #supplychain #datagovernance #digitalsovereignty #businesscontinuance #vendorlockin

  36. 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 👉 blog.radwebhosting.com/underst #supplychain #datagovernance #digitalsovereignty #businesscontinuance #vendorlockin

  37. Your £2M Data Problem Becomes a £20M AI Risk by 2030

    Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/

    lizhendersondata.wordpress.com

  38. Your £2M Data Problem Becomes a £20M AI Risk by 2030

    Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/

    lizhendersondata.wordpress.com

  39. Your £2M Data Problem Becomes a £20M AI Risk by 2030

    Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/

    lizhendersondata.wordpress.com

  40. Your £2M Data Problem Becomes a £20M AI Risk by 2030

    Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/

    lizhendersondata.wordpress.com

  41. Your £2M Data Problem Becomes a £20M AI Risk by 2030

    Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/

    lizhendersondata.wordpress.com