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The Poison in the Pipeline: Why AI Training Data Is Your Biggest Security Blind ...
TOAN is a toolkit designed to simplify the generation of poisoned datasets for machine learning robustness research. It unifies st...
Stop Drowning in AI Models: A 3-Pillar Framework for Evaluation
Evaluating AI models shouldn't require weeks of setup or custom tooling for each comparison. This framework breaks model evaluatio...
Retail AI: How Data-Driven Decisions Will Redefine Commerce in 2026
In 2026, AI is no longer an experiment. It is the operating system for retail. The biggest shift is toward focused AI solutions th...
Data Monetization Strategies in Government Digital Platforms
Government data is not merely a by-product of governance, it's a strategic asset, writes Frida Ghitis. Ghitis: Government cannot b...
Predicting the Future: Using Machine Learning to Boost Efficiency in Distributed...
Distributed Computing systems are often highly inefficient. Machine Learning solves this by leveraging massive data sets to predic...
Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
Artificial intelligence has reached a stage where it no longer thrives only on algorithms. The real differentiator today is data—i...
Data Scarcity Solution: S-CycleGAN for CT-to-Ultrasound Translation
This paper defines a new, practical setting for Instance-Incremental Learning, focusing on cost-effective model promotion and resi...
If a Data Broker Goes Bankrupt, What Happens to Your Sensitive Data?
Near, a company specializing in collecting and selling location data, has filed for bankruptcy. The prospect of this data being so...
The OBS Playbook: How to Turn AI, Data & Cloud Into P&L Results
OBS is how you make AI/Data/Cloud pay rent. Encode outcomes, standardize how you work, and run the cadence. The rest is commentary...
The Day the Cloud Cracked: AWS Outage Exposes Fragility of Centralized Internet
Amazon Web Services (AWS) went dark for 15 hours on October 20th. The outage affected over 11 million users and more than 2,500 co...
"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Common...
Google Data Commons launched an MCP server to ground AI in verifiable public data from trusted sources like the UN, World Bank, an...
Want to Know How to Handle the Growing Flood of Leaked Data? Here's How
I recently had the pleasure of meeting Micah Lee, an investigative data journalist, digital privacy expert and now a newly-minted...
