Big Data is an immensely popular talking point, but what are we really discussing? From a security perspective, there are two distinct issues: securing the organisation and its customers’ information in a Big Data context; and using Big Data techniques to analyse, and even predict, security incidents.
How to tackle big data from a security point of view
You may also like
The marriage of domain intelligence and generative models marks a significant leap forward in the capabilities of artificial intelligence. While generative models, such as...
Read More
In the ever-evolving landscape of business analytics, Micro, Small, and Medium-sized Enterprises (MSMEs) are increasingly turning to the transformative power of supercomputing to gain...
Read More
Read More
The factory floor is becoming the new frontier for artificial intelligence, where latency is measured in milliseconds and downtime costs thousands per minute. While...
The quest to build robust medical large language models (LLMs) is trapped in a fundamental conflict: these models require vast, diverse datasets to be...
Introduction The explosive growth of artificial intelligence in academic and private research has created an insatiable demand for GPU-driven compute. To balance cost with...
The race to develop powerful large language models has long been dominated by public cloud hyperscalers, with their seemingly limitless scale and on-demand GPU...
As manufacturers increasingly deploy large language models (LLMs) to optimize supply chains, automate quality control, and streamline operations, the environmental impact of these energy-intensive...