Building an analytics architecture for unstructured data and multimodal AI brandpost By Ganesh Kumar Gella, Sr. Director, Engineering, Google BigQuery Generative AI Initiatives Jun 11, 2025 5 mins ...

Modernizing legacy data systems is no longer optional—it's the key to unlocking AI’s full potential with real-time insights, ...

Despite data analytics platforms' structured data quality, their architecture is inherently complex. Most modules rely on highly normalized tables where information is distributed across dozens or ...

The Pentagon is pausing development of Advana—its default data-analytics platform—so it can be upgraded to handle increased demand, according to an internal email obtained by Defense One.. In ...

StarTree Inc., which sells a real-time analytics platform and cloud service based on the Apache Pinot open-source online ...

Integrated data platform with BI and big data analytics capabilities. ... Scalable architecture suitable for enterprises. Strong emphasis on data literacy through Qlik’s educational resources.

Data analytics and integration tech developer Qlik launched Qlik Talend Cloud, a data management platform based on technology stemming from Qlik’s 2023 acquisition of Talend.

Hex provides a modern data workspace system for data science and analytics tasks. The platform includes AI-powered tools, collaborative data notebooks, and data integration and data visualization ...

In building its own platform from scratch, TransUnion is taking a similar approach to Walmart Inc., which built a full-fledged, multicloud and large language model-independent machine learning ...

Broadcom’s CIO explains how his organization has consolidated the data analytics needs of 26 different business units, including VMware onto a single platform and what other organizations can ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. LabVantage Solutions. (2025, June 04). Why data platforms are key to scientific progress.