AI keeps colliding with new sparks.
If a few years ago, artificial intelligence brought "amazing changes and influences", then now, whether at home or abroad, artificial intelligence is like snowflakes that bloom in real time with the children's footsteps at the opening ceremony of the Winter Olympics.
The "20021China Artificial Intelligence Industry Research Report" issued by iResearch shows that AI technology has provided value in important industrial transformation links such as incremental technical improvement and systematic forward-looking research and development in various industries, and has widely penetrated into the main links of economic production activities. As the core productivity of intelligent transformation, the incremental value of innovation brought by artificial intelligence technology attracts people's attention, and it is evolving from the integration and empowerment stage of AI technology and typical application scenarios in various industries to the mature stage of efficient industrial production.
At present, artificial intelligence technology has gone out of the laboratory and penetrated into many links of enterprise design, production, management, marketing and sales, and its maturity has been continuously improved. At the same time, with the emergence of new technology models, the polishing of the value of application scenarios in various industries, and the improvement of product effects under the accumulation of massive data, artificial intelligence applications radiate from pan-C-end fields such as consumption and the Internet to traditional industries such as manufacturing, energy and electric power, constantly colliding with new sparks.
The tenth five-year plan points out that a number of forward-looking and strategic major national science and technology projects should be implemented in frontier fields such as artificial intelligence and quantum information. The new "IT" represented by AI empowers the real economy, innovates the production organization form, and realizes the digitalization of the whole industrial chain and the whole scene, which has become the new engine of China's economic transformation.
The top-level design outlines a magnificent development prospect for AI, but the government has set up a stage for enterprises to sing opera. Only technology enterprises can "land" and "apply" artificial intelligence to promote the further development of science and technology and feed back economic growth. How to satisfy "landing" and "application"?
First of all, real and visible practical application cases; Secondly, the corresponding products that can be popularized on a large scale; In addition, the application effect can be proved by statistical data. In short, the emergence of products that are visible, tangible, effective and widely used by human beings can be said to make AI really play a role.
Among them, data-driven decision-making intelligence makes AI technology and landing scene meet each other, which provides a certain road for the development of artificial intelligence.
The key to remoulding core competitiveness
In the era of digital economy, data has become an important asset for development. How to make good use of data and give full play to its value has become a new demand for enterprises and even countries to build competitiveness. In the rapidly changing market environment, intelligent decision-making driven by data is an inevitable trend in the future, and intelligent decision-making will be the key to remoulding core competitiveness.
First of all, intelligent decision-making can activate enterprises to precipitate data and improve the accuracy and predictability of decision-making. At present, intelligent decision-making driven by data, algorithms, technologies and scenarios has realized rapid processing of decisions and actions, and has the ability of continuous iteration and optimization. In traditional industries, besides the rules, the business scenarios of enterprises also depend on the accumulation of employees' experience and practice, so as to make forward-looking decisions.
Secondly, intelligent decision-making can provide deeper business insight in enterprise management. Intelligent decision-making does not mean that all decisions are completely automatic, otherwise human autonomy will not be reflected, and more attention will be paid to tactics and operation to provide intelligent, fast and accurate decision-making strategies.
In addition, intelligent decision-making is advanced in improving decision-making quality and efficiency and reducing the error rate of manual operation. In the face of massive information, it is not enough for human beings to rely on the natural intelligence of the human brain. Machines are faster than people in processing information, exchanging information, parallel computing and linear computing, while intelligent decision-making can find more essential laws from huge, complex and disorderly individual data and deduce the optimal decision-making scheme from billions of results.
It can be said that the emergence of AI decision-making can accurately help thousands of industries create value for enterprises with data and technology, thus forming a full-link intelligent decision-making solution, instead of "slapping the head" and paying high trial and error costs. With the continuous application of data algorithm, an important part of new infrastructure, in many business scenarios, intelligent decision-making based on AI technology using models and algorithms fully proves that it is more accurate than manual experience decision-making, and business decision-making is evolving from subjective experience-based decision-making to scientific data intelligent real-time decision-making.
In the Report on Decision Intelligence, iResearch also pointed out that decision intelligence uses technologies such as machines to manage data, mine and utilize the information behind the data, so that machines can have the functions of independent analysis, prediction and selection, and can provide more real-time and efficient decision-making efficiency, thus solving the core decision-making management problems and occupying the C position of AI's future development. Banks, insurance companies, securities companies and funds have launched intelligent decision-making products to overcome business pain points such as difficulty in obtaining customers in marketing, anti-transaction fraud and illegal fund-raising.
Decision-making intelligence to build the future "nervous system"
The wind rises at the end of qingping, and the waves form between ripples. Digital transformation has entered the deep water area. For enterprises, if they don't keep up with the pace of transformation, they will not face the problem of whether they can make money, but the problem of life and death. What is certain is that in the new digital infrastructure era, digital capability will become the most basic strategic capability of enterprises, and the deep integration of intelligent decision-making technology and business scenarios will make dreams possible and help enterprises draw a secondary growth curve.
At present, more and more enterprises are eager to find, analyze and warn hidden problems in data intuitively by introducing AI decision-making, so as to deal with risks in business in time and find growth points. As the key support of AI decision-making technology and resources, AI platform is the core carrier to enable many AI solutions, which can provide cloud computing support, data governance integration tools, general model development capabilities, and even provide standardized AI models for many application scenarios, and promote the realization of high efficiency, low cost and large-scale AI innovation empowerment.
However, the skinny reality is that many enterprises generally lack the support ability of intelligent application R&D and deployment, which brings problems such as high threshold for research and development of AI algorithm model and difficulty in landing workshop deployment tools in actual production environment. AI benchmarking companies anchor this market pain point, trying to get AI out of the fragmented state through a solid platform, making it widely distributed in various industry tracks, obtaining more innovative technological achievements while having lower demand for personnel, and making these innovative technological achievements quickly commercialized.
Photo: 202 1 China Artificial Intelligence Industry Research Report
Samoyed Cloud, which was rated as an excellent case by iResearch in China Artificial Intelligence Industry Research Report in 20021year, is doing collaborative innovation based on artificial intelligence and customer business scenarios, becoming the enabler of digital upgrade, the creator of value and the provider of change, leading China AI to make decision in by going up one flight of stairs.
Samoyed Cloud's out-of-the-box, self-customized and cost-effective model training and development platform not only enables cloud computing to provide computing power and storage space for data and models in an extensible way, but also superimposes the capabilities of model development, training and delivery, covering the whole scene and the whole industrial chain with decision-making intelligence, and empowering all industries with technology to complete the strategic layout of transforming old and new kinetic energy.
At the core technology level, Samoyed Cloud has built a strong competitive barrier, and with an end-to-end cloud native architecture system, it has opened up the connection and collaboration among computing power, platforms and algorithms, greatly reducing the cost of artificial intelligence production factors. At the technical application level, with the powerful intelligent algorithm of Samoyed Cloud, enterprises can establish forecasting and decision-making models for different business scenarios. At the level of intelligent decision-making, the decision-making process is optimized with the help of AI and big data technology, and corresponding actions are taken according to the effect to form a closed loop of decision feedback.
Using the core technology of intelligent decision-making to build a complete decision-making nervous system for enterprises, Samoyed Cloud hopes to influence the whole industry or even a wider range of business decisions. Its intelligent decision-making solution takes scenarios as the key driving force, covering logistics, intelligent manufacturing, warehousing, cross-border e-commerce, supply chain and other fields, solving the decision-making optimization problems in a series of business scenarios, obtaining higher-level knowledge and insight for decision makers at all levels in various fields, and improving the scientific nature of decision-making.
"Observe the sky, infer everything and so on." Just like Han? Lu Jia, bureaucratic? The philosophy revealed in Ming Jie is that everything in nature is not static, which requires us to be good at observation and analysis and deduce the trend change with universal laws. Nowadays, the trend of digital transformation has swept the world, and every enterprise should grasp the trend and establish its own intelligent decision-making "nervous system".
Samoyed cloud AI decision-making is helping millions of industries to build the "nervous system" of the future.