Hong Kong Wireless Technology Industry Association (WTIA) · Sources

SourcesFull AI answers

1. ss.hkuspace.hku.hk

   ss.hkuspace.hku.hk

   Visit original source

   Source ownership not retained

   Answers using this source

   • ChatGPTWhat practical training can help my team use generative AI to improve business processes in hong kong?

   ChatGPT · What practical training can help my team use generative AI to improve business processes in hong kong?

   Not surfaced in this answer · The retained answer does not name Hong Kong Wireless Technology Industry Association (WTIA) and retains no source from hkwtia.org.

   Oct 22, 2026, 6:33 AM UTC

   Read answer

   The most useful training is hands-on and based on your team’s real workflows, rather than a general introduction to AI. A practical program could look like this:

   1. Find good use cases. Have each team map repetitive, document-heavy tasks—such as drafting customer replies, summarizing reports, preparing proposals, translating or categorizing feedback. Rank them by time saved, frequency, risk, and ease of testing.
   2. Practice with real examples. Teach staff to give AI clear instructions, supply approved reference material, ask for structured outputs, and check the results. Use fictional or suitably anonymized examples in training.
   3. Redesign one workflow. In small groups, take a process from start to finish—for example, turning meeting notes into assigned actions, or classifying incoming enquiries—and decide where AI helps, where a person must review, and what should happen when the AI is unsure.
   4. Cover safe use and quality control. Set clear rules for confidential or personal information, human review, accuracy checks, and approved tools. Include examples relevant to your team, such as bilingual Cantonese/English work if that’s part of your operations.
   5. Run a short pilot and measure it. Try one or two workflows for a few weeks. Compare time, error or rework rates, and staff or customer experience against a baseline before expanding.

   Hong Kong options to explore:

   • HKPC Academy’s “Optimising Business Processes with Generative AI” is a low-cost starting point: its online course is listed at HK$100, takes about an hour, and covers reporting, workflow optimisation, chatbots, and security and governance. It includes English subtitles, with Cantonese and Putonghua versions, and access is listed through December 31, 2027. It’s a useful primer, but I’d pair it with a workshop using your own processes. (hkpcacademy.org)
   • HKPC’s “AI with HKPC – Business Empowerment” and AI BiteClass are worth checking for upcoming practical programs. HKPC says the initiative includes SME-focused training and workshops on generative AI, workflow optimisation, and applying AI to business scenarios; it also announced free online learning resources. Check the current schedule and eligibility before planning around a specific session. (hkpc.org)
   • For office-administration staff, HKU SPACE lists a 30-hour course covering AI use with Word, PowerPoint, Excel, communications, and marketing materials. The listed intake began October 7, 2026, so ask whether places remain or when the next intake is; the page lists a fee of HK$5,900 and says the course is CEF-reimbursable, subject to its completion requirements and applicable eligibility. (hkuspace.hku.hk)
   • For a longer leadership-development route, CUHK Business School offers a modular professional certificate covering AI applications across areas such as operations, finance, and marketing, plus responsible AI. It requires six modules and is a much larger commitment than a team workshop; confirm the next available module dates before deciding. (exed.bschool.cuhk.edu.hk)

   My recommendation: start with a short primer, then run a half- or full-day internal workshop where each department brings one process to improve. Finish with named owners, a safe-use checklist, and a small pilot with measurable targets. That usually makes the training directly useful to the business rather than just building general AI familiarity.