“I really don’t like the idea of artificial intelligence. It’s more accurate now to talk about the automation of decisions, how we collect data, use that data for analysis, and allow machines to make as many parts of the decisions as possible.” He wrote down the technical terms on the whiteboard and indicated which layers they belonged to, such as IaaS, PaaS and SaaS, while explaining to YICai the strengths of companies such as Amazon, Microsoft and IBM.
Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include information robot, editing robot, writing robot and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.
AmrAwadallah is a co-founder of Cloudera and the CTO of the machine learning and data analytics platform provider, which went PUBLIC in the U.S. this year. In July 2000, Amr’s first startup, VivaSmartisan, was acquired by Yahoo, where he served as vice president of intelligent products engineering. In 2008, he founded Cloudera.
“Our goal is to use analytics correctly to solve problems that aren’t solved today.” Amr is positioning itself this way in terms of what it wants to do in ai.
Break the seal with open source
Amr built an open source architecture that started with Hadoop and evolved into 25 other analytics solutions to form a shared data experience platform.
Building open source systems to provide shared data experiences is what Amr sees as a step towards automating decision making. “Customers are not technology companies, they are using technology to solve their business problems, except for companies like BAT, which don’t even have the motivation or ability to program software. They should be thinking about how they can use this platform to become a better bank, a better hospital, a better telecom company.” Amr said.
From Amr’s perspective, Cloudera competes with Microsoft and Amazon. On the one hand, Microsoft and Amazon provide the lowest level infrastructure, namely IaaS, and on the other hand, on the PaaS platform, customers have requirements for SQL, machine learning, search, and batch processing. That’s where Cloudera is going head-to-head with the giants. “Amazon operates independently with different teams for different needs, but Cloudera wants to bring these services together so that users can manage and monitor them on a single platform, while meeting government and audit needs.” Amr said.
J.p. Morgan has used Cloudera to develop software to review its legal documents and contracts. Lawyers pay high fees, and machine learning allows machines to review most documents, with only very specific terms done by lawyers. Amr says a 10-minute machine audit could save 14,000 hours of human work.
Today, the company, once backed by Intel, has a market value of $2 billion.
Amr prefers to see IBM’s Watson as a direct competitor. “Watson is a black box, you give them data, you don’t know how they train. Data is power. Watson will provide you with a system that looks like a doctor, but if you lose the added value of your own value as a customer, such as hospitals and manufacturing, you will lose control. You’re not going to be locked away by us, and when it comes to machine learning, some of what we do is visible to you. How to serve people, and our open source process is completely visible to the customer, they still retain the intellectual property, otherwise it’s a disservice to the customer, because they don’t have the intellectual property anymore, we’re not competing with them.” He said.
In terms of the new model, if we try open source and let enterprise customers see the whole process of machine learning, how can we ensure the core competitiveness of this enterprise?
To keep its business model unique, Cloudera will add other proprietary core business modules, such as modules for governance, distribution, security, encryption, auditing and data backup, that are not open source.
So why hasn’t such software taken off? “Law firms themselves may not have the incentive to do something like this because it would hurt their interests, but our clients need this service.” Cloudera’s top three industry customers are finance, telecom and government, which use them to research cybersecurity securities and anti-money laundering issues.
That’s where the opportunity lies, and why even as powerful tech giants infiltrate and revolutionize industries, new companies are emerging to challenge them in artificial intelligence.
Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.
No one would dispute that attention is one of the scarcest, most valuable and most rationally utilized resources in this age of information fragmentation. Relying on the independently developed Giiso engine, the Zhisou team created the first intelligent media platform Tianzexun APP, which can intelligently answer users’ various relevant information according to various commands or text interaction commands. And can be based on the user’s personalized use characteristics and continuous learning, continuous tracking of users interested in the unique content. At present, the day smart news APP6.0 version has been updated iteration, can be used to download the application market.
Above, Chen Ruchu’s humble opinion! I’m sorry if I offended you.
For more information about ai robots, please visit Giiso Zhisou: http://www.giiso.com/. Thank you