Events

Artificial Intelligence is evolving rapidly, and language models are at the centre of many of today's AI applications. From chatbots and virtual assistants to content generation and data analysis, these models help computers understand and generate human language. However, when it comes to AI, bigger does not always mean better. As more businesses adopt AI, an important question is emerging: Should we use a small language model or a large language model? What is the Differenc

Artificial Intelligence (AI) has quickly become part of everyday business conversations. From automated customer service and data analysis to content creation and business automation, AI is changing how organisations work and make decisions. However, as AI technology continues to evolve, new terms such as Generative AI and AI Agents are becoming increasingly common. While these technologies are closely related, they serve different purposes. So, what is the difference between

Artificial Intelligence (AI) is rapidly becoming one of the most influential technologies shaping the future of business. Across Malaysia, organizations are exploring how AI can improve operational efficiency, enhance customer experiences, and support data-driven decision-making. From large enterprises to small and medium-sized businesses (SMEs), AI adoption is accelerating across industries including finance, manufacturing, agriculture, healthcare, retail, and logistics. As

Artificial Intelligence (AI) has evolved rapidly over the past few years, transforming from a tool that simply answers questions into a technology capable of performing complex tasks and making intelligent decisions. As we move through 2026, businesses around the world are witnessing the emergence of AI Agents — a new generation of AI systems designed to work alongside humans and automate business processes with minimal supervision. Unlike traditional chatbots that provide in

As organisations adopt artificial intelligence, cloud systems, and connected technologies, cybersecurity has become a foundational requirement rather than a supporting function. The expansion of digital infrastructure increases operational efficiency, but it also broadens the potential surface for cyber risks. AI-driven systems rely heavily on data integrity and system reliability. Any compromise in data accuracy or infrastructure stability can directly impact operational out

Over the past decade, organisations have invested heavily in digital systems to improve efficiency and transparency. Today, many enterprises are moving beyond basic digitalisation toward a new phase — intelligent, data-driven decision making powered by Artificial Intelligence (AI). AI enables organisations to analyse large volumes of data in real time, identify patterns, and generate insights that support faster and more informed decisions. This shift allows businesses to tra

Artificial Intelligence (AI) is increasingly becoming a part of how organisations manage information, analyse data, and support decision-making processes. Rather than replacing existing workflows, AI is often used to enhance efficiency by assisting with repetitive tasks, pattern recognition, and data-driven insights. In today’s digital environment, the volume of data generated by organisations continues to grow. AI technologies can help process and interpret this data more ef