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Artificial intelligence AI is still in decision-making automation stage
Artificial intelligence AI is still in decision-making automation stage
"I don't love that artificial intelligence very much, now is more accurate decision-making automation, how to collect data, the data analysis, and as much as possible to allow the machine to make the part of the decision." He at the board while writing these technical terms and it belongs to IaaS, PaaS and SaaS which layer marked side to the first financial explanation such as Amazon, Microsoft, IBM, force.
AmrAwadallah, co-founder of Cloudera, is the CTO of this year's machine learning and data analytics platform at IPO. In July 2000, Amr, the first start-up company founded by VivaSmartisan, was purchased by YAHOO, and he served as vice president of YAHOO's intelligent product engineering department. In 2008, he founded Cloudera.
"Our goal is to be able to use the analysis correctly and solve the problems that haven't been solved yet." Amr places itself in the field of artificial intelligence.
Breaking open with open source
Amr did a set of open source architecture, started from the Hadoop architecture, slowly extended the other 25 analytical tools, formed a shared data experience platform.
Creating an open source system and providing shared data experience is the Amr's view of automation in decision making. "The customer is not a technology company, they use technology to solve their business problems, in addition to companies such as BAT, the company did not even have motivation and ability to do software programming. What they should think about is how to use this platform to become a better bank, hospital, telecom company, etc.." Amr says.
From the perspective of Amr, Cloudera is competing with Microsoft and amazon. On the one hand, the bottom of the infrastructure provided by Microsoft and Amazon, which is IaaS, and on the other hand, in the PaaS platform, the customer has to SQL, machine learning, search and batch processing requirements. In this field, Cloudera has to face the competition with giants. "Amazon will correspond to different needs from different teams operate independently, but Cloudera hopes the service open, convenient for the user to manage and monitor in a unified platform, and also satisfy the government auditing demand." Amr says.
JP Morgan used the Cloudera platform to develop a set of software, to examine their relevant legal documents and contracts, lawyers service fees are high, machine learning can make the machine examination most of the presentation, only very special terms to be done by lawyers. Amr says 10 minutes of machine audit saves 14000 hours of work.
Today, the company that once invested in Intel already has a market value of $2 billion.
Amr prefers to think of IBM's Watson as a direct adversary. "Watson is a black box, and you need to give the data to them, you don't know how they're trained. Data is power, Watson will give you a look like a doctor, but as a customer lost value added value of its own, such as hospitals, manufacturing industry, you will lose control. You don't lock us up, and to machine learning, what we do is visible to you. How to serve the people, and this process we open is fully visible to the client, they still retain intellectual property rights, otherwise the customer is a kind of hurt, because they won't have the intellectual property rights, we are not in competition with them." He said.
In the new mode, if you try to open source, and let the customer see the whole process of machine learning, so the core competitiveness of the enterprise how to guarantee?
In order to maintain a unique business model, Cloudera will further increase the other exclusive core business modules, such as for supervision, distribution, security, encryption, audit module and data backup is not open.
So why hasn't this software been rapidly popularized? This software will usually and customers to develop, there are people who are willing to develop to the third party, "the lawyer firm may not have the power to do such a thing, because it will damage to their interests, our customers are required for this service." At present, Cloudera top three customers were from the financial, telecommunications and government sector, the government mainly used them to study some network security and anti money laundering problems.
This is the opportunity lies, is why when the extraordinary strength of the technology giant to penetrate all industries to bring about change, the field of artificial intelligence is still a new challenge to the giant enterprise A new force suddenly rises..
Chinese enterprises catching up
When it comes to competition, China is an inseparable City
Amr also does not deny this point, "Chinese is a very important market." in Chinese, there are many enterprises in cooperation with the Cloudera, for example, by working with Cloudera the beauty of the full integration of large amounts of data from the more than 10 thousand flagship stores, 300 million users and numerous partners, suppliers, distributors, re construction IT system, to achieve centralized management, to find solutions to the three core issues, to fit the needs of users, users complete the sales products at reasonable prices.
"They (customers) we will use open source software, also do not need to give us money, until they find the added value of their own, can try to use this platform to allow the robot to make decisions, when it can be put into production, we come to the matter of commercial, maintenance, wait until the time operation and optimization of come to us again." Amr says.
In fact, open source systems follow different protocols. The starting point of GPL is open source / free use and reference / modification / derivation of code
AmrAwadallah, co-founder of Cloudera, is the CTO of this year's machine learning and data analytics platform at IPO. In July 2000, Amr, the first start-up company founded by VivaSmartisan, was purchased by YAHOO, and he served as vice president of YAHOO's intelligent product engineering department. In 2008, he founded Cloudera.
"Our goal is to be able to use the analysis correctly and solve the problems that haven't been solved yet." Amr places itself in the field of artificial intelligence.
Breaking open with open source
Amr did a set of open source architecture, started from the Hadoop architecture, slowly extended the other 25 analytical tools, formed a shared data experience platform.
Creating an open source system and providing shared data experience is the Amr's view of automation in decision making. "The customer is not a technology company, they use technology to solve their business problems, in addition to companies such as BAT, the company did not even have motivation and ability to do software programming. What they should think about is how to use this platform to become a better bank, hospital, telecom company, etc.." Amr says.
From the perspective of Amr, Cloudera is competing with Microsoft and amazon. On the one hand, the bottom of the infrastructure provided by Microsoft and Amazon, which is IaaS, and on the other hand, in the PaaS platform, the customer has to SQL, machine learning, search and batch processing requirements. In this field, Cloudera has to face the competition with giants. "Amazon will correspond to different needs from different teams operate independently, but Cloudera hopes the service open, convenient for the user to manage and monitor in a unified platform, and also satisfy the government auditing demand." Amr says.
JP Morgan used the Cloudera platform to develop a set of software, to examine their relevant legal documents and contracts, lawyers service fees are high, machine learning can make the machine examination most of the presentation, only very special terms to be done by lawyers. Amr says 10 minutes of machine audit saves 14000 hours of work.
Today, the company that once invested in Intel already has a market value of $2 billion.
Amr prefers to think of IBM's Watson as a direct adversary. "Watson is a black box, and you need to give the data to them, you don't know how they're trained. Data is power, Watson will give you a look like a doctor, but as a customer lost value added value of its own, such as hospitals, manufacturing industry, you will lose control. You don't lock us up, and to machine learning, what we do is visible to you. How to serve the people, and this process we open is fully visible to the client, they still retain intellectual property rights, otherwise the customer is a kind of hurt, because they won't have the intellectual property rights, we are not in competition with them." He said.
In the new mode, if you try to open source, and let the customer see the whole process of machine learning, so the core competitiveness of the enterprise how to guarantee?
In order to maintain a unique business model, Cloudera will further increase the other exclusive core business modules, such as for supervision, distribution, security, encryption, audit module and data backup is not open.
So why hasn't this software been rapidly popularized? This software will usually and customers to develop, there are people who are willing to develop to the third party, "the lawyer firm may not have the power to do such a thing, because it will damage to their interests, our customers are required for this service." At present, Cloudera top three customers were from the financial, telecommunications and government sector, the government mainly used them to study some network security and anti money laundering problems.
This is the opportunity lies, is why when the extraordinary strength of the technology giant to penetrate all industries to bring about change, the field of artificial intelligence is still a new challenge to the giant enterprise A new force suddenly rises..
Chinese enterprises catching up
When it comes to competition, China is an inseparable City
Amr also does not deny this point, "Chinese is a very important market." in Chinese, there are many enterprises in cooperation with the Cloudera, for example, by working with Cloudera the beauty of the full integration of large amounts of data from the more than 10 thousand flagship stores, 300 million users and numerous partners, suppliers, distributors, re construction IT system, to achieve centralized management, to find solutions to the three core issues, to fit the needs of users, users complete the sales products at reasonable prices.
"They (customers) we will use open source software, also do not need to give us money, until they find the added value of their own, can try to use this platform to allow the robot to make decisions, when it can be put into production, we come to the matter of commercial, maintenance, wait until the time operation and optimization of come to us again." Amr says.
In fact, open source systems follow different protocols. The starting point of GPL is open source / free use and reference / modification / derivation of code