Arguably, the two biggest challenges in the FAST ecosystem are managing the ad experience and delivering ROI for the brands that support the platform. Evan Shapiro, CEO, ESHAP, Patrick Courtney, SVP, ...

It’s time for traders to start paying attention to a data revolution underway that is increasingly impacting their ability to both scale their business and provide value to their clients. Capital ...

Understanding and correcting variability in western blot experiments is essential for reliable quantitative results. Experimental errors from pipetting, gel transfer, or sample differences can distort ...

SardineAI Corp announced the release of a guide focused on risk problems data challenges and the role of data infrastructure in shaping fraud performance across modern risk operations environments.

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

ChatGPT offers Advanced Data Analysis, a powerful tool that helps users crunch data and search for insights. Over the past year, I've had the opportunity to use it to quite good effect. Other AIs are ...

The landscape of software development has undergone a significant transformation, with data engineering emerging as a crucial discipline while traditional back-end engineering roles evolve. This is ...