Data

Data Poisoning in Machine Learning: Why and How People Manipulate Training Data

missed but hugely vital a part of enabling machine learning and subsequently AI to operate. Generative AI corporations are scouring the world for more data continuously because this raw material is required in...

The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling

Introduction an information company really grow? This week what would have been news a 12 months ago was not news. Snowflake invested in AtScale, a provider of semantic layer services in a strategic investment within...

Why Human-Centered Data Analytics Matters More Than Ever

where being has develop into a badge of credibility. Organizations proudly talk in regards to the dashboards, AI strategies, predictive models, and automation they've invested and reaped advantages from. As the web...

Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries

1. Topic modelling has recently progressed in two directions. The improved statistical methods stream of Python packages focuses on more robust, efficient, and preprocessing-free models, producing fewer junk topics (e.g., FASTopic). The opposite relies...

From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric

of announcements from the recent FabCon Europe in Vienna, one which will have gone under the radar was in regards to the enhancements in performance and price optimization for Dataflows Gen2. Before we delve...

Under the Uzès Sun: When Historical Data Reveals the Climate Change

, I'm biologically required to endure the identical loop of small talk yearly: “It’s boiling, isn’t it? Way hotter than 2020,” or the classic, “Back in my day, we actually had 4 seasons, not...

Hyperscale AI data centers

In sprawling stretches of farmland and industrial parks, supersized buildings full of racks of computers are arising to fuel the AI race. These engineering marvels are a brand new species of infrastructure: supercomputers...

Optimizing Data Transfer in Batched AI/ML Inference Workloads

is a to Optimizing Data Transfer in AI/ML Workloads where we demonstrated using NVIDIA Nsight™ Systems (nsys) in studying and solving the common data-loading bottleneck — occurrences where the GPU idles while it waits for input...

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