Brad Lee: The advent of the AI era has prompted many software companies to start thinking about architectural reinvention and optimization, and in this era, EMQ has also formed a partnership with central control technology, which was difficult to achieve 10 years ago. In the age of AI, business models, ecosystems, and partners need to evolve.

Cui Shan: In the era of AI, the construction of an ecosystem is crucial for all enterprises. It is precisely because of these ecological cooperation that central control technology can come to today. In the general trend of artificial intelligence, enterprises can not fight alone. Everything from computing power, data centers, algorithms, modeling, talent, and even government policy requires every partner in the ecosystem to work together to create value for the process industry.

IC660EPM100H Bob Gill: The embrace of AI is no longer a choice question, it’s a requirement. In the future, how do you think enterprises and industries should make better use of the value of AI technology and jointly promote the progress of society?

Brad Lee: My personal view is that AI is disruptive and massive and can completely change the way businesses operate. It’s important for all organizations to be ready for generative AI, including pioneering practices at the data level for operations, management, storage, and use cases.

Christian H. Sboro: Technological innovation and enterprise evolution go hand in hand. Data preparation, operational processes, personnel reserves, and ways of thinking within the enterprise all need to be prepared to develop in tandem with technological innovation. For enterprises, there needs to be a consensus on the use of AI technology from the top to the bottom operators.

IC660EPM100H

Cui Shan: In the era of artificial intelligence, the talent reserve in AI is the primary challenge for enterprises, and enterprises need new blood to join in order to support innovative development. Secondly, in the era of AI, not only technological innovation, but also all individual concepts, organizational structures, and business models need to be synchronized. Resource reserve, talent cultivation, ecosystem construction, and customer application scenario development are all necessary preparations to maximize the value of AI technology.

IC660EPM100H In the industrial field, the deep integration of generative artificial intelligence and industry has moved from theoretical research to practical application stage. This “Embracing AI, Building a New Future of Sustainable Development” roundtable dialogue fully explored the application value of disruptive product technology innovation in the AI era to the industry, and also created a platform for the future mutually beneficial and win-win industrial AI ecological construction. Zhongcontrol Technology will continue to build a competitive advantage of “AI+ data” as the core, become a global leading enterprise in industrial AI, promote sustainable industrial development with AI, and work together with global ecological partners to lead the leapfrog development of the industrial AI era.