Latest updates for Bad Data

Fresh curated links around Bad Data are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Best Practices for Handling Bad Data in Stream Processing Platforms
  • Five data problems we see at almost every company
  • When "Roughly Right" Looks Like a Liability: Engineering Financial-Grade Data Pipelines

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Fresh articles and ideas

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dzone.com /1 month ago

Best Practices for Handling Bad Data in Stream Processing Platforms

Today, stream processing platforms facilitate the real-time analysis of data flowing continuously from Internet of Things (IOT) devices, financial transactions, web applications an...

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rudderstack.com /5 days ago

Five data problems we see at almost every company

Incomplete conversions, bot traffic, drifted events, consent, and identity: five data problems we see at almost every company, and how teams fix them.

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dzone.com /1 month ago

When "Roughly Right" Looks Like a Liability: Engineering Financial-Grade Data Pipelines

Analytics teams do not get too upset about small errors. If a product dashboard is off by half a percent on a Tuesday, nobody files a ticket. If your marketing funnel counts some w...

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towardsdatascience.com /1 month ago

Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch

Five failure modes that survive constrained decoding, and why your schema validator will never catch them. The post Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LL...

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medium.com /3 days ago

Why AI Projects Fail: The Data Quality Problem Nobody Can Ignore

Businesses invest in powerful AI models, but many overlook the foundation that determines whether those models can deliver reliable…Continue reading on Medium »

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dev.to /1 month ago

Your LLM Telemetry Table Does Not Have One Denominator

Originally published on hexisteme notes. I had an LLM telemetry report with the usual reassuring furniture: medians, interquartile ranges, sample sizes, and bootstrap intervals. T...

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medium.com /1 month ago

When Clean Data Lies: The Hidden Traps of Data Preprocessing

Why a perfectly clean dataset can still produce a dangerously misleading machine learning modelContinue reading on Medium »

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dev.to /1 month ago

38% of an analyst's questions get "no records found" when the data is right there

Your text-to-SQL agent has a failure mode that logs nothing, alerts nothing, and returns a confidently wrong answer. I finally put a number on how often it can happen, and on a sma...

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databricks.com /1 month ago

RADAR: Catch gray failures with anomaly detection

Some of the most damaging outages are the ones your monitoring never flags: a slice...

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mddennis.medium.com /1 week ago

When the Model Isn’t the Problem

How vague rubrics, reviewer disagreement, and weak data-quality processes can distort LLM performance resultsContinue reading on Medium »

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wired.com /1 month ago

A US Census Report on Noncitizen Voting Used Bad Data to Reach Faulty Conclusions

Trump has touted a recent Census report. WIRED found grave flaws in its analysis and the process behind it, and confirmed the identity of several of its authors—among them a one-ti...

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habr.com /1 month ago

−1000% занятости: как я нашёл дыры в собственном опубликованном датасете

Мы выложили открытый датасет по загруженности парковок, а потом увидели в нём процент занятости со значением −1000. Дальше — расследование, в котором каждая следующая гипотеза оказ...

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towardsdatascience.com /1 day ago

Don’t Let Messy Data Bend Your Curves

Robust Estimation Series: Building Accurate Curves with Polynomials and Splines With Spurious Data The post Don’t Let Messy Data Bend Your Curves appeared first on Towards Data Sci...

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feeds.dzone.com

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dev.to

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habr.com

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medium.com

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rudderstack.com

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towardsdatascience.com

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