The term "VUCA era" is mentioned more and more frequently at this year's economic summit or industry summit. As a global era context, this concept accurately summarizes the era characteristics of today's world, namely volatility, uncertainty, complexity, and ambiguity.
Correspondingly, under this trend, today's world is increasingly emphasizing the value and role of technological innovation, especially the innovative application of digital technology. Focusing on the business field, digital technology has become a key path for major enterprises to cope with the "VUCA era". International giants Amazon Cloud Technology, Google, etc., and domestic manufacturers such as Alibaba and Baidu have successively invested in the focus of enterprise innovation. Cloud computing, artificial intelligence and other cutting-edge technology fields.
Among them, the value and innovation momentum of AI is the most prominent. According to Gartner, Al Engineering is one of the twelve important strategic technology trends in 2022. At the same time, technology companies represented by Amazon Cloud Technology are constantly emphasizing and promoting the concept of "AI New Engine" technology application and related technology products and services. At the same time, technology companies represented by Amazon Cloud Technology are constantly emphasizing and promoting the concept of "AI New Engine" technology application and related technology products and services, and released the "2022 Artificial Intelligence and Machine Learning Enterprise Innovation". White Paper" to help companies actively respond to the challenges of the "Uka Era".
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The transformation of AI into an engine represents a technological path that continues to mature. Under the "VUCA era", such changes are profoundly affecting the future direction of the business society.
Behind the new AI engine, the underlying technical logic is changing
At present, AI technology is constantly infiltrating all aspects of business society. In Gartner's "2022 Gartner Emerging Technology Hype Cycle Development Trends", it pointed out that "AI is becoming increasingly popular and an important part of products, services and solutions. This trend is accelerating the creation of dedicated AI models. , which is then used to support the development, training and deployment of automated models. AI automation refocuses the human role in AI development to improve forecasting and decision-making accuracy and reduce the time to expected benefits.”
AI technology is accelerating towards large-scale application, providing huge enabling value for the development of economic industries. For this, in the practical case of Amazon Cloud Technology, there is also a clearer understanding, and the four major business values are intuitively presented.
1. Promote business growth. Youdo Ledu achieved 20% monthly active user growth in one month through Amazon Personalize; Foxconn used Amazon Forecast to increase the accuracy of demand forecasting during the epidemic by 8%, saving more than $550,000 for the Mexican factory overhead.
2. Improve operational efficiency. The Daniel Wellington brand used Amazon Rekognition to create a seamless process that made processing returns 15 times faster than ever before; Atlassian, a well-known software developer, reduced code review time from days to minutes through continuous analysis with Amazon CodeGuru.
3. User experience innovation. Based on the blessing of AI technology, new forms of services such as unmanned stores and voice assistants are entering the public and becoming a norm. For example, OPPO Xiaobu Assistant relies on Amazon EC2 Inf1 instances to bring users a brand new customer service experience in application scenarios such as FAQ and chat, and end-to-end latency is reduced by up to 25%.
4. Quality assurance and risk control . From content auditing to risk control and anti-fraud, AI technology is providing a set of safe and reliable solutions for enterprises. Among them, the game trading platform CDkeys has used Amazon Fraud Detector to reduce fraudulent transactions by 6% and automatically complete more than 90% of transactions that were previously marked as requiring manual review.
There are still many similar practices in the current technological innovation and application process, and behind this series of practices, the underlying technical logic has actually been changing - in addition to AI technology, it also includes cutting-edge technologies such as big data and cloud computing. In the continuous integration, it is injected into the underlying framework of industrial development to catalyze application innovation from the basic level.
Taking the automobile industry as an example, the core of traditional automobiles is engine, transmission and chassis technology, while the core of new energy vehicles is three-electric technology, intelligent cockpit, intelligent driving and so on. Electrification and intelligence are becoming new trends in the automotive industry, which have brought disruptive changes to cars. The power system needs to be innovated, the chassis also needs to be redesigned, and intelligent driving needs to break through. In the process of such bottom-level innovations , the new technology represented by AI has become an indispensable core support.
In the industrial field, similar changes are taking place simultaneously. Intelligence and networking are the two key directions of current factory upgrades. The application of cloud + AI runs through all production processes.
At this point, it may not be difficult to understand that technology companies represented by Amazon Cloud Technology are constantly promoting the concept of new AI engines at this node, and using "engine" to emphasize AI is not only because AI has brought huge business. The value lies in the fact that the innovation logic at the bottom of the industry has changed. Just like the power source of automobiles has changed from fuel to electric, new technologies such as AI and cloud computing are also providing new impetus for brand-new industrial innovation.
This is a technological change that focuses on the core of the bottom layer, and it is also an innovation that can subvert the development logic of business society. Then, whether it is a technology company like Amazon Cloud Technology or any other company, if it cannot participate in this change, it is very likely to be at a disadvantage in the next business competition until it is eliminated.
Use the principle of "engine" to understand the value of technology
At present, what enterprises can and must do is to actively embrace change and participate in this digital wave. In this process, enterprises will have to focus their innovation on cutting-edge technologies such as AI like Amazon Cloud Technology. Although not every enterprise has the ability to innovate in technology, any enterprise can choose a suitable digital service Business partners to cooperate, rely on their technical capabilities to reconstruct their own business processes, and jointly complete this innovation.
However, if you want to do this well, companies cannot be ignorant of the development of technologies such as AI, and must try to understand the value of new technologies and the principles of innovative applications. Taking the new AI engine as an example, Amazon Cloud Technology has been using "engine" to emphasize AI, and the best way to understand a new technology is not its own technical system, but its current value positioning, that is, from the "engine" Value cut to understand the characteristics of why the new AI engine can be used as the "engine" of the economic industry at this time.
In short, the AI technology at this time is playing the value of the engine, and the characteristics presented by the engine itself are also fed back to the innovative application of AI technology.
1. Fully mix. How does the engine work? In the cylinder, air and gasoline are injected into the intake hole and the oil delivery hole respectively. After the mixture is fully mixed, the spark plug ignites the mixture, and the violent explosion drives the piston to move, thereby generating power. The same is true for the principle that AI technology drives the development of the industry, that is, it explodes to generate a powerful momentum after being fully mixed.
In this process, there are both traditional and cutting-edge technologies that are fully mixed with AI technology, depending on the needs of scenario applications. At present, cloud + AI is the strongest and most common technology paradigm among them. For example, while building a new AI engine, Amazon Cloud Technology has proposed a cloud-native digital strategy, combining cloud computing with AI technology to empower enterprise customers, thereby achieving broader and more agile scenario innovation and application deployment.
Second, the standard process. Intake/fuel delivery-mixing-igniting-explosion-movement-generating power, within the engine technical system, power generation has a very complete set of standardized processes. Today, within the new AI engine, a similar set of standard processes is being formed, which greatly improves the application efficiency of AI technology.
For example, in the process of providing services for enterprises, the new AI engine of Amazon Cloud Technology has formed a relatively complete set of standard processes, namely "architecture design - technology selection - landing practice". First of all, Amazon Cloud Technology has created a unified data base in the cloud, built a basic application framework, and realized one-stop data + AI applications. Then, according to the application requirements of the enterprise, the selection and application are carried out in the powerful product matrix of Amazon Cloud Technology, and finally the implementation is realized.
This standardized process has unprecedentedly improved the application efficiency of AI technology in specific scenarios under the powerful product matrix. The product matrix of Amazon Cloud Technology includes Amazon Kendra for search, Amazon Monitron for industrial manufacturing, Amazon HealthLake for healthcare, Amazon Translate for text and document processing, and Amazon for vision. Rekognition, Amazon Polly, which focuses on speech semantics, etc., basically meet the current innovation needs of enterprises, allowing enterprises to choose according to their needs.
3. Power unit. The engine is a power unit, which is its core value embodiment. The same is true for the value positioning of the new AI engine in industrial development. Whether it can bring strong power and value to business operations is always the foundation of validating an AI technology solution.
At present, more and more enterprises are choosing the AI/ML service of Amazon Cloud Technology to build new engines. It can also be seen from the above-mentioned practical cases that companies such as Youdao Ledu, Foxconn, OPPO and other companies use Amazon Cloud to Technology's AI/ML services have achieved business growth of varying degrees. The value feedback of the market and the driving force of the industry are always the consideration criteria for a new AI engine, which is the inevitable direction for AI technology to participate in business development.
Fourth, brand differences. Although the underlying principles are the same, the engines developed and tuned by different manufacturers are different after all, which brings a completely different driving experience to car drivers. The same is true for the new AI engine. The differences between brands will inevitably affect the digital transformation of enterprises.
So to evaluate a new AI engine, it is inevitable to make judgments on the brand manufacturers behind it. There are also many criteria for judgment, such as technical ability, industry influence, service level, etc. The relatively systematic criteria come from the evaluation lists of various authoritative organizations. For example, according to the "Magic Quadrant Report for Cloud AI Developer Services in 2022" released by Gartner, it can be seen that Amazon Cloud Technology, relying on strong technical execution, forward-looking and rich product matrix, has successfully ascended the leadership for three consecutive years. the quadrant.
Then, for an enterprise that wants to participate in the digital wave, it can understand the innovative application of technology based on four aspects: first, full mixing, that is, the synergy between technologies; second, standard process, that is, technology from Steps from design to implementation; 3. Power unit, that is, the value feedback brought by technological innovation and application; 4. Brand difference, that is, the strength of brand manufacturers behind the technology.
Technology reshapes business processes to help companies ride through economic cycles
Choosing the right technology brand and creating an AI engine that meets their own business development needs will fundamentally use technology to reshape business processes, which is the key to helping companies go through the current economic cycle—more and more companies are beginning to realize to this point.
According to data released by the Ministry of Industry and Information Technology, from 2012 to 2021, the scale of my country's digital economy has grown from 11 trillion yuan to over 45 trillion yuan, and the proportion of digital economy in GDP has increased from 21.6% to 39.8%. The digital economy is becoming a The leading force driving the development of regional economy and industry, the new generation of digital technologies represented by AI, big data, cloud computing, etc., are profoundly affecting the development of enterprises.
Under the general trend of comprehensive economic transformation, all traditional service forms, product forms and even industrial forms are likely to change. Commonly, in the retail industry, unmanned stores are becoming a representative of new retail; in the home furnishing industry, smart homes have opened up another new direction for home services; in the automotive industry, smart driving is accelerating toward reality and so on. With the blessing of new technologies, a new situation is being opened up.
The "VUCA era" is a global era context, as is technological innovation, both of which will bring a lot of uncertainty, and this uncertainty has both negative and positive sides—— This is true for society, and it is true for business as well.
The key lies in how companies make choices at this node. Amazon Cloud Technology continues to increase research and innovative applications in the field of cutting-edge technology, which is an optimal solution given by it as a technology enterprise, that is, using technological innovation to cope with the "VUCA era". And this will also be the best direction that other companies can make under the digital wave of the "VUCA era".
Technological innovation is the best solution to the "VUCA era".
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