Data Segmentation & Isolation
Far from the spotlight that shines on the creation of colossal AI models, the silent, relentless work of inference is where artificial intelligence truly comes to life and delivers its revolutionary promise. While the development of these models captures headlines, the real revolution happens during inference—the operational phase where AI applies
As a data protection expert specializing in privacy and governance, Vernon Yai has a unique vantage point on how organizations manage their most critical information. An established thought leader, he focuses on risk management and the innovative techniques needed to safeguard sensitive data. Today, we're exploring a profound shift he's observed:
The silent, methodical click of a switchgear unit is the unseen heartbeat of our hyper-connected world, ensuring that power flows uninterrupted to the data centers that fuel modern commerce, communication, and artificial intelligence. While this critical infrastructure often operates behind the scenes, the market for it is stepping into the
A perplexing and significant 37-point chasm has opened up in the landscape of developer sentiment toward AI, a gap that speaks less about the algorithms themselves and more about the foundational stability of the organizations deploying them. Recent developer surveys painted a starkly contradictory picture: one major report found that 70% of tech
In the complex world of enterprise data protection, the integrity of backup software is paramount, serving as the last line of defense against catastrophic data loss from ransomware, hardware failure, or human error. It is with this understanding that the recent disclosure of a critical vulnerability in one of the industry's leading solutions has
A groundbreaking predictive model, developed at a cost of millions and capable of revolutionizing supply chain efficiency, remains confined to a data scientist's laptop, unable to deliver business value. This scenario is increasingly common in enterprises investing heavily in artificial intelligence. The failure point is rarely the model's