With notable advancements in Artificial Intelligence (AI) within cybersecurity, the prospect of a fully automated Security Operations Center (SOC) driven by AI is no longer a distant notion. This paradigm shift not only promises accelerated incident response times and a limited blast radius but also transforms the perception of cybersecurity from a deterrent to that of an innovation enabler.

The net result of an AI-powered optimization process is not only a better data experience, but also increased developer productivity. Once the teams are aware of what can be automated, the improvements can not only speed things up but reduce costs.

Here we go again! Multimodal AI is the “next big thing” in artificial intelligence technology. But what exactly does multimodal mean, and how does it differ from the AI models we’ve all grown familiar with? Let’s take a look.

The past year has seen a transformational change in the cloud computing landscape, spearheaded by the advent of AI technology, the ongoing economic challenges for businesses to achieve successful results, and the evolving data regulations surrounding security and privacy. To navigate these changes, and create future opportunities, here are the major trends for 2024 and beyond.

2023 was an epic year for artificial intelligence. In a year when industry raced faster than academia in machine learning (source), the state of the art for AI evolved to include increasingly larger amounts of data, and bringing to bear sufficient computing resources to support new use cases remained a challenge for many organisations. With the rise of AI, concerns were not far behind.

Top tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we’re discussing strategies that will help enhance the role of simulation technology in advancing the capabilities of AI.