Digital and intelligent talents are an important supporting resource for the development of the digital economy era. The competition for talent quality, stock and reserve has become an important content of comprehensive national strength and location competition. As big data and artificial intelligence technology are the main driving forces of the digital economy, relevant talents cultivation is particularly important. Since 2016, the Ministry of Education has successively approved the establishment of several big data and artificial intelligence majors. The construction of new majors and new disciplines has rapidly formed a mature and perfect talent training method. important challenge.
How to deal with challenges and improve the quality of training digital intelligence talents? Tempo Talents, a digital intelligence talent application capability solution created by Merrill Lynch based on decades of experience in enterprise digital transformation services, may give you new ideas.
Q: What is Tempo Talents - a solution for the application ability of digital talents?
Tempo
Talents——the application ability solution of digital intelligence talents, focusing on the development of industrial technology and talent demand, focusing on the cultivation of "application ability" of big data talents, building a capability platform for colleges, students, and enterprises to cooperate and develop together, and serve college talents Training, discipline construction and scientific research innovation, build a school-enterprise integration and innovative talent training model, and achieve an efficient match between talent supply and industry demand.Q: What are the advantages of Tempo Talents—the application ability solution for digital talents?
Drive the cultivation of digital intelligence talents in colleges and universities from the perspective of industrial development.
Merrill Lynch Data, as a well-known provider of data governance, data analysis products and technical services in China, has been deeply involved in the industry for decades. It has served the digital transformation projects of many leading enterprises in the industry, providing them with tools and technical support for transformation. At the same time, In the process of digitizing front-line work, I also have a better understanding of the new management models, new business forms and new talent needs that have emerged under the digital transformation of the industry.
Merrill Lynch Data transforms the profound industrial technology accumulation and industrial application practice into the empowerment of university talent training. This will improve the high-quality development of digital talents, and at the same time, through the integration of industry and education, and jointly educate talents with universities, it will bring more intelligence and talent reserves to the digitization of the industry, and then promote the entire industry. Advances in the digital economy.
Tempo Talents——The application ability solution for digital talents takes the industrial chain as the base, realizes the interoperability with the data chain and the talent chain, and builds the cultivation of digital talents for colleges and universities with the thinking and needs of the industry. The new concept of "1234567" proposed by Tempo Talents, combined with the characteristics of the industry and the needs of talents, creates an integrated big data experimental platform for the teaching practice and centralized training of big data-related majors in colleges and universities, for the cross integration of disciplines and the cultivation of compound talents , The in-depth integration of government, industry, education and research, and the intensive construction and management of colleges and universities have opened up new paths.
"1" teaching cloud center
With the continuous deepening of modern digital education and the changes in society's demand for talents, big data and artificial intelligence technology have gradually developed into one of the basic skills necessary for digital talents. For colleges and universities, talent training is also getting out of the shackles of a single discipline , with the development goal of facing more disciplines.
Based on this concept, Tempo Talents focuses on the overall cultivation of comprehensive abilities such as digital intelligence ability, digital application ability, and digital literacy for all students in the school in combination with the needs of industrial development talents, and innovatively launches the concept of "one teaching cloud center" . Through a teaching cloud center that integrates teaching, practice, and scientific research, the full interaction between teaching and learning can be realized, and comprehensive and overall support can be provided for school teaching and scientific research. Cross-integration, covering the improvement of the comprehensive ability of the students of the whole school.
"2" Resource Centers
Based on the teaching cloud center, Tempo Talents has built two resource centers for schools, namely course resources and data resources.
▶Course Resource Center: Focus on the practical teaching of big data and artificial intelligence professional courses, with the core of application ability training, built in thousands of experimental courses, hundreds of practical training project cases, covering all aspects of big data related technologies and core applications, Various types of experimental courses are flexibly combined to meet the needs of university teaching resource library construction. At the same time, it supports custom experiments and training projects, creates a flexible course resource pool, and continuously optimizes and enriches course resources.
▶Data Resource Center: As a new factor of production in the digital age, data plays an important role in talent training and teacher research. The data resource center created by Tempo Talents, on the one hand, connects the internal data of various laboratories or disciplines in the school, Construct the school's own internal data element database to provide support for the reform of the teaching model and the cross-integration of disciplines; on the other hand, it provides real industrial data for scientific research and teaching, promotes the innovation of teachers' scientific research capabilities and the cultivation of students' application capabilities, so that students In the learning process, truly understand the value and significance of big data.
"3" development methods
Different colleges and universities have different student groups, and their training objectives and training models also have their own characteristics and styles. Therefore, the teaching methods must be differentiated and targeted, and cannot be stereotyped. Tempo Talents provides three development modes: low-code, programming, and hybrid interaction. It caters to the talent training needs of different disciplines, levels, and capabilities, and provides basic experimental training environments and tools and platforms for big data analysis.
▶For non-computer major students with weak coding ability, based on the drag-and-drop big data analysis and artificial intelligence development engine, data access, modeling and analysis can be performed to help students quickly understand the principles and applications of big data analysis Value, cultivate students' data thinking and ability to use tools to solve problems;
▶For computer big data majors with coding ability, based on multi-modes such as cloud desktop, command line, and interactive programming, they can use programming development methods to perform data processing and other operations, and exercise coding ability and data analysis ability;
▶There is also a hybrid interactive development model, through the integration of low-code and programming dual environments, aiming at application and core practical tasks, decomposing different practical links and tasks, optimizing the practical process, and focusing the key practical energy on the core experimental goals In addition, while improving the efficiency of experiments, it can also better train students' core skills.
"4" major subject direction
Tempo Talents focuses on the construction of big data majors in colleges and universities and the creation of big data + cross-direction micro-majors, and aims to meet the talent needs of industry-side big data, build a more focused and school-specific talent training program, and vertically subdivide four universities The subject direction is based on applied practice, combined with an immersive learning environment, and integrates knowledge, skills, tools, and methods, so as to cultivate students' data thinking and ability to solve practical problems.
▶Data science and big data technology: For science and engineering majors, based on new-generation information technologies such as big data and artificial intelligence, cultivate students' data management, analysis and application capabilities, and create personalized personnel training programs with disciplinary characteristics;
▶Big data management and application: oriented to management majors, with the training idea of integrating management disciplines and big data technology, to build and train compound management talents with "big data technology and management thinking" that meet the needs of the times;
▶Big data technology: For higher vocational big data majors, it is more inclined to application, with big data technology application as the core, building an application course system around the core content of big data governance and application, and cultivating students' technical application ability;
▶Big data + micro-professional: For interdisciplinary subjects, with big data + subject application as the core, cultivate application-oriented talents who understand professional knowledge + data thinking, build a big data + micro-professional course group, mainly to improve students' data literacy, practical operation, Combination of innovative spirit, data analysis and problem solving.
"5" big experiment mode
As the core content of the Tempo Talents application ability solution for digital intelligence talents , the five experimental modes are mainly used in teaching, practical training, scientific research, innovation and entrepreneurship and other fields, combined with relevant subject characteristics, matching teaching rules, through meta-sub-experiments, basic experiments The five modules of , application training, project actual combat, and innovative application provide support for the school's talent training in terms of basic knowledge, technical tools, industry applications, and innovation and entrepreneurship.
▶Meta-sub-experiment: The technical points and knowledge points involved in the course are "meta-subdivided" into sub-divisions, from basic principles, characteristics to final applications, progressively. Guide students to learn and practice with the mode of breakthrough, so that students can thoroughly understand each knowledge point and apply it proficiently;
▶Basic experiment: take engineering application ability as the core, carry out systematic learning and practice of knowledge and skills, combine actual technology and tool characteristics and use skills, conduct online experiments, and strengthen students' hands-on ability;
▶Application training: take the project application practice as the core, combine the real business scenarios of the industry, and carry out project training with the goal of solving problems, provide the double guarantee of environment and resources for the application training of teachers and students in colleges and universities, and truly realize the "application ability" of students nourish;
▶Project actual combat: Simulate the real environment of enterprise project implementation, based on the goal of project engineering implementation, multi-person collaboration and division of labor to carry out the complete process actual combat training of the full-link project, to cultivate students' teamwork and ability to deal with complex problems;
▶Innovative application: With the goal of stimulating creativity and landing practice, it provides a big data innovation platform from data access, data processing, data modeling, visual display to result management and application, and provides technical support for teachers' scientific research and students' innovation and entrepreneurship. Facilitate the implementation of big data + industry application innovation.
"6" major application scenarios
Focusing on the six major application scenarios of teaching course practice, centralized project training, scientific research innovation application, innovation and entrepreneurship practice, production-education data integration, and regional talent cultivation, it provides a platform and content support for college teachers to quickly carry out professional course practice teaching, and provides students with Multi-dimensional, multi-mode course experiment.
▶Student-oriented technical ability training, providing relevant platform resources, course resources and basic environment support, to achieve a comprehensive mastery of knowledge and skills from theory to practice;
▶For teacher-oriented scientific research and student innovation and entrepreneurship practice, provide integrated big data tools and basic capabilities from data collection, data processing, data analysis to achievement landing, and help them better realize the design of innovative ideas and innovative achievements landing;
▶Facing the construction of big data laboratories , it provides the ability to integrate production and education data. On the one hand, it breaks the data islands between laboratories of different disciplines in the school and realizes a unified center for data management. The data on the industry side realizes the in-depth docking and integration of industry, education and research;
▶For regional talent training, Tempo Talents connects data from different regions and industries, which can not only provide basic data resources for regional talent training, but also cooperate with regional governments to create systematic services for regional talent training, such as teacher training, Talent certification and other work, through clear positioning and planning, enable students to better match the chain of regional economic development.
"7" major service system
In order to better support the service and integration of production and education of the entire university, Tempo Talents starts from the needs of university discipline development and talent training, and focuses on discipline construction, teacher training, internship employment, competition support, training certification, scientific research cooperation, and industry docking. Provide services for colleges and universities in three dimensions, so as to improve the quality of big data talent training in colleges and universities.
At the same time, through the construction of relevant experimental environments, course resources, and project cases, a set of personalized training programs is provided for schools, which empowers schools to combine industry-related talent post ability requirements and post knowledge maps to build discipline-oriented courses. system reform.
Cultivate digital intelligence talents based on industrial practice
In the era of digital economy, under the background of digital industry and industrial digitization, great changes have taken place in the sequence of organizational positions and the matrix of talent capabilities. How to adapt to the needs of the society and cultivate applied digital talents is the direction that major universities are constantly thinking about and improving.
Relying on the practical experience of the industry, Merrill Lynch Data focuses on the demand for "numerical intelligence talents". "Dual-qualified and dual-capable faculty team" has improved the ability of discipline construction in colleges and universities, and provided solutions for the cultivation of talents in hundreds of colleges and universities.