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Tiens hier a été lancé une concertation IA et culture (bon en fait industrie culturelle) par C.Chappaz et R.Dati via la CSPLA. Dans les deux discours il est fait mention de qualité de la donnée et de donnée fiable. J'avoue j'ai ri mais j'ai ri. cc @CharlesNepote #DataLove #dataquality #IA #AI
Garbage in, garbage out – even Agentic AI can’t save you from yourself.
Artificial intelligence is only as brilliant as the data it’s spoon-fed – and spoiler alert: your data is often trash.
Whether it’s traditional machine learning, generative models, or your shiny new agentic systems, the pattern remains insultingly consistent:
• Bad data? Expect bad decisions.
• Incomplete data? Enjoy half-baked ideas.
• Outdated data? Say hello to irrelevant nonsense.
I often talk about what AI can or tragically still can’t do.
But here’s the real twist: the problem isn’t the system. It’s you. Or more specifically, the glorious mess you call your “data foundation.”
You don’t have a lack of innovation.
You have a lack of clean data structures, maintained knowledge bases, and basic contextual awareness.
And then you expect the AI to magically fill gaps that should never have existed in the first place.
Greg Cocks A Comprehensive Framework For Evaluating The Quality Of Street View Imagery
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https://doi.org/10.1016/j.jag.2022.103094 <-- shared paper
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“HIGHLIGHTS
• [They] propose the first comprehensive quality framework for street view imagery.
• Framework comprises 48 quality elements and may be applied to other image datasets.
• [They] implement partial evaluation for data in 9 cities, exposing varying quality.
• The implementation is released open-source and can be applied to other locations.
• [They] provide an overdue definition of street view imagery..."
#GIS #spatial #mapping #streetlevelimagery #Crowdsourcing #QualityAssessmentFramework #Heterogeneity #imagery #dataquality #metrics #QA #urban #cities #remotesensing #spatialanalysis #StreetView #Google #Mapillary #KartaView #commercial #crowsourced #opendata #consistency #standards #specifications #metadata #accuracy #precision #spatiotemporal #terrestrial #assessment
#OpenToWork | Data Engineer | ETL & Contrôle Qualité
CV PDF : http://gabriel.chandesris.free.fr/gabysblog/docs/CVGabrielChandesris.pdf
Expert #ETL #Python #SQL #DataQuality #BigData
Prêt à optimiser vos pipelines de données !
RT plz #i4emploi #Recrutement #Emploi #DataEngineering #Spark #Scala ...
Keep, Measure, and Curate
If you’re not curating the wisdom, knowledge, information, and data sources, things will get sticky, messy, and ugly.
http://inaniludibrio.com/2025/03/18/keep-measure-and-curate/
Inani Ludibrio · Keep, Measure, and CurateIf you’re not curating the wisdom, knowledge, information, and data sources, things will get sticky, messy, and ugly.
Oh, hey, #DataGovernance, #DataQuality, and #DataStewardship are constructs which have been around for as long as the relational database has been in existence, and are pathologically ignored because they reveal truth to power in uncomfortable ways.
https://newsie.social/@ZhiZhu/114059215101142694
NewsieZhi Zhu 🕸️ (@ZhiZhu@newsie.social)Attached: 1 image
DOGE's disastrous accounting
https://www.muskwatch.com/p/doges-disastrous-accounting
"the #data was littered w/duplicate entries, data errors, & items that demonstrated a fundamental misunderstanding of the federal contracting process...
an analysis of the data... actual savings that #DOGE has documented is about $2.6 billion... less than 5% of the claimed total of $55 billion.
...What follows is a selection of the most egregious #accounting errors committed by DOGE."
#Musk #Trump #Coup #Corruption #News #US #USA
The reason that #DataGovernance, #DataStewardship, and #DataQuality are quickly dismissed and ignored by #technostructures is because they are a forcing-function for #ontology, revealing #power dynamics of #InformationPolitics.
Ask me anything.
On a encore du boulot pour avoir de la vraie qualité dans nos données archivistique Cc @jordi et @bagolina : avec l'espoir de bientôt compléter les références avec les fonds AD 13 https://francearchives.gouv.fr/fr/agent/928355541?es_escategory=archives #Occitan #Felibrige #Marseille #Archives @archivistodon #dataquality
Replied in thread
Last year, I wrote a series of posts to emphasize that the most underestimated work-stream of #AI strategy involved #DataGovernance, #DataQuality, and #DataStewardship of #TrainingData libraries, because #LLMs are a #DataProducts.
I’m just a bro on the internet.
It didn’t have to be this way 
https://www.superversive.co/blog/how-to-make-it-work-for-you
SuperversiveGround-Truth and Gut-Check — SuperversiveI wrote a series of posts to emphasize that the most underestimated work-stream of AI strategy involved governance, quality, and stewardship of data assets: Stop “Evangelizing” Generative AI without Data Governance Clear, Simple & Wrong Commercial & Citizen Interests
Replied in thread
@andyjennings @GhostOnTheHalfShell
OpenAI is a data product and platform company.
Like all data products and platforms, garbage in, garbage out.
I don’t make the rules.
Solving the data quality problem in generative AI - The potential of generative AI has captivated both businesses and consumers alike, but... - https://www.infoworld.com/article/3715521/solving-the-data-quality-problem-in-generative-ai.html#tk.rss_all #artificialintelligence #softwaredevelopment #datagovernance #datamanagement #generativeai #dataquality
InfoWorldSolving the data quality problem in generative AIIt’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI.
Panini’s Law: the dysfunction of #dataliteracy is reflected in lack of trust and confidence in training #dataquality.
https://www.superversive.co/blog/organizational-schema-alignment
SuperversiveOrg Schema Alignment — SuperversiveData governance is making its way into AI-related job descriptions. Because an LLM is a data product. Garbage in, garbage out. The data scientists, aka data janitors, were saying this for a decade. The next “MBA Product Managers” will be schema designers for structured knowledge representa
#DataQuality criteria that is even more applicable to #TrainingData for #LLMs
The Chief AI Officer who isn’t budgeting, recruiting, and staffing red teams, bor including #DataGovernancr, #data stewardship, and #DataQuality in job descriptions for teams…isn’t a serious person.
https://techhub.social/@Techmeme/112270995362791750
TechHubTechmeme (@Techmeme@techhub.social)LinkedIn: the number of companies with a designated head of AI position or a chief AI officer (CAIO) has almost tripled globally in the past five years (Emma Jacobs/Financial Times)
https://t.co/iY09TEOgXe
http://www.techmeme.com/240414/p7#a240414p7
Half of the #TrainingData on the #internet was fake, and the other half was exaggerated.
That’s why the “#AI” evangelists refuse to talk about #DataGovernance, #DataStewardship, and #DataQuality, insisting on hiding behind a curtain.
@johncormier @jschwa1 @hosford42 @russellmcormond @argv_minus_one @Uair
When #AI Product Manager roles start to list #DataGovernance, stewardship, or #DataQuality as nice-to-haves in the job description, that’s when you’ll know the bubble is deflating.
Until then, there will be a lot of FAFO.
www.linkedin.comKevin Hu, PhD on LinkedIn: #dataengineering #dataquality #genai #ai #datascience | 47 comments70% of CEOs are investing in Generative AI, but 75% of execs don’t trust their data. How does that work?
Spoiler alert: It doesn’t. At best, companies are… | 47 comments on LinkedIn
@jschwa1 @hosford42 @russellmcormond @argv_minus_one @Uair
My thesis is that #LLMs are data products, and, as such, that implies that #ProductManagement must incorporate #FirstPrinciples of #DataGovernance, #DataStewardship, and #DataQuality in order to efficiently achieve desired objectives.
Otherwise, everyone is just wasting time and pissing away money, which is not a great message to deliver to the CFO signing off on the investment.
Why generative AI systems are stupid - This Axios article states what we already know: The responses coming from many generat... - https://www.infoworld.com/article/3714362/why-your-genai-systems-are-stupid.html#tk.rss_all #technologyindustry #cloudcomputing #generativeai #dataquality
InfoWorldWhy generative AI systems are stupidGenerative AI systems for business are alarmingly inaccurate. Data needs some serious attention to avoid wrong info, bias, or legal trouble.