Metaverse, despite you like it or not, is soaring in the world. What fundamental changes metaverse will bring to us in long run, what are enabling technologies, what’s the relationship between metaverse and digital transformation, how Chinese government regards it, and how we handle it today, are our contents for discussions in this meeting.

Is your digital transformation successful? Odds are, it’s hard to tell. To successfully achieve digital transformation, you need to transform your technology and your process; your strategy and your culture. Hear more from the success story and benchmark against your own practices.

• What are your challenges in the digital transformation journey and how do you manage them?
• Designing an effective governance model for data protection and compliance
• How to create a sustainable culture of innovation?
• How to design your digital business model for success?

If accountants and bank tellers can be replaced by AI in 10 years’ time, what should you, as banking CFOs, do now?

• Agility will become the most critical aspect of financial institutions
• Changes in risk control concepts and models, as well as changes in super ecological models

任何一个行业都会在中低端市场被互联网、数字科技先行标准化，然而市场往往低估了数字化服务在高端市场的价值和影响力。 通过数字化服务切入高端市场，服务高净值用户，我们选择了一条更为艰难的道路，但同时也是面向未来的必然选择。

• 高端市场的数字化挑战
• 线上线下融合，定制化和标准化并存
• 平台数字化，服务社交化
• 人机如何深度结合撬动中国2%的市场需求

Analyses on developmental trends in the insurance industry in recent years. With the changes in consumer behaviors, trends of incorporating AI, coupled with the requirements of regulatory technology, the insurance industry is facing challenges in innovation and transformation.

• AI Predictive Analysis to fully understand customer needs and preferences
• Grouping and micro-insurance replacing traditional policy claims process

These are questions in the mind of every business owner: How to use AI, Big Data to gain insight into customer needs? To win valuable customers? So that all the money is spent where it matters. Can AI & Big Data really help?

• Customer-centric
• Full-scale data integration and user data insights

Artificial Intelligence technology are able to integrate information technology systems, tools and methods to provide machines the ability to perceive, understand behavior and learn, helping people effectively manage implementation processes to address challenges. With the use of AI technology, enterprise management can be freed from process management and focus on formulating business goals and motivation analyses to create greater value for enterprises.

Can you use data to predict the future? The answer is yes. Predictive analytics is now the go-to proactive approach by decision-makers to make the best use of data. Enterprises face a constant barrage of data; the majority of this crucial data goes to waste in the absence of any concrete process or tool to gain valuable insights into the mind of the customer.

Beyond videography, photography, and aerial imaging, drone technologies have become increasingly important to support applications in construction, energy, agriculture, forestry, security and emergency operations, logistics, and transportation.

Has the pandemic defeated traditional retail? Not at all! It merely activated the fast-forward button of transformation. When digital natives were born in the 2000s, the digital transformation of retail companies has already begun its unstoppable trends. Digitalization has gone from “the icing on the cake” to “imperative” now.

Digital transformation is a process of integrating technology into existing business models. How does technology help the operational processes? Improve value propositions? Take care of each customer experience? Let technology help to completely transform an enterprise, into an extremely agile one, with customer values and experience at its core, with constant self-evaluation and renewal to stay fresh and dynamic.

An endemic nowhere in sight, a trade war in limbo, a sudden hike in tariffs and the upcoming carbon taxes… will only accelerate changes, division of labor and reorganization of the international supply chain. What’s in it for us with the Red Supply Chain strategy?

The traditional supply chain is based on linear processes, from upstream design, source materials, planning, midstream procurement, manufacturing, to downstream distribution, and shelving. However, many supply chains today have quietly begun to transform from a rigid linear process to a digital supply network. Digital Supply Network, DSN, a more open and more interactive system is fast being adopted. This transformation will also affect the competitive models amongst enterprises of the future.

Traditional teaching methods can no longer meet the needs of modern teaching today. With “Smart Classroom” as a new form of education and modern teaching method, which integrates IoT technology with smart teaching, personnel attendance, asset management, environmental smart adjustment, video monitoring and remote access, this new and modern smart classroom system is gradually being adopted and promoted, and looks set to become an effective part of building future schools. In its actual creation, which areas can institutions with limited funds, start from to transform into smart classrooms? What are the critical aspects in building these smart classrooms? And what are the school-enterprise cooperation models that can be adopted in the process?

AI is not just transforming the way teachers can do their job, but also revolutionizing the way students learn. AI technologies apply in the 5 processes of “Teaching, Learning, Evaluation, Assessment and Practicing”, generate feedback and data from the processes so as to provide personalised solutions that suit students the best.

New technologies have been at the centre of trends—from mobile-first consumer shopping preferences to the promise of artificial intelligence in critical decision making—that have reshaped the competitive landscape and disrupted business models. For this reason, companies need to be tech forward and CIOs are required to move beyond simply managing IT to leveraging technology to create value for the business. Are the CIOs ready for it? What are the challenges and difficulties ahead?

With tech giants soaking up all available talent, enterprises are scrambling to staff up for an AI-fueled future by partnering with universities and grooming talent from within.

• The shortage of experienced, skilled AI talent
• Partner with universities
• Internal capacity building of AI-ready workforce

As cities grow bigger, and cars keep increasing in numbers, the pressure on urban traffic is increasing by the day. Traffic information collected through Big Data technology applications can help relieve the pressure on urban traffic to a greater extent. In addition, in the face of the complex information amassed, how do we tap on its potential value, in order to ensure more efficient traffic data processing and further realize intelligent urban traffic management?

• The fine balance between data and privacy?
• The potential value of complex traffic data?

The concept of a “Smart Hospital” has always been evolving but it is striking how different healthcare looks in the second half of 2021 than it did before 2020. Governments, hospitals, and health systems are looking for ways to better serve their communities. This session provides an outlook on the future developments of smart hospitals in China.

The demand of digital health, technological advancement and government policy support in China has enabled telemedicine to continue to prosper even after the covid epidemic. What new opportunities does the telemedicine pose? What constraints lie ahead? What the future looks like? The session will answer your questions on the above.