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 ...

The shift to service as software will bring learning curve advantages, software-like marginal economics, and winner-take-most dynamics to all companies across every industry, not just tech vendors. We ...

It’s been said that AI is only as good as the data fueling it. And that’s true—to an extent. Having good data is important, but it is also useless if it’s inaccessible. This explains why building the ...

Across industries, companies are racing to implement AI. Yet while models get built, dashboards deployed, and pilots launched, enterprise adoption often stalls. Most efforts fail to translate ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data ...

In today's data-driven economy, organizations face a persistent challenge: critical business information is often fragmented across multiple platforms, applications, and departments. This ...

In the modern digital economy, the convergence of Artificial Intelligence (AI) and cloud computing has become a defining force in enterprise transformation. Organizations in the technology and ...

Govinda, Senior Manager at Cognizant, has 15 years of expertise in SAP & Non-SAP Data Analytics, delivering innovative BI solutions. Many business leaders struggle with a fundamental architectural ...

Manoj Parasa is recognized for his work at the intersection of enterprise HR technology, workforce analytics, and applied research, contributing to the development of intelligent HR systems powered by ...

Held from April 9 to 10 at Marina Bay Sands in Singapore, GITEX Asia 2026 (GITEX Singapore) brought together technology ...