For the development of artificial intelligence, there is now some hype in society, such as artificial intelligence "destroying" the earth, can artificial intelligence really destroy the earth now? Before it destroys the earth, what dividends can we get from this fast-growing industry? Let's find out with the monks.
First, the development and application status of artificial intelligence technology
1. What is artificial intelligence
Artificial intelligence, also known as intelligent equipment and machine intelligence, refers to the intelligence expressed by machines made by people. Generally, artificial intelligence refers to the technology that presents human intelligence through ordinary computer programs.
2. The development of artificial intelligence technology
Artificial intelligence can be divided into specialized artificial intelligence and general artificial intelligence from usability. Dedicated AI is task-oriented, goal-oriented, and simple to model. Now has reached a single point breakthrough of special artificial intelligence, in the local intelligence level of the single test can surpass human intelligence, the overall development level of general artificial intelligence is still in the initial stage, can process visual and auditory information, collect a large amount of data for machine learning, but can not be a deep concept abstraction and reasoning decision to deal with well, is intelligence is not intelligence, and there is no perceptual thinking judgment.
3. Current application fields of artificial intelligence
(Image source network)
Second, the three leading enterprises in the artificial intelligence industry
1. iFLYTEK: China's premier voice technology and artificial intelligence leader. The company focuses on the field of speech synthesis and recognition, ranking first in the Chinese voice market share, and leading the formulation of the world's first ISO/IEC international standard for intelligent voice interaction, which is the first international standard for intelligent voice interaction led by China.
2. Zhongke Chuangda: The company provides a complete set of solutions from chip layer, driver layer, operating system layer and other algorithm layers for embedded artificial intelligence platform, and jointly develops new artificial intelligence technology and industry-oriented artificial intelligence solutions with other enterprises, and its MMS is one of the world's largest mobile and industrial graphic image vision technology enterprises.
3. Sugon: Committed to promoting the cross-integration of big data, cloud computing and artificial intelligence, and building a smart city application ecology with government big data as the core. In cooperation with other enterprises, it has jointly developed artificial intelligence servers, artificial intelligence joint laboratories, and doctor-reading robots for experiments and in-depth research.
Third, the high-paying professional positions brought by the artificial intelligence industry
1.AI Architect:
Expected annual salary of more than $100,000. Mission-critical solutions need to be piloted and a viable, reliable, and cost-effective AI program developed.
2.ML Engineer:
The average annual salary for machine learning engineers is $114,856, with good engineers earning up to $200,000 a year. Serve as a bridge between data scientists and software engineers, working collaboratively.
3. Data Scientist:
The average annual salary is $120,931, and senior executives earn much more than that. Data scientists are people who collect, analyze, and understand extremely large and complex data sets to provide actionable insights for strategic planning.
4. Business Intelligence (BI) Developers:
The average annual salary is $99,809. Analyze complex data and draw pictures to show where your business is headed. A good BI analyst requires very sharp technical and analytical skills, as well as strengths in modeling, designing, and maintaining complex cloud-based data platforms.
4. Skills required for the above positions
1.AI Architect: An advanced degree in computer science, statistics or applied mathematics, with extensive relevant experience in the AI industry. You can register for online artificial intelligence programs to train skills.
2. Data scientist: Become a programmer or software developer first, and upgrade to a data scientist in the field of artificial intelligence on this basis. Familiarity with platforms such as Hive, Hadoop, MapReduce and Spark, as well as proficiency in statistical computing languages such as Perl, Python and SQL, is required.
3.ML Engineer: Proficient in code and data science, with experience in agile development processes and major programming languages (e.g. Python, Java), with a background in data science, predictive models, and applied research.
4. Business Intelligence (BI) Developer: You can enter the field of business intelligence in artificial intelligence through a bachelor's degree in computer science, and have rich experience in data mining, server integration, data warehouse design, SQL querying, and BI technology. And have enough knowledge of parallel computing, benchmarking, AI, and machine learning.
Finally, the monk concluded that any high-paying position is inseparable from the early career accumulation, a certain amount of experience and personal knowledge and skills reserves, plus a little luck bonus, in order to create a "high-paying master". Attention fresh graduates who want to enrich their resumes and pave the way for future success! Come and submit your resume here!