Harini Shankar is a technology leader with expertise in quality assurance, test automation, DevOps and cloud-native quality ...

Fragmented stacks, real-time demands and privacy constraints are rewriting the rules of unified data strategy.

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as ...

Adding to the data management challenge is the fact that an increasing amount of that data – structured, semi-structured and unstructured – is often spread across many locations in multiple ...

This creates several challenges that DOD legal offices, investigative components and FOIA divisions will need to address to meet evolving data management and discovery needs. To hear from top ...

and portfolio management, at INDATA we spend a lot of time finding new and better ways to help our clients solve their own unique data challenges. After all, the old industry maxim “garbage in, ...

Before diving into AI-driven payroll solutions, I believe organizations must tackle the more fundamental issue of data management. Only by addressing the challenges of data quality, integrity and ...

Ensuring consistent security policies, encryption standards, and identity management systems across a diverse set of platforms is a significant challenge. As data centers rely on third-party ...

Network security issues are among the most significant challenges for larger enterprises. In fact, a UK government Cyber ...

Digital infrastructure and analytics provider Vertiv released four solutions in March that it says will help data center ...