Position: Home page » Blockchain » Bigdata blockchain
Bigdata blockchain
Publish: 2021-04-22 18:26:33
1. Big data, artificial intelligence (AI) and blockchain are hot topics at present. These emerging technologies will change our future life all the time. So, for HR practitioners, what impact will these emerging technologies have on HR
big data
big data refers to the data set that can not be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight and process optimization ability
in the past, when recruiting personnel, it was first to establish a competency model based on theory. This model is based on certain experience, logic and hypothesis, and does not test whether it is really correct and effective in practice, but pays more attention to the logical inference before and after. However, the core of big data is to speculate what may happen in the future through massive data, rather than establishing causality. It comes from the summary of past practice. Google can be said to be the pioneer of employing big data technology. Google first let all employees complete a questionnaire with hundreds of questions, and then use big data analysis to get a set of mathematical model, so as to find the right talents according to the mathematical model. In this way, Google will not only judge the ability of job seekers based on their diplomas and grades, but also find those job seekers with great potential who are not good at school and grades
at present, big data is used in HR, mainly to digitize the behavior characteristics of the company's existing personnel, and to establish the competency model through big data and algorithms. The difficulty of application lies in how to conct data and how to establish mathematical model<
artificial intelligence, abbreviated as AI, is to study the law of human intelligence activities, construct artificial systems with certain intelligence, and study how to make the computer complete the work that needs human intelligence in the past, that is, to study the basic theory of how to use computer software and hardware to simulate some human intelligent behaviors Methods and techniques. For example, our common intelligent search is a kind of AI application
predictive algorithms and machine learning, as a tool to identify the best candidates, are emerging rapidly, and many AI + recruitment companies are emerging. By using AI to quickly evaluate the personal quality of job seekers, through the investigation of language preference, micro action, psychological emotion and social media language, the conclusion is drawn. You can also use AI tools to filter resumes and search in the database to save recruiters' time and sell jobs to qualified candidates automatically. AI recruitment software can be used in the early stage of recruitment to narrow the range of candidates. In the late stage of recruitment, employers often choose face-to-face communication and artificial judgment. This software improves the efficiency of recruitment and reces the bias of screening
at present, the application of AI in HR is mainly in the external recruitment software services, and the internal establishment of recruitment based on AI costs a lot
blockchain
blockchain is an encrypted general ledger of digital records, which are organized into a group of data, called "blocks", and distributed on a network. These blocks are located on the server and are called "nodes" that are chained together. Whenever a new transaction occurs, the blockchain will be authenticated on the network. Therefore, the authentication of each node is required to add the block to the chain. Blockchain creates trust because a of the chain showing each transaction is held by the entire network. It's a way to distribute data, only with the people you want to share it with, and the data can only be modified or deleted by its owner. It's encrypted, and it's almost impossible to change unless you're the validation owner of the data
the immutability and openness of information in blockchain make this data storage method very reliable. In the past, we need to spend a lot of time to verify the authenticity of ecation certificates, the effectiveness of skills, and even need to verify the relevant information through external background investigation agencies. Similarly, job seekers are reluctant to disclose personal information for fear of disclosure. Blockchain technology can help recruiters verify candidates' certificates in a highly secure way, rece the possibility of certificate being changed or forged, and effectively protect job seekers' information. In this way, we will rece the time of information verification and improve the efficiency of recruitment
at present, the application of blockchain is only a creation and conception. It requires a large number of people and organizations to participate in it. Only in this way can it be applied in the field of HR in the future.
big data
big data refers to the data set that can not be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight and process optimization ability
in the past, when recruiting personnel, it was first to establish a competency model based on theory. This model is based on certain experience, logic and hypothesis, and does not test whether it is really correct and effective in practice, but pays more attention to the logical inference before and after. However, the core of big data is to speculate what may happen in the future through massive data, rather than establishing causality. It comes from the summary of past practice. Google can be said to be the pioneer of employing big data technology. Google first let all employees complete a questionnaire with hundreds of questions, and then use big data analysis to get a set of mathematical model, so as to find the right talents according to the mathematical model. In this way, Google will not only judge the ability of job seekers based on their diplomas and grades, but also find those job seekers with great potential who are not good at school and grades
at present, big data is used in HR, mainly to digitize the behavior characteristics of the company's existing personnel, and to establish the competency model through big data and algorithms. The difficulty of application lies in how to conct data and how to establish mathematical model<
artificial intelligence, abbreviated as AI, is to study the law of human intelligence activities, construct artificial systems with certain intelligence, and study how to make the computer complete the work that needs human intelligence in the past, that is, to study the basic theory of how to use computer software and hardware to simulate some human intelligent behaviors Methods and techniques. For example, our common intelligent search is a kind of AI application
predictive algorithms and machine learning, as a tool to identify the best candidates, are emerging rapidly, and many AI + recruitment companies are emerging. By using AI to quickly evaluate the personal quality of job seekers, through the investigation of language preference, micro action, psychological emotion and social media language, the conclusion is drawn. You can also use AI tools to filter resumes and search in the database to save recruiters' time and sell jobs to qualified candidates automatically. AI recruitment software can be used in the early stage of recruitment to narrow the range of candidates. In the late stage of recruitment, employers often choose face-to-face communication and artificial judgment. This software improves the efficiency of recruitment and reces the bias of screening
at present, the application of AI in HR is mainly in the external recruitment software services, and the internal establishment of recruitment based on AI costs a lot
blockchain
blockchain is an encrypted general ledger of digital records, which are organized into a group of data, called "blocks", and distributed on a network. These blocks are located on the server and are called "nodes" that are chained together. Whenever a new transaction occurs, the blockchain will be authenticated on the network. Therefore, the authentication of each node is required to add the block to the chain. Blockchain creates trust because a of the chain showing each transaction is held by the entire network. It's a way to distribute data, only with the people you want to share it with, and the data can only be modified or deleted by its owner. It's encrypted, and it's almost impossible to change unless you're the validation owner of the data
the immutability and openness of information in blockchain make this data storage method very reliable. In the past, we need to spend a lot of time to verify the authenticity of ecation certificates, the effectiveness of skills, and even need to verify the relevant information through external background investigation agencies. Similarly, job seekers are reluctant to disclose personal information for fear of disclosure. Blockchain technology can help recruiters verify candidates' certificates in a highly secure way, rece the possibility of certificate being changed or forged, and effectively protect job seekers' information. In this way, we will rece the time of information verification and improve the efficiency of recruitment
at present, the application of blockchain is only a creation and conception. It requires a large number of people and organizations to participate in it. Only in this way can it be applied in the field of HR in the future.
2. 1. Deep learning and AI. In essence, artificial intelligence is a broader concept than deep learning. AI is divided into weak AI and strong AI at the present stage. In fact, the so-called "Ai" realized by the current technology is weak AI, and that of aochuang is strong AI (even boss level). Deep learning, a technology or idea in AI, was once listed as the top ten breakthrough technologies in 2013 by MIT Technology Review. Or in other words, deep learning (I prefer to call it an idea, that is, end-to-end) may be the breakthrough to achieve strong AI in the future. 2. Deep learning and ml. There is a subtle relationship between DL and ml. Before DL became popular, it was based on neural network learning algorithm in ml. with the rise of computing resources and big data, neural network has become dl. There are two views on DL in academic circles. One is to regard DL as a feature extractor and only use it to extract powerful features; On the other hand, I hope to develop it into a new branch of learning, which is the end-to-end "deep learning thought" I mentioned above.
3. Big data refers to the data set that can not be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight and process optimization ability. 5V features of big data (proposed by IBM): Volume (large amount), velocity (high speed), variety (diversity), value (low value density), veracity (authenticity)
4. The network has its own distributed storage system, but some offline analysis will also use Hadoop. Tencent's storage is basically relational, but it is also using Hadoop for distributed architecture. Bigdata is a concept, which refers to big data.
5. Hello, about your question, I hope the following questions will be useful to you:
big data refers to the data set that cannot be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth and diversified information asset that needs a new processing mode to have stronger decision-making power, insight and process optimization ability. 5V features of big data (proposed by IBM): Volume (large amount), velocity (high speed), variety (diversity), value (low value density), veracity (authenticity), and Hadoop platform.
big data refers to the data set that cannot be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth and diversified information asset that needs a new processing mode to have stronger decision-making power, insight and process optimization ability. 5V features of big data (proposed by IBM): Volume (large amount), velocity (high speed), variety (diversity), value (low value density), veracity (authenticity), and Hadoop platform.
6. Bigdata is a hot topic recently, but it's not a new word according to its name. After all, big is a relative concept. Historically, the technology of database, data warehouse, data mart and other information management fields, to a large extent, is also to solve the problem of large-scale data.
7. A. ASC | desc: the sort order is specified
b.nulls first|nulls last: Specifies that the return line containing null value should appear at the first or last position in the ordered sequence
given a fixed or changing data window method, the analysis function will operate on these data. In a set of windows based on arbitrary changes or fixations,
this clause can be used to let the analysis function calculate its value< br />,
b.nulls first|nulls last: Specifies that the return line containing null value should appear at the first or last position in the ordered sequence
given a fixed or changing data window method, the analysis function will operate on these data. In a set of windows based on arbitrary changes or fixations,
this clause can be used to let the analysis function calculate its value< br />,
8. Big data refers to the data set that can not be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight and process optimization ability
blockchain is a new application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies. The so-called consensus mechanism is a mathematical algorithm to establish trust and obtain interests between different nodes in the blockchain system. Puyin, bitcoin and dogcoin are all application forms of blockchain.
blockchain is a new application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies. The so-called consensus mechanism is a mathematical algorithm to establish trust and obtain interests between different nodes in the blockchain system. Puyin, bitcoin and dogcoin are all application forms of blockchain.
Hot content