Data science, decoding the future of intelligence—Altair first proposed the concept of 'Frictionless AI”

On June 9th,as a global computing Altair, a leader in science and artificial intelligence, officially launches Altair RapidMiner##, a new data analysis and artificial intelligence platform #. The theme of this launching ceremony is "Data Science, Decoding the Intelligent Future". The purpose is to better help local users promote efficient digital transformation and achieve cost reduction and efficiency increase in data analysis and artificial intelligence applications. Attending the launch ceremony were: RapidMiner founder and Altair RapidMiner senior vice president of product development Ingo MierswaDr.,

Altair Greater China General Manager Liu YuanPh.D.Director of Shanghai Key Laboratory of Data Science, Professor of Fudan University, and member of the Ministry of Education’s Key Special Expert Group Xiao Yanghua, Huang Xu, Digital Director of PwC, President of Shanghai Shibei High-tech (Group) Co., Ltd.Chen Jun, UnionPay Zhice Consulting (Shanghai) Co., Ltd.General ManagerZhao Meng,Director of Jiangnan Shipbuilding Research Institute Zhou Qinghua. Altair officially launches new data analysis

and artificial intelligence platform

Altair RapidMiner## In recent years, leading global companies have joined the exploration of technology integration. By integrating cloud computing, simulation technology, artificial intelligence and other technologies, enterprises can build their own more sustainable digital and intelligent competitive advantages.

Altair

EnterIt has been

22 years since I entered China

Long term Deeply engaged in simulation analysis, high performance computing(HPC) and artificial intelligence In the fields of intelligence and other fields, it provides Chinese users with cutting-edge technology integration solutions. Its products and technical services have been widely recognized and praised by various industries such as automobiles, consumer electronics, aerospace, energy, shipbuilding, heavy industry, finance, and education. In the context of Digital China, In order to better serve

local users To promote efficient digital transformation, Altair officially launched a new data analysis

and artificial intelligence platform Altair RapidMiner.

Altair RapidMiner is a true end-to-end platform that eliminates the personnel, data and Friction between businesses can complete everything from data preparation, processing, modeling to deployment DataAnalysis Tasks,andHelpFrom Business Analyst to Data Scientist's diverse professional users quickly use the platform to solve their data analysis and data science needs.

In fact, since

2018, Altair has completed # The acquisitions of ##Datawatch, World Programming and RapidMiner enrich the data product portfolio and in After a series of integrations of all data analysis and artificial intelligence technologies within the company, Altaircreated Launched a new platform——Altair RapidMiner. This platform covers a comprehensive end-to-end solution for data access, modeling, operation and visualization, thereby achieving more agility for users. AI functions. As an integrated data analysis and artificial intelligence

platform Altair RapidMiner can smoothly realize the integration of data, people and processes. The effective connection between the three important assets, makes collaboration between organizations more convenient, thereby achieving more efficient data intelligence. Regardless of the user’s skill level, the Altair RapidMiner platform helps accelerate projects from data concept to production and completes the transition from traditional data analysis environments to Modern upgrades meet the needs of different enterprises through desktop and cloud versions. The Altair RapidMiner platform deeply covers the entire data analysis life cycle, thereby helping enterprises overcome obstacles encountered in the process of digital transformation.

##Altair Data Analysis and Artificial Intelligence Platform

Proposed the concept of F

rictionless AI for the first time, redefining the new trend of data analysis From a global perspective, the data service providers that empower enterprises’ digital transformation are numerous, diverse in type, and have very different genes. They include not only services Service providers that started the digital transformation of specific industries such as industry, finance, and retail also include general AI technology and data analysis product providers. In the context of data-driven business development and intelligent decision-making becoming an important trend in the digital transformation of enterprises, how to integrate the accumulated experience of enterprises Efficiently utilize the massive and complex data, mine and leverage the greater value of the data, and open up the data circulation and full-process digital transformation of the entire life cycle of enterprise design and R&D-production and manufacturing-marketing and sales-operation and maintenance, which has become an urgent need for enterprises at this stage. Questions to be answered.

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. In the process of applying AI technology and AI, enterprises will produce a variety of "Friction",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 cost and personnel investment, etc.

6

On March 6th, Altair released a project about Frictionless AI Global independent investigative report. The survey attracted participation from more than 2,000 professionals from 10 countries and multiple industries. The survey results show that if there is friction between departments within the enterprise, AI and data analytics projects will die prematurely, and the failure rate remains high (ranging from 36% to 56%).

Based on the pain point of enterprise data analysis application, Altair proposed "Frictionless

#AI" for the first time in the industry , the concept of "frictionless AI", aims to help enterprises solve the friction between users and data, between data and industry experts, as well as the constant changes in tools and infrastructure.

Picture: Altair’s “frictionless AI” capabilities

Through the

Altair RapidMiner platform, users can effectively solve Frictions in data analysis mainly include: communication deviations between data experts and industry experts;Lack of knowledge or complicated process design such as data access rights;Incomplete, confusing or imperfect data format ;Skills disconnect between data experts and established data analysis toolsets;Uncertainty or project redirection caused by constant changes in tools and infrastructurewait.

The dual integration of simulation technology and AI technology helps enterprises take off in digital transformation ##As the core component of industrial simulation software, R&D and design software such as CAE (Computer Aided Engineering) is the main tool for the digital transformation of manufacturing enterprises and a key competitive area for software providers.

CAE is based on three-dimensional solid modeling and provides services for product R&D and design by simulating the working status and performance of products in terms of structural strength, heat conduction, stiffness, etc. Based on this, it is widely used in manufacturing, energy and 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 tuning during the product design stage. , helping companies reduce costs and improve efficiency. Driven by "intelligent manufacturing", the importance of CAE to manufacturing companies continues to increase.

At the same time, the global market competition 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 one. -2 years will inevitably put forward higher requirements for the efficiency of all links. Especially in product R&D and design links, more and more emphasis will be placed on the accuracy and output efficiency of simulation models. However, traditional CAE 3D modeling technology is gradually unable to meet enterprises' requirements for such high timeliness and realistic model effects, forcing service providers to continuously explore better solutions.

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

#As one of the world's leading simulation service providers, Altair was mainly focused on helping automotive companies apply engineering simulation technology when it was founded. After facing the pain points of digital transformation in product R&D and design, through active R&D and mergers and acquisitions, we have gradually established a complete product line for simulation, high-performance computing and artificial intelligence.

Altair also noticed the opportunity of AI simulation, by integrating simulation technology In-depth integration with AI and combined with the rich data accumulated internally can provide customers with simulation results that are closer to real needs and better user experience.

The deep integration of AI and simulation can apply AI to the simulation workflow. Altair creates tools for this process, such as physicsAI and romAI. This can greatly speed up the analysis process. For example, the analysis process that used to take hundreds of hours can now be shortened to about half an hour using the integration of simulation and AI technology. On the other hand, using simulation tools and RapidMiner tools to make actual products Design and actual analysis; through simulation, we can obtain a large amount of data, which can be combined with actual data to synthesize data for AI model training. Better achieve "what you think is what you get", that is, realize the productization of ideas and needs, quickly establish machine learning models based on a large number of existing simulation results, and help enterprises quickly establish new models and output results.

From the perspective of digital twins, there are two paths for digital twin construction within Altair. One is based on traditional three-dimensional modeling; The process is slow, so Altair applies romAI's order reduction technology in the 3D modeling path to realize digital twins; the second path is purely through data, that is, the Altair RapidMiner platform, which uses data to build a digital twin based on Data-driven digital twins. In fact, Altair can achieve minute-level output of automobile crash test model results through the integration of simulation technology and AI technology.

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