Policy, technology, and industry moves â tracking what matters in AI and data.
The plan charts the data-element market path and accelerates data-asset capitalization â reshaping AI training supply and opening a historic window for data service providers.
Leading model labs double down on proprietary datasets; annotation volume is up 340% YoY as quality standards take shape.
New research shows high-quality synthetic data reaches ~92% of real-data performance on some tasks â long-tail and cross-modal alignment remain hard.
Auto QA pipelines lift cleanliness to 99.6%; visionâlanguageâspeech joint training now serves 30+ leading model companies.
As GPT-4-class general models saturate, domain models accelerate â expert-labeled data scarcity drives professional data value higher.
A deep look at RLHF production pipelines and how data flywheels lift safety and instruction following.
More news is on the way. Stay tuned.
Powered by TalkingDataâs billion-device live panels â regularly published rankings you can trust
Based on TalkingDataâs live panel covering 1B devices â track DAU, MAU, and stickiness by category.
Score leading AI training datasets on scale, annotation accuracy, refresh rate, and compliance.
More rankings coming soon. Stay tuned.
Systematic views on industry trends, data value, and technology â authoritative inputs for decisions.
Browse more industry research, white papers, and special insights â keep authoritative data close.
Scale, quality standards, compliance, and business models across LLM, multimodal, and embodied AI data demand.
Quantify mobile behavior value and ROI models for precision marketing, risk control, and product optimization on a billion-device panel.
Scale, quality, and efficiency across the annotation chain â with a focus on auto-labeling plus human review.
More reports coming soon. Stay tuned.
