Digital intelligence integration accelerates enterprise business innovation

From the national level, the 14th five year plan sets the tone for the height of digital transformation , It just needs to be promoted inside and outside all industries , Digital transformation is the inevitable development trend of thousands of industries . If we say that the past two years are the experimental stage of several revolutions , Open up wasteland 、 Seed selection and seedling raising , Then the current stage should be called the development stage , We should carry out intensive cultivation , Afforestation . Several turns have been entered by individual industries 、 Individual scenes “ Dot application ” The whole process to all walks of life 、 The whole process “ Overall penetration ” The critical period of .

Deep integration of big data and artificial intelligence , Become the core in the process of enterprise digital transformation 、 The most important capability platform . UFIDA digital intelligence integration solutions are widely used in all links that determine the economic benefits of enterprises , Promote the efficiency reform of various industries 、 The path of kinetic energy conversion . Digital intelligence integration brings disruptive changes to enterprises , It has achieved initial results in many fields , Accelerate and drive business innovation .

Demand analysis ： The dilemma of enterprise digital transformation is the problem of data

At present , The dilemma of many enterprises' digital transformation is the problem of data , There is a gap between the current situation of data capacity and the needs of digital transformation , To iterate an innovative business , It will involve important data of many departments , Let these data become the desired form , It requires a lot of communication and coordination efforts , We also need to solve data integration 、 Data processing 、 Analyze and dig 、 Data management issues , If every innovative business in the enterprise is so difficult , Is data such a factor of production too high and cold ？ How to fully mine the value of massive data , Use big data analysis technology to guide business decisions , It has become the most concerned problem of manufacturing enterprises .

1. There are many kinds of multi-source heterogeneous data , Complex acquisition

Big data era , Multi source heterogeneous system 、 Data acquisition complexity caused by multiple data formats , Ensuring data throughput and real-time in the process of data collection poses a great challenge to enterprises , There is an urgent need to unify the data lake for collection and management .

2. The data is scattered and inconsistent , It is difficult to form enterprise data assets

Scattered data of enterprises is difficult to meet the growing needs of business departments , Lack of unified data management and data governance means , There is no unified data standard and data management system for the enterprise , Resulting in poor data quality and unavailability , It is difficult to provide support for the data analysis and application of the upper layer .

3. The application of data intelligence is not deep enough

It is difficult for enterprises to take advantage of mature big data 、 Artificial intelligence technology deeply excavates internal data 、 Analysis to form intelligent 、 Visualization services , To enhance the value of enterprise data assets .

4. Extensive management , Transformation lacks technical means

Extensive management of many business systems , There are a lot of offline processing , There are technical difficulties in interdepartmental collaboration , inefficiency . Managers and decision-makers can't effectively warn and make decisions about problems in the process of enterprise management , Lead to various problems .

Technology trends ： Deep integration of data and intelligence , Promote each other

Big data provides data collection 、 Data processing 、 Data management 、 Ability of data analysis and visualization . Artificial intelligence improves the processing ability of heterogeneous data , Deep integration with application scenarios , Realize intelligent prediction 、 Intelligent decision making 、 Intelligent recognition and other data analysis , Precipitate the knowledge and experience of mental work in the link .

At present, big data and artificial intelligence form a multi-directional and deep integration development trend , Continue to accelerate the digital upgrading of various industries . On the one hand, big data provides data fuel for the development of artificial intelligence technology , On the other hand , AI also brings computing power improvement and algorithm engine to the development of big data , So that people can mine data value with unprecedented speed and efficiency .

Scene fusion  

AI broadens the application scenarios of big data

Traditional data analysis realizes descriptive analysis 、 Diagnostic analysis , The big data analysis integrated with artificial intelligence technology can realize more intelligent predictive analysis and processing decision analysis .

Data fusion

Big data provides AI with large-scale 、 Multi source heterogeneous data

Massive data with big data platform , AI has made a qualitative breakthrough . meanwhile , The application of artificial intelligence also feeds back more big data platforms “ fresh ” data , To form a virtuous circle , Improve the intelligence of artificial intelligence platform .

Technology convergence

Big data and artificial intelligence are related and integrated in technology

The core technologies of big data and artificial intelligence have begun to fully integrate , For example, both require massive structuring 、 Unstructured data processing technology , Artificial intelligence knowledge map requires graph analysis technology of big data .

Platform integration

Unified data analysis and artificial intelligence platform has become a trend

The traditional big data platform mainly provides services based on CPU Distributed data processing architecture with memory , New big data platform support GPU、GPU/CPU Hybrid computing and other new computing architectures TensorFlow、PyTorch Wait for AI framework .

Solution ： One stop data Intelligence Center , Provide professional data intelligence services

After years of polishing and practice in the data field , UFIDA has created a one-stop data intelligent midrange solution . Data intelligence is based on multimodal data fusion 、 Full lifecycle data governance 、 Low code data intelligent development 、 A series of data acquisition, such as visual data analysis and auxiliary decision-making 、 save 、 tube 、 Based on the full value chain capability , Help users realize massive multi-source heterogeneous data collection 、 Data governance and capitalization 、 Low code modeling and data algorithm development 、 The whole value chain including data intelligent services such as visual analysis and mining 、 Life cycle data asset value preservation and appreciation tools and services .

Data intelligence is based on enterprise big data 、 Business mechanism 、 Algorithm , Through low threshold data workshops and AI Workshop development platform , Build smart enterprise applications , Realize smart business decisions . Digital work assistant VPA robot , Help enterprise employees achieve more lean work ;RPA Robots help users get rid of repeated and inefficient work , Free up more time “ Look up at the road ”, Promote the accelerated application of artificial intelligence in the existing business of enterprises , Help enterprises break through business bottlenecks , Help business agile innovation ; Intelligent analysis enables enterprise data analysis and visualization , Support convenient integrated application with business system , Provide self-service analysis and reporting capabilities , Support users' personalized modeling in visual design environment , Realize the data exploration of browsing self-service analysis . 

Data intelligence is based on scenarios 、 Immersive new experience , Help enterprises to intellectualize , UFIDA empowers business innovation , An important part of realizing cloud intelligence with numbers .

Scene analysis ： Digital intelligence superposition , Let a hundred flowers bloom when landing

“ big data + Artificial intelligence ” Wait for the integration of new technologies , With a few notes, wisdom can endow thousands of lines and industries , A hundred flowers bloom in the landing application scenario , Promote industrial transformation and upgrading , Spawn more products and services . Data intelligence stimulates the data value at the bottom of the value chain of various industries in society through the process of capitalization , Open up a new digital intelligence scene , Continue to promote the emergence of new forms of economy . 

The financial field activates the value of financial data , Deepen the application of financial control

Financial control has been gradually extended from the past post record to the front end of the business , Especially for the accuracy of business transaction information 、 Real time measurement requires high . Record the full amount of transaction level data through the data center , And apply data processing rules , Gradually convert the transaction level data according to the financial caliber , meanwhile , The modification of business data leaves traces , Traceability , So as to ensure financial independence and compliance .

 

In the field of marketing, data-driven operation is carried out in the whole life cycle of customers

The era of customers being king is coming , The digitalization of customers and business is more important for enterprises , By realizing from production 、 purchase 、 channel 、 sales 、 Digitalization of customers in various scenarios such as operation , It is a typical feature of the new era to create links to various scenes starting from customer needs . The data center establishes a digital system for customers and business , Cover the whole life cycle of customers 、 operating , Help enterprises establish close ties with customers , Further expand the business potential of the enterprise .

The manufacturing industry plays a guiding role in data , Towards Science 、 Refined operation  

The manufacturing industry is integrated IT+OT data , Build facilities 、 Complete digital twin model of equipment and products , Covering orders received from 、 Production 、 Monitoring the whole process of delivery logistics , Real-time monitoring , It can also predict possible future business changes in the digital world , Make data-driven decisions , Improve the agility of Intelligent Manufacturing . The data intelligence center plays a guiding role , Provide universal digital intelligence capability for independent production , Help manufacturing enterprises accelerate the application of data intelligence in enterprise production 、 Application and innovation of management , Promote enterprise production management 、 Intelligent upgrading of business decisions .