
Eileen Yu
Senior Contributing Editor at ZDNet
Senior Contributing Editor at ZDNet Singapore
Senior Contributing Editor at ZDNet China
The big E has pronounced purpose. | Tech journalist, writer & panel moderator. Opinions here my own. Retweets aren't endorsement. Currently on @ZDNET.
Articles
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3 weeks ago |
futureciso.tech | Eileen Yu
With deepfakes increasingly difficult to identify and regulations still playing catchup, end-users are urged to assume more responsibility in protecting themselves against online scammers. More concerted efforts to fight such cybercrime will be critical as artificial intelligence (AI) generated images and videos, particularly deepfakes, grow in scale and sophistication.
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3 weeks ago |
computerweekly.com | Eileen Yu
Improving user experience CapitaLand believes this approach will allow the accuracy and efficiency of the system to be continuously improved. The prediction system also incorporates seasonal trends and events-based fluctuations, which enables the release of season parking lots to non-season users to ease demand during peak periods. This capability ensures space utilisation is optimised while user experience is enhanced.
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3 weeks ago |
computerweekly.com | Eileen Yu
M1’s ambitious journey toward becoming “fully digital-native” may have taken several years, but it has proven to be a necessary path for the Singapore telco to remain agile and able to innovate in an evolving landscape. Its digital transformation took 4.5 years from December 2020, when it kicked off its migration to a unified hyper-cloud platform and overhaul its processes. Founded in 1995, M1 has an annual IT budget of about S$110m.
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4 weeks ago |
futurecio.tech | Eileen Yu
The emergence of artificial intelligence (AI) agents has ignited much discussion across industries, including the finance sector, where they are touted to trigger a major shift with their ability to reason and carry out tasks autonomously. Asked how the use of AI has evolved in finance, BlackLine CTO Jeremy Ung pointed to agentic AI, which he described as the most significant development for the sector over the past year.
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1 month ago |
futureciso.tech | Eileen Yu
Deploying artificial intelligence (AI) will bring up added security issues that organisations need to address, such as potential bias in AI models, or risk seeing their investments go to waste. In fact, the rush to adopt AI has resulted in some businesses overlooking the need to do so responsibly. More than 80% of respondents in a global survey by NTT Data revealed that their leadership, governance, and workforce readiness were failing to keep up with AI advancements.
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RT @BBCWorld: The people refusing to use AI https://t.co/bvhycrfINp

With #AI-generated content, such as #deepfakes, increasingly difficult to identify and regulations still playing catchup, end-users are urged to assume more responsibility in protecting themselves against online scammers. https://t.co/KKPy13u8eL

Deploying #ArtificialIntelligence will bring up added #cybersecurity issues that organisations need to address, such as potential bias in AI models, or risk seeing their investments go to waste. https://t.co/tMXAmBnGgA