05 April 2024

Tim Sherbak, enterprise products and solutions, Quantum

AI’s influence is pervasive and undeniable. It is weaving its way into every industry sector and reshaping the fabric of our daily lives. From chatbots that can solve customer queries within minutes to autonomous vehicles and facial recognition, this ever-advancing technology is helping propel society towards a new future.

Yet, for its full potential to shine, robust infrastructure to support high-performance AI workloads and computing is paramount. AI requires high-calibre systems designed to bear the weight of intense workloads and store the vast amounts of data required for AI model training. A computer can only ever learn from the data you give it – the more data, the ‘smarter’ the machine. One of the biggest challenges is storing and managing this expanding volume of data. Deleting data is simply no longer an option because organisations never know when it will be useful in the future. Before widespread AI usage, this level of retained massive data sets for analysis primarily existed in high-performance computing (HPC) environments. However, the advancement of AI has now brought this infrastructure challenge to any organisation wanting to capitalise on the potential of AI, essentially turning every kind of organisation into a HPC environment.

04 April 2024

Luke Wilkinson, managing director, Mobile Tornado

Born in the midst of World War Two, the walkie talkie has a rich and colourful history; still remaining a renowned technological device even today. However, the push-to-talk (PTT) technology behind it is still not well-known, and even less well-known are the transformations that took the two-way radio and made it the basis for communication across various sectors. Over the last decade, as cellular network infrastructure improved, push-to-talk over cellular (PTToC) became viable and revolutionised long-distance communication as we know it.