With enterprises prioritizing secure AI deployments, it’s essential to ensure proprietary data is truly an asset, not a ...

Where to start: clean data is crucial for successful AI integration It is clear that AI has many benefits, but an AI ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing ...

Data observability firm Monte Carlo Data Inc. is turning its attention to unstructured information, introducing a new ...

Benchmark data provided by Quark indicates the healthcare model outperformed DeepSeek’s R1 and V3, and OpenAI’s GPT-4o, in ...

Data quality KPIs and maturity model Integrating key performance indicators (KPIs) with a data quality maturity model enables organizations to assess and enhance their data management practices ...

AI-driven automation can detect anomalies, clean data and categorise information, ensuring that only high-quality data is fed ...

Microsoft has launched several new 'open' AI models, the most capable of which is competitive with OpenAI's o3-mini on at least one benchmark.

And it achieved this despite air quality data being relatively limited compared to weather data. Because the model first learns from a large and diverse set of data, it can be fine-tuned with smaller ...

A well-known case highlighting the dangers of poor data quality is Google's Flu Trends model. In February 2013, due to data issues, it predicted more than double the proportion of doctor visits ...