What Is Mlops Culture Logo Designs Service

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Ahad
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Joined: Mon Jul 04, 2022 5:23 am

What Is Mlops Culture Logo Designs Service

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"I'm an engineer, don't ask me about operations." "I'm in charge of operations, so I don't understand technology." In the past, it was difficult for engineering and operations departments in an enterprise to exchange experience with each other, and there were often clear barriers. In the era of machine learning, in the field of data, machines have to regularly retrain data models to cope with various potential challenges after products are launched. However, in the financial industry with huge amounts of data and rapid changes, how to manage the machine learning process when team manpower and time are at a premium? Creating a "MLops culture" is Yushan Bank's solution. When "Data Engineering" and "Operation" go hand in hand, the Yushan Technology team creates efficient work and communication. The advent of MLOps: come, data engineering and operations go hand in hand Around 2018, Microsoft first proposed the concept of MLOps: That is , a collection of three words : Machine Learning (machine learning) + DEV (development) + OPS (operation).

What it represents is that machine learning is no longer a pure data field, and engineering and operations must work together to go faster and further. Coincidentally, foreign companies are also building MLOps culture to improve productivity. For example: DeNA , a well-known Japanese Internet company spanning the three major fields of community, e-commerce and entertainment , not only reduces the overall working hours by introducing MLOps, but also breaks the entry barrier of machine learning, Logo Designs Service
so that general business teams can also understand, and Operate machine learning. When this concept, which originated in the field of software technology, entered Yushan Bank, it also made the bank not just a bank, but more like an innovative software technology company. If the future talents are "π-type talents" spanning two or three major knowledge fields, then the financial enterprises that can win in the field of data application in the future will also be cross-border "π-type organizations". For example, engineers who specialize in building infrastructure and platforms also understand machine learning; engineers responsible for building products are also involved in operations, legal affairs, air ducts,

and other related knowledge; and first-line operating units can also discuss technology applications with engineers. In order to create a software development culture in which "engineering and operation go hand in hand", Yushan abandoned the traditional waterfall linear development model of "opening requirements, ordering specifications, and filling in forms", and established a virtual cross-unit organization within about two years ago. "Cross Function Team". This organization is like the Scrum model commonly used by engineers for process management and task assignment. Representative members of major units such as business, product planning, risk control and legal compliance, modeling, and engineering are involved at the same time, and customer experience is the core. Discuss together ways to solve pain points and breakpoints. And this virtual cross-unit organization has become an important platform for Yushan's major business units to interact and communicate in the field of data science. Break the bureaucratic system and anticipate the challenges after the product is launched
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