Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

The intersection of Artificial Intelligence (AI), robotics and healthcare is gaining prominence, particularly the use of ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

The national spy watchdog is reviewing the use and governance of artificial intelligence by Canada’s security agencies.

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

Traditional security measures like firewalls and antivirus software are no longer sufficient to protect organizations from ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Overview:  Forensics books published in 2025 promote expertise across IoT, cloud (AWS/Azure), mobile, and networks.

Explore the top OSINT tools and software platforms for 2026. Improve your data gathering and verification methods effectively ...

Abstract: In this paper we have analyzed the important technology evolutions that have significantly impacted the film industry. Pre-production of films to post-production, each stage of filmmaking ...

Abstract: This article presents an in-depth exploration of multifaceted efforts in agricultural research aimed at addressing the unpredictable nature of crop production and related processes, ...