AI drives new upgrades of industrial software, data analysis and artificial intelligence evolve in exploration

The dual integration of CAE and AI technology has become an important application trend in the digital transformation of enterprise R&D and design links. However, the digital transformation of enterprises is not only the optimization of a single link, but the transformation and upgrading of the entire process and the entire life cycle. Data drive only has a role. Only in all business aspects can we truly help the sustainable development of enterprises.

The wave of digitalization is sweeping the world. As the core driver of the digital economy, digital technology has gradually become a new driving force for corporate development, boosting the evolution of corporate core competitiveness. Against this background, digital transformation has become a must-have for all companies and a prerequisite for sustainable development. , embracing the digital economy has become a common choice for enterprises. However, judging from the actual situation, C-end industries such as retail e-commerce, finance and other fields are at the forefront of digitalization, while the digitalization process of traditional real economy industries represented by manufacturing, energy and heavy industry is relatively slow. As a national economy pillars and key areas of policy support, it is urgent for the real economy to accelerate digital transformation.

Take the manufacturing industry as an example. In the past, the transformation and upgrading of China's manufacturing industry focused on the construction of information systems and the opening up of internal information within the enterprise, which was mainly reflected in the construction and upgrade of large business systems such as ERP, with more emphasis on process driving. As the diversification and personalization of downstream demands have become the mainstream trend, data-driven has begun to become the mainstream model for the transformation and upgrading of manufacturing enterprises. The digitization of product design, R&D, and manufacturing has become the core competitiveness of enterprises. Foreign industrial software service providers are based on advanced With advanced technology and profound industry understanding, we continue to deeply explore the Chinese market.

The dual integration of CAE technology and AI technology helps enterprises take off in digital transformation

As the core component of industrial software, R&D and design software such as CAE (Computer Aided Engineering) is the main tool for the digital transformation of manufacturing companies and a key competitive area for software providers. CAE is based on three-dimensional solid modeling and provides a basis for product development and design by simulating the performance of products in terms of structure, fluid, heat, and electromagnetic fields. It is widely used in manufacturing, energy, heavy industry and other fields.

Based on rich simulation models and industry data, the application of CAE can effectively help manufacturing companies reduce or even avoid the repetitive work of multiple recalls and adjustments in the product design stage, helping companies reduce costs and improve efficiency. Driven by "intelligent manufacturing" Under the current situation, the importance of CAE to manufacturing companies continues to increase.

At the same time, competition in the global market is becoming increasingly fierce. Taking the automobile manufacturing industry as an example, the car manufacturing cycle has been shortened from the past 3-5 years to the current 1-2 years, which will inevitably put forward higher requirements for the efficiency of all links. Especially in product R&D and design, more and more attention will be paid to the accuracy and output efficiency of simulation models. However, traditional CAE three-dimensional modeling technology is gradually unable to meet the requirements of enterprises for such high timeliness and realistic model effects, forcing services Businesses are constantly exploring better solutions.

With the continuous evolution of AI technology, AI-based machine learning can obtain more accurate prediction models by training neural networks based on a large amount of existing data. AI has begun to become a key application technology for manufacturing companies in the R&D and design process. The deep integration of AI technology and CAE technology, using the large amount of data accumulated by CAE in the manufacturing industry as the basis for deep learning, will enable the continuous optimization of the CAE modeling paradigm and further reduce computing costs. Observing this trend, the world's leading CAE service providers have begun to explore the integration of AI technology and their own products, and actively embrace more possibilities of AI CAE.

As the world's leading CAE service provider, Altair was initially focused on helping automotive companies apply engineering simulation technology. After observing the pain points of digital transformation of traditional companies in product development and design, through active research and development, mergers and acquisitions, it gradually Improve solutions integrating simulation, high-performance computing and artificial intelligence technologies.

Altair also noticed the development opportunities of AI CAE. “By deeply integrating simulation technology and AI technology, and combining it with the rich data accumulated internally, we can provide customers with simulation results that are closer to real needs and a better user experience.” ." Liu Yuan, general manager of Altair Greater China, said in an interview with Yiou.

Ideas and needs for productization can be better realized, which stems from the deep integration of AI and CAE. This coincides with the Physics AI concept proposed internally by Altair. It can quickly build machine learning models based on a large number of existing simulation results, which can help enterprise customers quickly build new models and output results.

On the other hand, from the perspective of digital twins, there are two paths for digital twin construction within Altair. One is based on traditional three-dimensional modeling. Although this method can accurately depict the model, it is not practical in the actual application process. The speed is very slow and cannot be displayed in real time; the second path relies on the romAI tool to realize the deep integration of CAE technology and AI technology, using machine learning to reduce the three-dimensional model to one dimension, so as to display the simulation results more quickly. In fact, Altair can achieve minute-level output of automobile crash test model results through the integration of CAE technology and AI technology.

Picture: The integration of Altair discrete element technology and AI technology

From R&D and design to marketing, management and other data-driven enterprises throughout the life cycle, Frictionless AI redefines the new trend of data analysis

At this stage, the dual integration of CAE technology and AI technology has become an important application trend in the digital transformation of enterprise product R&D and design links. However, the digital transformation of enterprises is not only the optimization of a single link, but the entire process and life cycle. During transformation and upgrading, only when data-driven technology acts on all business links can it truly help enterprises achieve sustainable development.

From a global perspective, there are many types of data service providers that empower enterprises’ digital transformation, with different genes. They not only include service providers that started the digital transformation of specific industries such as industry, finance, and retail, but also include general-purpose AI technology, Data analysis product provider.

In the context of data-driven business development and intelligent decision-making becoming an important trend in enterprise digital transformation, how to efficiently utilize the massive and complex data accumulated by enterprises, mine and exert greater value of data, and open up enterprise design, R&D-production Data circulation and full-process digital transformation of the entire manufacturing-sales-operation and maintenance life cycle have become propositions that enterprises urgently need to answer at this stage.

In fact, although many companies are striving to become data-driven throughout the entire process, there are still silos between departments and personnel, making it difficult for many companies to correctly and efficiently utilize the rapidly growing data. Enterprises will generate a variety of "frictions" in the process of applying AI technology and AI products, and the "friction" existing in data analysis will become an unstable factor in the digital transformation process of enterprises, leading to project failure, waste of costs and personnel investment, etc.

“There are varying degrees of friction in data analysis applications between user ports and data, between industry experts and data, and between different departments within the enterprise. At the same time, there is also a lack of comprehensive talents who understand both data analysis and the industry. "A major challenge faced by enterprises," Liu Yuan said, "Therefore, a highly applicable and easy-to-use data analysis platform has become particularly important for driving enterprise data analysis and empowering business personnel."

Based on this pain point of enterprise data analysis applications, Altair proposed "Frictionless AI", that is, the concept of "frictionless AI", aiming to help enterprises solve the problem between users and data, between data experts and industry experts, and between tools , friction caused by changing infrastructure, etc.

Picture: Altair’s “frictionless AI” capabilities

Since 2018, Altair has successively acquired Datawatch, World Programming and RapidMiner in the field of data analysis. The data product portfolio has been continuously enriched, and finally formed a complete data analysis and artificial intelligence platform-Altair RapidMiner, dedicated to eliminating the need for enterprises to use data. Frictions and obstacles in analysis empower enterprises to realize data-driven intelligent decision-making and improve competitiveness.

Altair RapidMiner is a true end-to-end platform that eliminates the friction between people, data and business generated by enterprises in the data analysis process, and can complete all data analysis from data preparation, processing, modeling to deployment tasks and help different professional users from business analysts to data scientists quickly use the platform to solve data analysis and data science needs.

Picture: Altair data analysis and artificial intelligence platform

Currently, most traditional enterprises are still in the early stages of digital transformation, so the demand for data analysis tools is growing rapidly. In the era of digital economy, enterprises face common challenges, such as how to survive better, how to maintain continuous profit growth, etc. Digitalization is the key means to achieve this goal. I believe that in the future, driven by demand and supported by policies, , the data analysis market will have deeper development opportunities and broader market space," Liu Yuan said.

From simulation to simulation AI, technology integration becomes Altair’s new service capability engine

Simulation and data analysis play a key role in the development process of enterprises. By deeply mining and analyzing massive data, enterprises can obtain more accurate insights and predictions, thereby making smarter decisions and accelerating the digital transformation of enterprises. The integration of simulation technology, data analysis, and artificial intelligence can help companies effectively improve product design and efficiency optimization, shorten the simulation cycle, and build sustainable competitive advantages.

Liu Yuan said that the reason for entering the field of data analysis is because Altair has provided digital solutions, such as simulation and analog products, since its establishment. Take the manufacturing industry as an example. By providing simulation analysis solutions to enterprises, Altair has accumulated many years of practical experience in manufacturing services and has a deep understanding of the digitization of the complete life cycle of products from design, R&D, production to manufacturing. ”

Compared with service providers that started out as data analysis, as a leading company in the field of engineering simulation, Altair has accumulated a lot of experience in simulation, testing and training data on user interfaces in the early stage, so it better understands customers' business logic and Data flow logic has more advantages in the practice of industrial enterprise services. This is also Altair's advantage in entering the data analysis track.

"Before launching data analysis products, Altair's solutions mainly focused on improving the digital R&D and digital design capabilities of enterprises. With the launch of the Altair RapidMiner data analysis and artificial intelligence platform, Altair has achieved the goal of providing enterprise product R&D, The designed digital solutions have advanced to empower the full-process digital transformation of enterprise operations, marketing and other business nodes." Liu Yuan said that for Altair, although simulation-driven and data-driven are two solution business lines, Altair We are practicing the integration of various technologies to jointly help customers complete business innovation and intelligent decision-making.

Since entering China in 2001, Altair has accumulated rich product practice and customer service experience. Regarding the development direction of data analysis and artificial intelligence platforms in the Chinese market, Liu Yuan said, “In the future, we will continue to promote data analysis products for Empowering financial customers, while making some best practices in advantageous industries such as automobiles, consumer electronics, energy and heavy industry, help Chinese companies effectively improve their independent research and development capabilities, and drive the overall competitiveness of customers to improve."

It is reported that on June 9, 2023, Altair will hold a launch ceremony for Altair RapidMiner, a new data analysis and artificial intelligence platform with the theme of "Data Science, Decoding the Intelligent Future". Through this launch ceremony , Altair will help corporate users quickly improve their competitiveness and decipher new paths to corporate success in the digital economy era.

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