Digital Engineering Expo 2022
1st Aug 2023 - 1st Sep 2023


Strategies of digital changes of the XXI century and the role of digital engineering in ensuring mobility, individuality and efficiency are attracting the close attention of business owners and managers.
Localization of production facilities in the context of the COVID situation, the search for new markets and optimization in the face of fierce competition impose new requirements and update the topic of digital engineering. An important goal of the business is the search for new system non-standard solutions and effective tools.
How to be effective in crisis situations? How to preserve the markets without slowing down the pace of its development? What should modern digital engineering platforms be like? This important and timely discussion will allow us to jointly find answers to difficult questions.


The digital economy is a generator of innovations
The focus of the topic is a systematic understanding of problems, as well as ways to solve them and actions in building hyperautomation of an enterprise in the digital economy.
Examples of hyperautomation, the experience of leaders, their successes and recommendations will become important drivers of your future changes. Considering the main aspects and examples of hyperautomation, we will touch on such topics as: system architecture, RPA platforms, robotics, cybersecurity and other topics that can significantly increase the efficiency of automation systems and their security. Combinations of technologies and innovative tools on hyperautomation platforms will be the subject of close attention of experts and visitors of the exhibition.
Hyperautomation, which logically combines various interrelated technologies, is more effective than traditional processes. This is a comprehensive approach to automation, which begins with the technological, operational and business processes of the company and ends with the digital infrastructure and the competence of the teams.


Foundation and driver of an integrated approach
A key and very important logical issue in the digital economy is the creation of systems lifecycle management Systems (SoSLM). System modeling is becoming the top of the pyramid in the issues of digital transformation of enterprises and the digital economy as a whole.
SoSLM focuses on the entire range of processes from product creation, its promotion to the market and to recycling. The logical interconnection and dynamic interaction of all levels of subsystems and systems, ensuring flexibility and efficiency serves as a reliable foundation in modeling developing systems.
Digital platforms, as the basis of industry digital ecosystems, as technological aggregators and as transforming business models, are becoming the basis of the global economy of the XXI century.
What is the basis of effective solutions in the era of digital transformation? What do the leaders focus their attention on first of all? What is the role of digital doubles among the main trends?
We observe their significant impact at all stages of digital change. The focus of the exhibition will be shifted to the consideration of this problem in the dynamic production process. Digital Engineering Expo 2022 will continue the discussion on approaches, experience, methodology and practice in this important issue.
Creating a digital twin is a complex task that requires special platforms, as well as a high level of digital maturity of the enterprise and its team. With the rational implementation of digital twins technology, significant benefits can be obtained and contribute to the creation of serious competitive advantages.


System life cycle - real and virtual
According to the expert community, generative design is one of the most important technologies that affect the timely release of a product in demand by consumers. This technology radically changes the existing concept of product design and development in the enterprise.
The discussion about generative design, the role of an engineer and his ability to apply various tools in the design and construction of technologies and products for refined consumer demand will be very interesting for all categories of participants of DEE 2022. Using artificial intelligence, cloud technologies and cloud computing, you can significantly reduce the costs and time for design and production, as well as accelerate the introduction of innovative products to the market.


Benefits of generative design
In the digital economy, when production is increasingly becoming personalized, additive manufacturing is a popular tool that optimizes resources, affects the production culture and increases customer satisfaction. In additive manufacturing, digital engineering and physical manufacturing interact and help each other. Joint work on the refinement of the functionality and modernization of the manufactured product is ongoing and is being improved in the production process.
With such an organization of production, customers become partners, the deadlines for completing orders are reduced, and the production itself becomes flexible and is improved at each next stage.
This section of the exhibition, which is in a logical relationship with other important and popular topics, will be the subject of discussions, the search for optimal solutions and expertise.


Technologies, materials, tools
DEE 2022 focuses the participants ' attention on the importance of collecting objective and high-quality information. Big data analytics allows you to gain deep, extensive and valuable knowledge about various processes, devices and systems of the enterprise. This becomes especially important and economically profitable in the context of an ever-changing consumer landscape and an increasing demand for individualization. The digital transformation of a manufacturing enterprise will be successful only if there is a systematic understanding of the business based on big data.
Collecting data about the enterprise from various internal and external systems created by machines or people affects the adoption of quick and informed decisions, helps to control and improve production processes, prevents failures, improves products, helps to create personalized marketing campaigns and improves the quality of customer service.
The combination of technologies and big data analytics on the company's production and non-production processes are fundamental for fast and timely forecasting, as well as for the implementation of lean, safe and cost-effective industrial production processes.
The speed and direction of digital changes significantly depend on the scale of the use of artificial intelligence. Many enterprises are actively experimenting, using one or another form of artificial intelligence – and they are doing it quite successfully.
Enterprises that are seriously embarking on the path of digital transformation perceive artificial intelligence as an integral part of their future digital strategy and infrastructure. Digital Engineering Expo 2022 will consider the range of artificial intelligence applications quite broadly, ranging from covering a variety of diverse tasks, to almost autonomous decision-making and forecasting using historical data or analyzing imperfect, unstructured data.
The role of AI in digital ecosystems and in achieving the greatest optimization, efficiency of operational and business processes will be one of the central focuses of discussions and consideration by participants of various sections of the DEE 2022 exhibition.
The best 3D modeling technologies presented by the DEE 2022 exhibitors related to additive manufacturing, IIoT, Digital Product Definition (DPD) and Augmented Reality (AR) in 3D modeling will be received with interest by the visitors. The unique opportunity presented by the exhibition of 3D modeling tools within the framework of the online Academy of Digital Engineering will allow you to improve your competencies and choose the optimal tools and technologies.
The best offers from manufacturers, experience and expertise will be the key to the effective development of your competencies.


The modern world is the world of people and technology


Big data analytics technologies


The main trend in the digital transformation of systems


Best Practices and Tools