Abstract: Deep neural networks have been proved a success in multiple fields. However, researchers still favor traditional approaches to obtain more interpretable models, such as Bayesian methods and ...

Abstract: Many data-driven personalized services require that private data of users is scored against a trained machine learning model. In this paper we propose a novel protocol for privacy-preserving ...

A Power BI report analyzing global health trends, disease-specific data, and healthcare infrastructure across countries. Includes KPI cards, slicers, and interactive charts for insightful exploration.

Qlik ®, a global leader in data integration, data quality, analytics, and artificial intelligence, today introduced its new agentic experience at Qlik Connect ® 2025. The agentic experience will ...

These were just some of the concerns brought by Hancock County residents during a public information session regarding a proposed 775-acre data center megasite located in Buck Creek Township ...

These include cloud data warehouses and lakehouses, data virtualization and federated query engines, data catalogs and observability, and no/low code data integration and self-service BI tools. To ...

Machine learning accelerates data discovery by 3.2x and improves cross-domain correlation accuracy by 52%, enabling faster insights and better decision-making. This transformation optimizes enterprise ...

With smart tools like data virtualization and system integration, teams can work with a unified view without added complexity, suggested the study. Singh urged CIOs to embrace “data product ...

announced the launch of FME Data Virtualization, a new capability that allows organizations to expose secure, OpenAPI-compliant REST APIs directly on top of any system or data source FME supports.

FME Data Virtualization and FME Realize, mark a significant expansion of Safe’s vision for an all-data, any-artificial intelligence integration ecosystem. The first announcement, FME Data ...

Rising competition, heightened tenant expectations and operational complexities have pushed property managers to adopt data-driven decision making (DDDM) as a cornerstone of their approach.