data_SDP

#Data Management evangelist, passionate about #Data #InfoGov #DataGov #MDM #DataQuality #DQ #EIM #AI #ML
#InfoStrategy #CDO

[Ruben Hassid @rubenhassid]

BREAKING: Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all.

They just memorize patterns really well.

Here's what Apple discovered:

(hint: we're not as close to AGI as the hype suggests)

[data_SDP @data_SDP]

Data governance for AI? Think of it as the bouncer at the club—keeping the messy data drama out and letting the good insights party! 🕺💾 #AIEthics #DataGovernance #AI

[data_SDP @data_SDP]

Data governance for AI? Think of it as teaching your AI to eat its veggies—keeps it healthy, trustworthy, and out of the cookie jar of chaos. 🥗🤖 #AIEthics #DataGovernance

[data_SDP @data_SDP]

Good data governance: the unsung hero keeping AI from turning your org's data into a chaotic soap opera. 🧼📊 #DataGov #AI

[data_SDP @data_SDP]

AI without data governance is like a toddler with a paintbrush—cute, chaotic, and bound to make a mess! 🖌️ Keep your data tidy, or your AI might just "redecorate" your business. 😜 #DataGovernance #AI

[data_SDP @data_SDP]

Data governance for AI: because even algorithms need a babysitter to keep their biases in check and their outputs squeaky clean! 🧠💾 #AIEthics #DataGovernance #AI

[data_SDP @data_SDP]

Data governance for AI? Think of it as teaching your model table manners before it feasts on your data buffet. No crumbs, no chaos! 🥂 #AIEthics #DataGovernance #AI

[data_SDP @data_SDP]

Good data governance: the unsung hero keeping AI from turning your insights into a chaotic meme fest. 🧠💾 #AIEthics #datagovernance #AI

[Malcolm Chisholm @MDChisholm]

Shadow AI? It is already happening. Individuals, teams, departments are using AI as they see fit. Even using ChatGPT to get information that business decisions are based on would constitute Shadow AI. Even Data Governance can be impacted. I heard a story of a company where “data stewards” were asked to supply definitions for business terms, and just asked ChatGPT to write them.

Without getting into the problems, what we need is effective policies to address this behavior. Who will write these policies? With Shadow IT, it is credible that IT develops the policies as here “Shadow” means using applications and tools not supported by IT. But with AI we may need a collaborative effort with Legal, Strategy, IT, and Data Governance all weighing in. Ultimately, one unit will have to administer the policy development process, and I would suggest it should be Data Governance. In that case, it may need to be rebranded as AI & Data Governance.

Let’s see what happens

#AI #llm #datagovernance #aigovernance #aiethics #data #datamanagement

[data_SDP @data_SDP]

The real headache for these AI wannabes? Garbage in, garbage out!
Their data's so bad, it's like feeding a supercomputer with scraps from the dumpster!
#AI #dataquality

[Sue (Hay) Waite @SueHayWaite]

@SAP has been named a Leader in The Forrester Wave: Master Data Management, Q2 2023 report. Learn more about this analyst recognition. https://t.co/gF0ztYCwhG #SAPBTP #SAPMDG

[Data Gov Institute @DGIFramework]

One of the tenets of Data Governance is that enterprise data doesn’t “belong” to individuals. It is an asset that belongs to the enterprise. Still, it needs to be managed. Read more in this post: Assigning Data Ownership https://t.co/9szxCatoJW #PracticalGuidance #DataGovernance

[Malcolm Chisholm @MDChisholm]

I continue to be puzzled by the widespread assumption that #datagovernace needs a Data Governance Council to run it. This is to be comprised of decision-makers from around the enterprise. They have no expertise in data governance, can probably only meet for one hour a month, and already have jobs that demand their full attention. The idea of the need for such a body has to come from the IT “order-taker” mindset of “tell me what your requirements are, and I will go automate them”. Of course, if the Council does not know what the requirements are, or provides inaccurate or incomplete requirements, then any failure of Data Governance is on them.
#datamanagement #mdm #metadata

[MDM @mdm_za]

What are the ten biggest #dataquality issues you face? https://t.co/3vfKzV6srq
We explore why data quality short cuts are common (and dangerous) and a strategy for change

[Dr. Thomas Redman @thedatadoc1]

Please check out our recent Harvard Business Review article “Your Data Strategy Needs to Include Everyone,” by myself, @tdav, Roger Hoerl and @DiegoKuonen

This article digs deep to understand why most organizations struggle with d…https://t.co/szIYEXMy5m https://t.co/hkZW26MLBW

[Malcolm Chisholm @MDChisholm]

#businessglossary, #tags, #keywords, and #hashtags. Searching for data in a #datacatalog with millions of columns is “difficult”. Even searching hundreds or thousands of datasets is problematic. One way to address this is to tag data assets (aka keywords). But the problem is our tags/keywords will be specialized terms from our business more than common terms used by most speakers of our language. If we let everyone choose their own tags we will get the Tower of Babel. One way to mitigate this is to have one tag/keyword for each Preferred Term in a business glossary. This can be used to tag any data asset and there should be no argument about what it means. It is a headscratcher to me why this is not done more often. #protip: to get great insights into keywording, follow Clemency Wright - Keywording Consultant on #LinkedIn (I do) – a really great resource. #datagovernance #metadata

[Malcolm Chisholm @MDChisholm]

Can there be a “single version of the truth”? Well, it depends on what you mean by “single version of the truth”. In my experience, different people mean different things by the term “single version of the truth” (e.g. a reliable #MDM Customer hub for one; a Business Glossary for another). If we can’t find the true meaning of “single version of the truth” then maybe it is just a meaningless slogan that substitutes for having to do difficult thinking. #semantics #definitions #datagovernance #businessglossary

[Iver van de Zand @IvervandeZand]

Discover Patterns in Master Data Using Machine Learning | SAP IBP 2305 Release Highlight

#sapbtp #masterdata #sapibp #release #machinelearning #ml

This post is also posted in the SAP Data & Analytics technology LinkedIn group s…https://t.co/FBdWJYWho3 https://t.co/qyjwziKwB5

[Malcolm Chisholm @MDChisholm]

A major advance if the Industrial Age was the efficiency gains produced by division of labour (Adam Smith). This resulted in specialization and organisational units each with a narrow focus. Now, in the Information Age, data is not confined to narrow organisational units (silos) but flows across the enterprise. Our Industrial Age organisational architecture cannot deal with this new paradigm, which is the root of many of our #datagovernance problems. [The late Larry English made this point frequently]. #datamanagement #analytics #datascience

[Malcolm Chisholm @MDChisholm]

#dataproducts. One of the surprises for me in learning about #product #MDM was that “romantic description” is a distinct #metadata #attribute. It is the description that has to appear on an #ecomm site. So, for #dataproducts, what are the #semantics needed beyond regular description/definition? Have we even begun to think in these terms?