48 STUNDEN #Wilhelmsburg | SA 13 JUN 26 | Freilichtbühne Inselpark: DJ-SETS/Party 14-22 Uhr: Liquid Concrete & datadrift | House, UK-Garage, Breaks
June 12, 2026 at 11:07 AM
48 STUNDEN #Wilhelmsburg | SA 13 JUN 26 | Freilichtbühne Inselpark: DJ-SETS/Party 14-22 Uhr: Liquid Concrete & datadrift | House, UK-Garage, Breaks
Silent model failures are real! 🚨 Monitor for data drift, prediction drift, model performance, and data quality to catch early signs of decay. Use Evidently + Prometheus/Grafana for free, robust monitoring. #ModelMonitoring #DataDrift #MachineLearning 🤖
Model Monitoring in MLOps: Tools, Metrics & Best Practices
Monitor ML models in production: catch data drift, prediction drift, and performance decay with top tools and a runnable Evidently drift check.
kodekloud.com
June 25, 2026 at 10:39 AM
Silent model failures are real! 🚨 Monitor for data drift, prediction drift, model performance, and data quality to catch early signs of decay. Use Evidently + Prometheus/Grafana for free, robust monitoring. #ModelMonitoring #DataDrift #MachineLearning 🤖
Your model didn’t get dumb—your data moved. Dataset shift turns yesterday’s “accurate” into today’s expensive mistakes. Monitor inputs, catch drift, retrain fast. #MLOps #DataDrift https://glcnd.io/understanding-dataset-shift-and-its-implications-for-mlops/
January 20, 2026 at 10:18 AM
Your model didn’t get dumb—your data moved. Dataset shift turns yesterday’s “accurate” into today’s expensive mistakes. Monitor inputs, catch drift, retrain fast. #MLOps #DataDrift https://glcnd.io/understanding-dataset-shift-and-its-implications-for-mlops/
✅ Module 5 of #MLOpsZoomcamp @datatalks.bsky.social
Built a full monitoring stack using Docker, Grafana, PostgreSQL, and Evidently.
Tracked prediction drift on NYC taxi data, orchestrated with Prefect.
Monitoring isn’t optional. It’s essential.
#MLOps #MachineLearning #DataDrift
Built a full monitoring stack using Docker, Grafana, PostgreSQL, and Evidently.
Tracked prediction drift on NYC taxi data, orchestrated with Prefect.
Monitoring isn’t optional. It’s essential.
#MLOps #MachineLearning #DataDrift
June 20, 2025 at 3:37 PM
✅ Module 5 of #MLOpsZoomcamp @datatalks.bsky.social
Built a full monitoring stack using Docker, Grafana, PostgreSQL, and Evidently.
Tracked prediction drift on NYC taxi data, orchestrated with Prefect.
Monitoring isn’t optional. It’s essential.
#MLOps #MachineLearning #DataDrift
Built a full monitoring stack using Docker, Grafana, PostgreSQL, and Evidently.
Tracked prediction drift on NYC taxi data, orchestrated with Prefect.
Monitoring isn’t optional. It’s essential.
#MLOps #MachineLearning #DataDrift
I got a ref for SONIC, one of the 3 exes in the DriftVerse (one of my new universes; doc incoming). Thanks to @artsygussy.bsky.social for drawing this fella!
#execommunity #sonicexe #exeoc #datadrift
#execommunity #sonicexe #exeoc #datadrift
January 17, 2025 at 12:55 AM
I got a ref for SONIC, one of the 3 exes in the DriftVerse (one of my new universes; doc incoming). Thanks to @artsygussy.bsky.social for drawing this fella!
#execommunity #sonicexe #exeoc #datadrift
#execommunity #sonicexe #exeoc #datadrift
LLMs drift as user needs evolve—breaking alignment and skewing evaluations. Fixing it takes more than model tweaks. It takes:
✅ Drift detection
✅ Curated feedback
✅ Expert validation
How iMerit does it: imerit.net/resources/bl...
#RLHF #DataDrift #AIAlignment #AngoHub #MLOps
✅ Drift detection
✅ Curated feedback
✅ Expert validation
How iMerit does it: imerit.net/resources/bl...
#RLHF #DataDrift #AIAlignment #AngoHub #MLOps
July 18, 2025 at 2:21 PM
LLMs drift as user needs evolve—breaking alignment and skewing evaluations. Fixing it takes more than model tweaks. It takes:
✅ Drift detection
✅ Curated feedback
✅ Expert validation
How iMerit does it: imerit.net/resources/bl...
#RLHF #DataDrift #AIAlignment #AngoHub #MLOps
✅ Drift detection
✅ Curated feedback
✅ Expert validation
How iMerit does it: imerit.net/resources/bl...
#RLHF #DataDrift #AIAlignment #AngoHub #MLOps
🌍 Worth taking a closer look: • I noticed alerts spiking 12% after homolog data drift. • The model mis‑sees 7% of ransomware patterns. • A simple test with Keras‑metrics flagged it early. Takeaway: Drift erodes trust. Can we trust our models? #DataDrift #Security #AI
Five signs data drift is already undermining your security models
Data drift happens when the statistical properties of a machine learning (ML) model's input data change over time, eventually rendering its predictions less accurate. <a href="https://venturebeat.com/security/ocsf-explained-the-shared-data-la
venturebeat.com
April 13, 2026 at 11:00 AM
🌍 Worth taking a closer look: • I noticed alerts spiking 12% after homolog data drift. • The model mis‑sees 7% of ransomware patterns. • A simple test with Keras‑metrics flagged it early. Takeaway: Drift erodes trust. Can we trust our models? #DataDrift #Security #AI
Machine learning isn’t “set it and forget it.” Models drift, hurting accuracy and decisions. Our latest blog covers #modeldrift, #datadrift, #conceptdrift, and why real-time, scalable data pipelines are key for reliable production ML.
https://monkeylink.co/094ae9
https://monkeylink.co/094ae9
Model Drift in Machine Learning | Aerospike
What model drift is, how data and concept drift arise, how to detect drift, and how monitoring and retraining keep production models accurate in real time.
aerospike.com
December 10, 2025 at 11:30 PM
Machine learning isn’t “set it and forget it.” Models drift, hurting accuracy and decisions. Our latest blog covers #modeldrift, #datadrift, #conceptdrift, and why real-time, scalable data pipelines are key for reliable production ML.
https://monkeylink.co/094ae9
https://monkeylink.co/094ae9
New post on how scientific language changes and why we need to be careful when using past and future data in machine learning even in natural language processing.
Check it out here:
The post: lnkd.in/p/eeK_q26y
The code: github.com/NikNord174/a...
Check it out here:
The post: lnkd.in/p/eeK_q26y
The code: github.com/NikNord174/a...
#datascience #machinelearning #nlp #mlevaluation #datadrift | Nikolai Orlov
Scientific language is changing. And it’s breaking my model.🤖
Last week, I showed how mixing past and future data can make a solar-generation forecast look better than it really is. This project reve...
lnkd.in
August 19, 2026 at 11:19 AM
New post on how scientific language changes and why we need to be careful when using past and future data in machine learning even in natural language processing.
Check it out here:
The post: lnkd.in/p/eeK_q26y
The code: github.com/NikNord174/a...
Check it out here:
The post: lnkd.in/p/eeK_q26y
The code: github.com/NikNord174/a...
Your model nails the test set. Production? Catastrophe. The gap isn't your architecture, it's data drift. Your pipeline watches accuracy metrics while the real world shifts underneath. Start monitoring feature distributions, not just F1 scores. #MLOps #DataDrift
July 27, 2026 at 12:42 AM
Your model nails the test set. Production? Catastrophe. The gap isn't your architecture, it's data drift. Your pipeline watches accuracy metrics while the real world shifts underneath. Start monitoring feature distributions, not just F1 scores. #MLOps #DataDrift
Tom @bur2chee of @Humana strikes again - this time explaining the basics of #datapipelines, #datadrift, #intentdriven pipelines, #dataops and more. Great stuff! I ❤️ our customers! https://www.youtube.com/watch?v=gvmQl5woqzc
November 15, 2024 at 9:54 PM
Tom @bur2chee of @Humana strikes again - this time explaining the basics of #datapipelines, #datadrift, #intentdriven pipelines, #dataops and more. Great stuff! I ❤️ our customers! https://www.youtube.com/watch?v=gvmQl5woqzc
"Businesses running on data are vulnerable to #datadrift: the unexpected, unannounced and unending changes to data infrastructure that disrupt data flow" - @StreamSets CTO @aprabhakar explains the rise of the #DataOps mindset at @ForbesTech https://t.co/ffZFChXuqf
November 15, 2024 at 9:53 PM
"Businesses running on data are vulnerable to #datadrift: the unexpected, unannounced and unending changes to data infrastructure that disrupt data flow" - @StreamSets CTO @aprabhakar explains the rise of the #DataOps mindset at @ForbesTech https://t.co/ffZFChXuqf
Trying to capture the essence of #DataDrift while talking #DataOps with @JohnGSchmidt
November 15, 2024 at 9:45 PM
Trying to capture the essence of #DataDrift while talking #DataOps with @JohnGSchmidt
Another take on 'whither #Hadoop', this time by @Teradata's @chad_meley. Interesting that Chad calls out Hadoop's ability to handle #datadrift as a strength - that's kind of @StreamSets' origin story. http://bit.ly/2RdnWQL
November 15, 2024 at 9:41 PM
Another take on 'whither #Hadoop', this time by @Teradata's @chad_meley. Interesting that Chad calls out Hadoop's ability to handle #datadrift as a strength - that's kind of @StreamSets' origin story. http://bit.ly/2RdnWQL
A great example of #datadrift and how StreamSets Data Collector can manage it https://twitter.com/streamsets/status/1027275512467603456
November 15, 2024 at 9:23 PM
A great example of #datadrift and how StreamSets Data Collector can manage it https://twitter.com/streamsets/status/1027275512467603456
Understanding the causes and consequences of #DataShift is crucial in the world of data science. Stay informed on how to adapt to different #DataTypes to mitigate risks and maximize insights. #DataDrift https://medium.com/learning-data/understanding-data-shift-in-machine-learning-causes-types-and-c…
https://medium.com/learning-data/understanding-data-shift-in-machine-learning-causes-types-and-consequences-cd31a7afcef3?source=rss----eec44e936bf1---4
Causes, Types, and Consequences of Data Shift (a.k.a. Data Drift)
medium.com
May 15, 2025 at 6:43 PM
Understanding the causes and consequences of #DataShift is crucial in the world of data science. Stay informed on how to adapt to different #DataTypes to mitigate risks and maximize insights. #DataDrift https://medium.com/learning-data/understanding-data-shift-in-machine-learning-causes-types-and-c…
I have a ref here for the final (ha ha) main exe of the DriftVerse (doc incoming when I get to 50 followers), courtesy of @artsygussy.bsky.social (thanks for the art again). Heeere's FINAL!
#execommunity #sonicexe #exeoc #datadrift
#execommunity #sonicexe #exeoc #datadrift
January 24, 2025 at 6:05 PM
I have a ref here for the final (ha ha) main exe of the DriftVerse (doc incoming when I get to 50 followers), courtesy of @artsygussy.bsky.social (thanks for the art again). Heeere's FINAL!
#execommunity #sonicexe #exeoc #datadrift
#execommunity #sonicexe #exeoc #datadrift
I got another ref for SCOURGE, the second exe in the DriftVerse (will drop the doc when I get to 50 followers). Thanks to @artsygussy.bsky.social for drawing him!
#execommunity #sonicexe #exeoc #datadrift
#execommunity #sonicexe #exeoc #datadrift
January 17, 2025 at 1:39 PM
I got another ref for SCOURGE, the second exe in the DriftVerse (will drop the doc when I get to 50 followers). Thanks to @artsygussy.bsky.social for drawing him!
#execommunity #sonicexe #exeoc #datadrift
#execommunity #sonicexe #exeoc #datadrift
Interessante site van @NOSop3 over de nieuwe wetten over de inlichtingendiensten en de impact op privacy: #datadrift
lab.nos.nl/projects/priva…
lab.nos.nl/projects/priva…
November 29, 2024 at 7:31 PM
Interessante site van @NOSop3 over de nieuwe wetten over de inlichtingendiensten en de impact op privacy: #datadrift
lab.nos.nl/projects/priva…
lab.nos.nl/projects/priva…
AI Premium Drift vs Actuarial Models: Health Insurance Warning?
AI models can bump senior health premiums by up to 10% af
https://healthplanning.help/ai-premium-drift-vs-actuarial-models-health-insura/
#aipredictivemodels #healthinsurancepremiums #datadrift
AI models can bump senior health premiums by up to 10% af
https://healthplanning.help/ai-premium-drift-vs-actuarial-models-health-insura/
#aipredictivemodels #healthinsurancepremiums #datadrift
May 20, 2026 at 12:18 AM
AI Premium Drift vs Actuarial Models: Health Insurance Warning?
AI models can bump senior health premiums by up to 10% af
https://healthplanning.help/ai-premium-drift-vs-actuarial-models-health-insura/
#aipredictivemodels #healthinsurancepremiums #datadrift
AI models can bump senior health premiums by up to 10% af
https://healthplanning.help/ai-premium-drift-vs-actuarial-models-health-insura/
#aipredictivemodels #healthinsurancepremiums #datadrift
Dat je het maar weet! Kan de overheid straks meelezen met jouw appjes? #datadrift via @NOSop3
November 19, 2024 at 4:37 PM
Dat je het maar weet! Kan de overheid straks meelezen met jouw appjes? #datadrift via @NOSop3
Rückschau transform-Dialog: Der Hype um AI Agents unter der Lupe mit #steadforce.
#sensoirk #cluster #baywrn
www.linkedin.com/posts/strate...
#sensoirk #cluster #baywrn
www.linkedin.com/posts/strate...
#mindset #silentfailure #industrialai #steadforce #sensorikbayern #techbase #regensburg #transformdialog #datadrift #innovation #spritzguss | Strategische Partnerschaft Sensorik e.V.
𝐑𝐞𝐚𝐥𝐢𝐭ä𝐭𝐬𝐜𝐡𝐞𝐜𝐤 𝐢𝐦 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦-𝐃𝐢𝐚𝐋𝐨𝐠: 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐨𝐝𝐞𝐫 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 – 𝐰𝐨 𝐢𝐬𝐭 𝐝𝐞𝐫 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐥𝐥𝐞 𝐇𝐞𝐛𝐞𝐥?
„Heute haben wir oft eher das Problem, dem Kunden KI auszureden." Selbst wenn die stati...
www.linkedin.com
March 18, 2026 at 9:11 PM
Rückschau transform-Dialog: Der Hype um AI Agents unter der Lupe mit #steadforce.
#sensoirk #cluster #baywrn
www.linkedin.com/posts/strate...
#sensoirk #cluster #baywrn
www.linkedin.com/posts/strate...
February 9, 2025 at 3:36 PM
📊 Implemented data drift detection using Evidently! Now my ML model can automatically detect when incoming data patterns change and alert for potential model
retraining needs.
Real-time monitoring = Production-ready ML!
#MLOPSZOOMCAMP #DataDrift #MLOps #Evidently
retraining needs.
Real-time monitoring = Production-ready ML!
#MLOPSZOOMCAMP #DataDrift #MLOps #Evidently
July 15, 2025 at 8:03 PM
📊 Implemented data drift detection using Evidently! Now my ML model can automatically detect when incoming data patterns change and alert for potential model
retraining needs.
Real-time monitoring = Production-ready ML!
#MLOPSZOOMCAMP #DataDrift #MLOps #Evidently
retraining needs.
Real-time monitoring = Production-ready ML!
#MLOPSZOOMCAMP #DataDrift #MLOps #Evidently