13 -15 July 2022 (Wed – Fri)
China National Convention Center (CNCC)
Beijing, China 

NIXT Summit

13-15 July 2022, China National Convention Center (CNCC), Beijing, China


About the NIXT Summit

The NIXT China Summit brings together industry stakeholders, including innovators, end users and supply chain players across the various verticals and segments, in discussions and collaborations on the implementation of next-generation tech solutions for strategic-thinking enterprises of the future. Leveraging on tomorrow’s technologies to create solutions for today, the Summit allows discussion on enabling businesses to maintain market-leading positions in an increasingly competitive environment.

The Summit offers the opportunity that seek to benefit industry players, entrepreneurs, business decision makers, project managers and technicians, as well as practitioners across the various vertical segments.

The NIXT China Summit will focus on:

  • Seven major industries that are currently undergoing tremendous changes and digital transformation, including smart manufacturing, banking, retail, healthcare, transportation, education, tourism and financial services.
  • In-depth discussions on the development of transformative technologies such as artificial intelligence, data, robotics, 5G, IoT and cloud computing, and shed light on integrating these technologies to achieve truly innovative and transformative solutions.
  • In-depth discussions on the development of emerging transformative technologies and their strategic significance, further helping institutional end users attain deeper understanding through case study sharing.

2022 Seminar Agenda

Topics and timings are correct at time of release and are subject to change without notice.

Day 1 13 July 2022



10:30 – 11:00

Keynote: AI Advancement by 2030 – What to Expect?

The pace of change has been unprecedented in the AI sector, and it promises to continue in the same vein in the years to come. Today, AI is evolving across all three dimensions — compute, data and algorithm — which sets the context for its adoption across all realms of life and work by 2030. This session provides a forecast on the AI advancement routes by 2030.

11:00 – 11:40

Best Practice: Driving Enterprise Digital Transformation Successfully – Key Lessons Learnt

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.

11:40 – 12:30

Panel Discussion – Key Challenges of Digital Transformation & Nurturing A Culture of Digital Innovation

  • 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?

12:00 – 14:00

Lunch Break


14:00 – 14:40

Banking Case Study: Finance Digital Transformation of Commercial Banks

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

14:40 – 15:20

Insurance Case Study: AI – Rewriting Opportunities in the Insurance Industry?

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

15:20 – 16:00

Financial Service Case Study: Challenges of Digital Transformation in Securities Services Industry

The key to successful digital transformation lies not in a sophisticated system, but in allowing data and technology to truly serve the customers. In the future, the securities industry’s demand for digital transformation will continue to increase, and the integration of big data, Fintech and business environments will inevitably become even more closely-knitted.

  • The status quo of “digitalization” without “transformation”
  • Transformation from business ideals to digital realization
  • Execution bottleneck due to a mismatched organizational support system with the management.

16:00 – 16:40

Case Study: Digital Customer Management and Marketing

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
  • Transformation from business ideals to digital realization
  • Full-scale data integration and user data insights

14:00 – 14:40

Case Study: AI + Human Interchange to Transform Operational Processes

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.

14:40 – 15:20

Case Study: Smart Warehousing for Automated Operations

15:20 – 16:00

Predictive Analytics: How to Transform Data into Future Insights?

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.

16:00 – 16:40

Evaluating the Increasing Applications of Commercial Drones in China

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.

14:00 – 14:40

5 roundtables with 5 themed topics. Attendees can join up to 2 tables of their interests during the 2.5 hours session.

Discussion Schedules: (5min intervals for attendees to change tables)
14:00 – 14:45 First Round
14:50 – 15:35 Second Round
15:40 – 16:25 Third Round

1) Process Excellence: Optimize & Re-design Your Process with AI
2) Delivering Automation in A Hybrid Work Environment
3) Getting Management Buy-in: Building a Business Case of AI
4) How Can Automation be More Customer Centric?
5) Managing Data Leak and Data Privacy Concerns

Day 2 14 July 2022


10:30 – 11:10

Keynote: Upgrades and Breakthroughs in the Supply Chain in the New Normal

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?

11:10 – 11:50

Case Study: Digital Transformation Centered on Consumer Experience

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

11:50 – 12:30

Case Study: How can Traditional Retail Enterprises undergo Digital Transformation?

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.

10:30 – 11:10

Keynote: How Manufacturers Can Leverage on the Latest Technologies to Move up the Industry Value Chain

11:10 – 11:50

Case Study: How AI is Used across Smart Production, Products and Services?

11:50 – 12:30

Case Study: How Industry 4.0 Drives the Digital Transformation of the Supply Chain

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.


13:30 – 14:10

Keynote: Smart Classroom, Creating a New Classroom Ecosystem

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?

14:10 – 14:50

How AI Can Redefine the Education Ecosystem?

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.

13:30 – 14:10

Keynote: The CIO Challenge – Moving from Functional to A Strategic Business Leader

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?

14:10 – 14:50

Case Study: Winning the Talent War for AI– Challenges and Strategies

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

14:50 – 15:30

Keynote: Intelligent Transportation and Autonomous Vehicles

Smart vehicles and intelligent roads combine to form the future city. The biggest business opportunity for AI applications is to respond to the intelligentization of transportation and its fringe industries. Not only can people communicate with vehicles, but vehicles can also communicate with other vehicles and even peripheral devices to provide fully automated and intelligent services.

  • Examples of applications of intelligent transportation and driverless technology
  • AI+IoT+ car-free integration – a new transportation service trend that will set off a new wave of logistics industry revolution?
  • Internal capacity building of AI-ready workforce

15:30 – 16:00

Case Study: Big Data Improves Traffic Management

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?

14:50 – 15:30

Keynote: Key Development Trends of Smart Hospitals in China

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.

15:30 – 16:00

Case Study: The Future of Telemedicine post Covid

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.

Other Learning Platforms

Pre-Show Webinars


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NIXT Summit

Co-located with Beijing InfoComm China 2022, dive deep into the world of emerging technologies like 5G, AR, XR and IoT via the 2-day conference program.

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Beijing InfoComm China Summit

Customized sessions at the Summit cater to a diverse range of different learning needs, from understanding high-level strategic thinking to industry and technology-focused sessions.

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Speak at Beijing InfoComm China Platforms

If you would like to participate as a presenter/speaker at Beijing InfoComm China Summit, please contact
Sammi Zhang – sammizhang@infocommasia.com or Cathina Huen – cathnia.huen@baobab-tree-event.com