🚨 KI-Infografiken: Toll anzusehen, Daten oft falsch. Elbphilharmonie 110m statt 108m, Eiffelturm-Fundament 25m statt 6,8m. Problem: Kein Kontext = halluzinierte Infos. Lösung: Recherche + Fact-Check.

👉 Meine Meinung: Ohne saubere Datenbasis macht man sich angreifbar. Fact-Check ist Pflicht, nicht optional.

(Picture & Prompt Credits to TechieSA, 03.01.2026, via X, "Landmark Infographics by GPT-1.5 Image"; Social Media-Bearbeitung: Confias AI Solutions)

#KI #DataQuality #AIFacts

Die im Projekt AQinDa entwickelte Webanwendung Constrainify hilft dabei, Datenqualität zu spezifizieren und zu analysieren, ohne dass dafür fortgeschrittenes technisches Know-How erforderlich ist. Unsere KollegInnen haben dazu im Rahmen eines Workshops eine Einführung verfasst: https://doi.org/10.5281/zenodo.18430881

#dataquality #metadata #datascience #digitalhumanities #vzg #gbv #AQinDa

Constrainify: Web Application to Specify and Analyze Data Quality

Constrainify is an open-source web application that enables domain experts (i.e. professionals working in specific application domains, such as the Digital Humanities) to specify and analyze data quality without requiring advanced technical skills. T

Zenodo

Want a better data stack + love fun data-pun stickers?

Join the Data Valentine Challenge Feb 9–13 🦾

Attend all 5 webinars + 1 social post = get a sticker.

Signup here: https://reccehq.com/data-valentine-week-challenge/

#DataEngineering #DataQuality

Next week: Fall in love with your data 💕 The Data Valentine Challenge February 9–13

💘 5 days, 5 companies, 5 real fixes for your data stack

Data teams are drowning. You don't need another course. You need quick wins.

Join us for 30-60-minute daily challenges:
💗 Fix what's broken
💗 Ship with confidence
💗 Stop firefighting

Featuring: #Recce | #Greybeam | #dltHub | #DatabaseTycoon | #Bauplan

Registration opens soon 📅

#DataEngineering #DataQuality #DataOps

Scaling AI for the NFL and the Olympics reveals a bigger problem: data quality, not smarter prompts. Learn why vector databases, defensive data engineering, and RAG matter for reliable sports analytics and enterprise AI. Open‑source tools can help—read the full analysis. #DataQuality #VectorDB #SportsAnalytics #EnterpriseAI

🔗 https://aidailypost.com/news/ai-nfl-olympic-scale-needs-data-quality-creed-not-better-prompts

Marketers bet on AI media despite struggling with generative AI adoption: Mediaocean survey shows 54% of marketers increasing AI media spend while 42% struggle with data quality issues preventing broader AI implementation. https://ppc.land/marketers-bet-on-ai-media-despite-struggling-with-generative-ai-adoption/ #AIMedia #DigitalMarketing #MarketingTrends #GenerativeAI #DataQuality
Marketers bet on AI media despite struggling with generative AI adoption

Mediaocean survey shows 54% of marketers increasing AI media spend while 42% struggle with data quality issues preventing broader AI implementation.

PPC Land

7 Ways Data Appending Enriches Your Customer Database

Data appending services help B2B teams complete missing contact details, refresh outdated records, and improve CRM accuracy. Cleaner, enriched data supports better segmentation, targeted outreach, and more confident sales and marketing decisions.

Learn more: https://www.linkedin.com/pulse/7-ways-data-appending-enriches-your-customer-database-habile-data-pussf/

#DataQuality #CRM #B2BData #MarketingTech

Data Manager spécialisé dans la gouvernance des données, l’intégration de systèmes et la conformité. À la recherche de nouveaux défis pour optimiser la gestion des données.

#DataManagement #DataGovernance #Compliance #DataQuality #DataManager ...

https://www.linkedin.com/posts/gabriel-chandesris_datamanagement-datagovernance-compliance-share-7420036607195365376-n_aM

Poor data quality costs organisations millions annually, but advanced automation and human-in-the-loop approaches can significantly mitigate these losses. Effective content repair enhances decision-making, trust, and operational efficiency.
Discover more at https://smarterarticles.co.uk/the-real-cost-of-bad-data-automated-repair-and-business-impact?pk_campaign=rss-feed
#HumanInTheLoop #DataQuality #AIinBusiness #ContentRepair
The Real Cost of Bad Data: Automated Repair and Business Impact

Somewhere in a data warehouse, a customer record sits incomplete. A postcode field contains only the first half of its expected value. ...

SmarterArticles
Poor JSON validation and schema drift quietly cause data failures costing enterprises millions annually. Implementing layered defence, validation, and observability strategies can mitigate these risks and improve data integrity.
Discover more at https://smarterarticles.co.uk/the-quiet-catastrophe-how-bad-json-costs-enterprises-millions?pk_campaign=rss-feed
#DataQuality #SchemaValidation #DataGovernance #HumanInTheLoop
The Quiet Catastrophe: How Bad JSON Costs Enterprises Millions

Somewhere in a data centre, a pipeline is failing. Not with a dramatic explosion or a cascade of red alerts, but with the quiet malevol...

SmarterArticles