Abhilash Mula, director, product management, Informatica, joined DBTA's webinar, Accelerate Modern Analytics and AI With Data Integration and Engineering Solutions, to illustrate how Informatica's ...

C-level executives should also ensure their AI strategies and business goals are well-aligned. Whether the objective is to ...

Trust remains the defining challenge of the AI era—and the clearest path to advantage. Organizations that get it right will ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Enterprise data platforms are undergoing a profound transformation driven by generative AI, while the rapid development of open sourcetechnologies is also reshaping the industry landscape. By 2025, ...

The global data mesh market is expected to grow at a compound annual growth rate (CAGR) of 16.4% over the course of the forecast period, from an estimated USD 1.2 billion in 2023 ...

As Data Quality Analyst you ensure reliable and actionable data, prevent operational bottlenecks by resolving quality issues before they affect core airport processes. How you achieve results in this?

CISA says it is time for the CVE Program to focus on improving trust, responsiveness, and the caliber of vulnerability data.

To ensure enterprises can fully trust the data fueling their analytics and AI deployments, Anomalo has defined the Six Pillars of Data Quality: ...

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...