// EDITOR ’ S QUESTION // gap between large tech companies and SMEs in their ability to train AI for their business .

One of the most important use cases for SMEs will be to enhance their cybersecurity posture . Cybercriminals are constantly embracing new technologies , including AI , to amplify the scale and potency of their attacks . SMEs must plan for the coming wave of AI-powered cybercrime by using AI to enhance their defences . AI offers a second pair of eyes to support security teams with advanced threat detection and automated monitoring . It can also be used to accelerate response times in the event of an attack , which can far exceed the capabilities of human operators in speed and responsiveness .

FAILURE TO MAINTAIN CONTROL AND OVERSIGHT OF HOW DATA IS USED FOR AI TRAINING WILL PUT BUSINESSES IN THE FIRING LINE OF LEGAL ACTION . rom customer service-enhancing chatbots to AI agents with autonomous reasoning and problem-solving capabilities , the potential use cases of AI are rapidly expanding across all sectors . Small- and medium-sized enterprises ( SMEs ) have as much to gain from developing AI as the biggest players in the tech industry , but the resources needed in terms of computational power and investment can be a barrier .

The good news for SMEs is that they do not need to build AI models from the ground up in order to fully leverage this technology . AI Inference offers models that have already been trained on a large dataset , from which they can respond to new inputs based on their existing knowledge . Inference will play a pivotal role in the development of AI applications moving forward by bridging the

To successfully harness AI , SMEs must plan ahead to keep on top of changing data regulations . Across the globe , different countries and regions are putting in place regulations that will compel businesses to protect privacy and ensure responsible data use in AI systems . Failure to maintain control and oversight of how data is used for AI training will put businesses in the firing line of legal action .

To stay compliant , businesses must control where their data is processed within specific geographical boundaries . Traditional cloud infrastructure does not offer this level of control . Smart routing technology , which enables users to direct workloads to their preferred region , will soon become a necessity for SMEs to be compliant with local data regulations and industry standards . Edge computing will assist by allowing businesses to process their data closer to its workload . These tools will take any guesswork out of the equation and clear the path for SMEs to make the most of AI opportunities while maintaining ethical and compliant use of data .

22 Intelligent SME . tech