Search Constraints
Number of results to display per page
Results for:
Keywords
Artificial intelligence
Remove constraint Keywords: Artificial intelligence
Year
2025
Remove constraint Year: 2025
1 - 8 of 8
Search Results
-
Case Study
AI is transforming internal communications by enabling faster content creation, personalized messaging, and real-time translation, boosting productivity and engagement. However, challenges remain around content accuracy, potential bias, and data security, as organizations must ensure that AI-generated communications are reliable and sensitive information is protected from privacy and cybersecurity risks.
- Keywords:
- Employees -- Effect of technological innovations on Data protection Artificial intelligence Computer security
- Resource Type:
- Case Study
-
Case Study
Orquest uses AI-driven workforce management to optimize staff scheduling for companies like McDonald’s and ZARA, improving efficiency and employee satisfaction. While AI streamlines scheduling and reduces administrative workload, challenges remain in ensuring data quality, digital literacy, and maintaining the human touch needed to address nuanced employee needs and well-being.
- Keywords:
- Personnel management Artificial intelligence Scheduling
- Resource Type:
- Case Study
-
Case Study
Artificial intelligence is transforming hospitality by introducing “digital workers”—AI agents managed like human employees. While this approach promises greater efficiency and accountability, it raises concerns about job displacement, workplace competition, and the practical challenges of integrating AI into traditional organizational structures and departmental roles.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hospitality industry -- Information technology Hotel management Artificial intelligence
- Resource Type:
- Case Study
-
Case Study
Booking.com’s AI Trip Planner, powered by ChatGPT, offers travelers a conversational interface for personalized travel recommendations and real-time property Q&A. Fully integrated with the Booking.com app, it streamlines trip planning and booking. However, its effectiveness depends on user input, and GenAI’s limitations in filtering spam or false information may affect reliability.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Tourism -- Technological innovations Tourism -- Decision making Artificial intelligence
- Resource Type:
- Case Study
-
Case Study
FlyZoo Hotel, as the first “Future Hotel” of Alibaba Group, integrates AI throughout its operations, featuring facial recognition check-in, in-room AI voice assistants, and service robots for concierge and room service. While these innovations enhance efficiency and personalization, challenges include high costs, limited human interaction, and the need for ongoing staff training and technological upgrades.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hotel management Hospitality industry -- Information technology Artificial intelligence
- Resource Type:
- Case Study
-
Video
In this talk I examine the role of humanities research where nearly every aspect of human experience is turned into data and analysed, in many cases to model, predict and modify behaviour. As a result and through advances in computing technology, artificial intelligence systems have colonised traditional areas of humanities research, including linguistics and language studies. Today, large multimodal models (LMM) can process text, images, videos and sound, potentially leading to the development of algorithmic approaches to modelling society and culture. In this talk, I explore how humanities researchers can leverage the benefits and mitigate the risks of these latest technological developments and prepare scholars for the challenges which lie ahead. I provide some examples from the Digital Media and Society Institute (DMSI) at the University of Liverpool where communication and media researchers are working with data scientists to investigate how multimodal information is re-contextualised across online media platforms. This includes new methods for studying information distortions (e.g. misinformation, disinformation and memes) and public reactions to key events.
Event date: 31/03/2025
Speaker: Professor Kay O’HALLORAN (University of Liverpool)
Hosted by: Faculty of Humanities
- Keywords:
- Artificial intelligence Research Humanities -- Research
- Resource Type:
- Video
-
Video
The rapid development of artificial intelligence and large language models have led to the language industry and translation and interpreting education programs re-imagining how to engage with these technologies. While some language industry stakeholders seek to leverage these tools to support the provision of language services and language access, others have sought to resist this technological incursion on ethical and professional grounds. The impact of these tools is undoubtedly far reaching, to the point that trainers and educators must now respond to these developments. This talk reviews some of the ways in which artificial intelligence, large language models, and translation and interpreting technologies can be leveraged in educational and training programs while offering possible means to resist uncritical adoption of these tools. The talk provides suggestions on how university programs can prepare future graduates to interface with these technologies and drive ethical and responsible technology use.
Event date: 13/02/2025
Speaker: Dr. Christopher D. MELLINGER (The University of North Carolina at Charlotte)
Hosted by: Faculty of Humanities
- Subjects:
- Translating and Interpreting
- Keywords:
- Artificial intelligence Translating interpreting -- Study teaching Translating interpreting -- Technological innovations
- Resource Type:
- Video
-
Video
The PolyU Academy for Interdisciplinary Research (PAIR) of The Hong Kong Polytechnic University (PolyU) today hosted its inaugural Public Forum for Research and Innovation. Titled “DeepSeek and Beyond”, the keynote speech was delivered by Prof. YANG Hongxia, Associate Dean (Global Engagement) of the PolyU Faculty of Computer and Mathematical Sciences and Professor of the Department of Computing, who highlighted the latest developments in artificial intelligence (AI). The event attracted over a thousand participants, including faculty members, students, alumni, and leaders from the innovation and technology sector, as well as academics and the public. Additionally, over 390,000 viewers tuned in through the live streaming platforms.
The Forum began with a welcoming speech delivered by Prof. CHEN Qingyan, Director of PAIR and Chair Professor of Building Thermal Science of the PolyU Department of Building Environment and Energy Engineering. This was followed by Prof. ZHANG Chenqi, Chair Professor of Artificial Intelligence of the PolyU Department of Data Science and Artificial Intelligence, and Director of the PolyU Shenzhen Research Institute introducing the speaker.
Prof. Zhang said, “The development of large models is at the core of competition in the AI wave. DeepSeek has demonstrated that high-performance AI models can be achieved using fewer and less advanced graphics processing units (GPUs), demonstrating that cutting-edge AI technology can be realised through the optimisation of algorithms.”
The large AI model developed by the mainland Chinese startup DeepSeek has garnered wide acclaim around the world for its low-cost, high-performance, and open-source framework, disrupting the traditional “computing power-first” logic of AI model training. At the Forum, Prof. Yang highlighted the potential of generative AI (GenAI), adding that it presents abundant opportunities for various sectors, including healthcare, finance, manufacturing, retail, media and fashion, and for applications in medical imaging analysis, fraud detection, predictive maintenance, retail inventory management, content creation, and design and marketing.
Prof. Yang also recounted the evolution of AI and shared her professional milestones with the audience, notably the development of the M6 large model, which trained a 10-trillion-parameters model using just 512 GPUs. Prof. Yang further elaborated on how her GenAI project, Co-GenAI, improves the accessibility of AI technology while minimising dependence on large-scale centralised computing resources, thereby transforming the trajectory of AI progress. This ground-breaking effort has positioned Hong Kong and the Mainland at the forefront of global advancement in GenAI.
Moderated by Prof. Zhang Chenqi, a panel discussion was also held, featuring esteemed panellists Prof. Yang Hongxia and Prof. LI Qing, Head and Chair Professor of Data Science of the PolyU Department of Computing, and Co-Director of the Research Centre for Digital Transformation of Tourism. The scholars discussed the opportunities and challenges that advancements in AI present for higher education and research. They also engaged in fruitful discussion with participants during the question-and-answer session. The topics included the application of AI in industry, the regulation of information, its impact on the employment environment and economic development, and the integration of AI technologies.
PolyU is committed to advancing AI education and research. In January 2025, the University established the Faculty of Computer and Mathematical Sciences with a vision to lead global advancements in digital transformation and AI through distinguished education, research, and knowledge transfer.
Event date: 11/03/2025
Speaker: Prof. YANG Hongxia
Hosted by: PolyU Academy for Interdisciplinary Research