Emerging Technologies posts

Edge Computing and DataOps, and Why this Combination Matters to Industry

By 2025, analysts predict that 50% of enterprises will adopt edge computing by 2029, up from 20% in 2024. At Barbara, we’ve experienced this momentum firsthand, with a fourfold increase in inquiries about Edge Computing and AI in 2024 alone.

The reluctance to embrace cloud-based solutions opens up an opportunity for a new category of digital twins: Edge-Enabled Digital Twins. These solutions operate independently of cloud infrastructure, maintaining data privacy and sovereignty while providing real-time data analytics and asset control.

Barbara and Quside unite to leverage Edge Computing Security with Quantum Random Number Generators

We dig in into how edge computing complements and enhances adaptive AI, enabling intelligent applications to thrive in diverse and dynamic environments.

TinyML has proven to be a powerful tool for implementing machine learning models in devices and environments with limited resources. In this article, we explore one of the ideal scenarios where this paradigm can be revolutionary.