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Maxis Berhad, a Malaysian telecommunications company, and Huawei Technologies (Malaysia) Sdn Bhd have announced a strategic collaboration to enhance intelligent network operations through Artificial Intelligence (AI) and Machine Learning (ML). This collaboration aims to accelerate Maxis' digital transformation and improve user experience and operational efficiency via self-optimizing network technologies. According to Maxis, the collaboration will involve a comprehensive joint project focused on integrating AI and ML deeply into network management.

Recently, the Malaysian Customs Department installed 40 state-of-the-art luggage scanners at major entry points nationwide, with a total investment of up to 40.72 million ringgit. Customs Director General Ahnis Rizana stated at a press conference on September 27 that these scanners equipped with artificial intelligence (AI) technology significantly enhance the detection capabilities for travelers' luggage and belongings, effectively combating smuggling activities, including the trafficking of banned items such as drugs. Image source note: Image generated by AI, image licensed from service provider Midjourney. She mentioned that these 40 scanners began operations in May.

Malaysia is rapidly rising to become a data center powerhouse in Southeast Asia and the entire Asian region. According to DC Byte's '2024 Global Data Center Index', Johor Bahru is the fastest-growing data center market in Southeast Asia. This market has attracted billions of dollars in data center investments from tech giants like Google, Nvidia, and Microsoft. James Murphy, General Manager of DC Byte for the Asia-Pacific region, noted that Johor Bahru is expected to surpass Singapore in the coming years to become the largest data center market in Southeast Asia.

The latest Adobe generative AI study indicates that Malaysian enterprises need to accelerate their pace in the field of generative AI. Generative AI is crucial for customer satisfaction and competitive advantage in Malaysia, but the research reveals a gap between enterprises and customer needs. Malaysian enterprises face budget constraints while adopting generative AI to improve workflow efficiency, but there are issues with the lag in generative AI strategy.