News data from
FT Integrated Solutions
Machine learning powered
by leading intelligence
Through FT Integrated Solutions, full-text FT articles and metadata are available in a machine-readable format. Train your AI models using the FT's highly accurate, global and editorially-validated dataset for better discovery of
critical information.
Submit your details for a free sample from our dataset and to speak to our team about enhancing your AI capabilities.
Companies are turning to artificial intelligence to help understand their external environment. However, AI models require access to high-quality training data in order to learn.
The availability of digital news can make it difficult to discern between a signal and noise, but Financial Times journalism is unique for 3 key reasons:
- Accuracy
All of the information we report is doubled-sourced, and quality is never compromised
for speed. - Limited bias
Our politically neutral stance and balanced global reporting enables confident understanding of significance and helps to separate hype
from fact. - Connected coverage
Our detailed analysis and contextual understanding of events over time creates unique connections in a knowledge graph.
How can the FT dataset
enhance
your AI strategy?
The availability of FT articles in a machine-readable format via APIs enables organisations to integrate coverage into workflow for better discovery of information, and identify new risks
and opportunities.
But what are the key features of the FT dataset that make it well-suited to training AI models?
Relevance scores
Our “about” predicate, supervised by the editorial newsroom, delivers a high level of confidence in article annotations.
Tickers
We identify public companies with FIGI codes that can be easily mapped to tickers, ISINs,
and SEDOLS.
Point-in-Time data
15+ years of snapshot data and 3+ years of Point-In-Time data allows for confident
time-series analyses.