Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...

Developing the POTOMAC Model: A Novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in Head and Neck Cancer Via an Ensemble Tree-Based Machine Learning Approach The ...

With a combined market value of around $150 billion, Snowflake and Databricks have divergent visions on how to get customers' analytics and machine learning tools to their data, which is often spread ...

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

We believe the future of intelligent data apps will enable virtually all organizations to operate a platform that orchestrates an ecosystem similar to that of Amazon.com Inc. By this we mean ...

• Invest in data readiness. Informatica’s CDO survey notes that data quality and readiness (43%), technical maturity (43%) and skill shortages (35%) are the top obstacles to AI success. Winning ...

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...