Animal Tech: Why Medication Tracking And Data Is The Next Frontier
The value of AI and LLMs in agriculture will be severely limited by poor data accuracy and the validity of data.
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AI Has A Consumption Problem—And Your Organization Is Feeding It Poorly
The intelligence layer they build doesn’t just serve today’s AI tools; it becomes the solid foundation for whatever comes next.
Data Quality 2.0: From Scoring To Data Reliability Engineering
Scores show outcomes, but they don’t reveal how a data system is built, tested and operated, or whether the data meets the needs of the business.
[2606.03364] BlobShuffle: Cost-Effective Repartitioning in Stream Processing Systems via Object Storage Exemplified with Kafka Streams
Abstract page for arXiv paper 2606.03364: BlobShuffle: Cost-Effective Repartitioning in Stream Processing Systems via Object Storage Exemplified with Kafka Stre...
How Public Web Data Can Power Smarter Game Industry Strategies
As the gaming industry becomes more data-driven, it can exemplify how web intelligence helps improve business performance and player experience.
Agentic AI Readiness Is A Data Problem, Not An AI Problem
Agentic AI will transform enterprise operations. I believe that. But the transformation will not start with the agent. It will start with the data the agent dep...
The USB drive in your drawer is slowly losing your data right now
If you have a drawer full of USB drives you transferred who-knows-what to over the years, check them because your data could slowly be degrading.
Inside the new technology that collects critical hurricane data
Atlantic hurricane season starts June 1, and
Why Consent Is Failing In Practice
Agreeing to a single consent banner can imply agreement to hundreds of downstream data flows that users effectively don't have the choice to opt out of.
Why real-time data is reshaping claims and reserve strategy
Instead of waiting for claims to confirm damage patterns, carriers can begin identifying likely impact zones earlier.
The Agentic Enterprise Needs Better Data, Not Bigger Promises
As companies race to deploy agentic AI, a new consensus is forming around the gap between ambition and readiness. The technology is advancing. The
The Importance of Vehicle Data Transparency in Modern Mobility
Discover how vehicle data transparency improves safety, trust, compliance, and efficiency across modern mobility ecosystems.
These 7 file formats will outlive everything you're using to store them
For preservation, file formats matter just as much as the storage medium.
The Hidden Cost of Cheap TVs
Screens have gotten inexpensive—and they’re watching you back.
Data you could have observed but didn't — LessWrong
You're running a study that involves keeping records about humans. You have a spreadsheet with rows for each person and columns for height, weight, a…
What AI Governance Can Learn From The Data Governance Era
Data governance took most enterprises a decade to get right, and those that started late paid the price.
Lacking data policy is more than a research problem, it's a government performance problem
COMMENTARY | The ongoing erosion of the federal statistical system, marked by broken time series and a workforce crisis, threatens government capacity t...
[2304.10544] What is the message? Perspectives on Visual Data Communication
Abstract page for arXiv paper 2304.10544: What is the message? Perspectives on Visual Data Communication
Europe No Longer Trusts America With Its Data
Understand the significance of European digital sovereignty in the context of sensitive data protection from American tech companies.
[2605.28238] Approximate Label Symmetries Improve Data Scaling
Abstract page for arXiv paper 2605.28238: Approximate Label Symmetries Improve Data Scaling
Optimizing Cross-Department Data Pipelines for Smarter Decisions
Fragmented data pipelines create delays and errors in decision-making. Finance, sales and operations teams often rely on disconnected systems. Structure...
Privacy Isn't Dead, But It Is Inconvenient
Is sharing your data worth what you’re getting out of it? That may be the wrong question to ask when you are thinking about whether to share.