Driven by the digital economy era, the artificial intelligence industry has gradually gained a foothold in the "mature stage" stage, and has begun to empower all walks of life, especially the advent of ChatGPT, which has caused an uproar around the discussion around artificial intelligence. Some companies are beginning to try to adopt AI to develop its potential, and those that have not yet acted are also facing anxiety about learning and applying emerging technologies, and are asking about the possibility and methods of becoming a digital intelligence enterprise.
It seems that informatization has long been not "fashionable", and digitalization is about to be replaced by intelligence and digital intelligence. In fact, only about 20%-30% of enterprises in China have achieved success in digital transformation today, there are still a large number of enterprises that have not yet fully realized the potential of digital transformation, start-ups and some traditional enterprises are not even highly informatized, and most enterprises are too early to talk about digital intelligence.
Informatization is to bring the offline business processes of enterprises online and generate business data; Digitalization is the deepening and evolution of informatization, solving the problem of business integration (integration and connection) that has not yet been solved in the informatization process, and releasing the value of data. Digital intelligence is the application of intelligent technology to achieve the analysis and decision-making of a large amount of data.
Is enterprise informatization useless? Obviously not, informatization, digitalization, digital intelligence is a different stage of enterprise informatization development, informatization is the basis of digitalization, digitalization is the foundation of intelligence, "the foundation is not firmly shaken", want to take the artificial intelligence train, first do a good job of informatization, digitalization.
Ideally, as a company grows, conversion and upgrading should be natural, but the reality is not satisfactory. For example, the digitalization stage requires the participation of more business personnel, but the communication cost of dialogue between the party who does not understand technology and the party who does not understand business is extremely high; The closed system architecture makes it difficult to connect the flow of data, and even needs to be torn down and restarted... Can it make the transformation process more efficient and without breaking the bones?
"Opportunities are reserved for those who are prepared", enterprises need to choose their own appropriate digital management tools according to their actual business conditions, for the long-term digital construction of enterprises, they need a platform that is more flexible and resilient to face changes, and its technical capabilities, service guarantees, and ecological capabilities are indispensable.
For common general-scale ToB development, a person can be fully responsible for it from requirements to development to delivery, operation and maintenance, and this method is obviously not universally operable based on the traditional development model. More focused on the zero-code platform for non-professional developers, easy to build the cloud, do not need professional and technical personnel, business personnel can build, maintain, and operate applications/systems by themselves, one person can be a team, reducing the threshold of informatization, greatly reducing the communication cost of TOB delivery.
EasyCloud provides assemblable modular digital capabilities and application lifecycle services, and its core processes, forms, reports, automation and other engines can help enterprises quickly build personalized digital applications.
And the platform supports cross-application data interconnection, visual API configuration mode quickly interconnects existing system data, supports elastic expansion and can be fully integrated with other architectures, without subverting the information cost that has been invested, you can quickly build a one-stop business system, realize the full support for the needs and upgrading and transformation of enterprise informatization, digitalization and digital intelligence, and also make newer and better technologies quickly available to "me".
The team has 20+ years of digital experience, and the core backbone has presided over the research and development of a number of domestic ERP products and enterprise-level digital platforms. Rich practical experience and the real project practice of EasyRide Cloud have precipitated modern service industry, education and training, Internet, manufacturing and other industry solutions, and completed good docking and integration with domestic mainstream ERP products and common office software, creating an industry service ecology and providing enterprises with sustainable, more advanced and cost-effective digital transformation solutions.
Artificial intelligence is still in the development stage, now there are not enough employees who can cooperate with artificial intelligence to make it can be used seamlessly and normalized in the workplace, at present, artificial intelligence technology has not yet reached the point of replacing enterprises to make management decisions, but no one can predict the future, do a good job of basic informatization, digitalization, choose a platform with stronger flexible expansion capabilities, so as not to stand on the cusp of external change, but tired of rectification.