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Artificial intelligence era, India can follow the footsteps of the United States?
Artificial intelligence era, India can follow the footsteps of the United States?
The new version of the film "blade runner 2049" because of its portrayal of the future dystopian science fiction fans to have a huge attraction. At that time, the machine can be self reset, they will fall in love with intelligent virtual life. The film presents a darker future, and artificial intelligence (AI) can even breed life.
Oracle Corp chairman Larry Allison said, in machine learning and artificial intelligence (ML) era, the employment pattern will re shuffle, thanks to the recent Oracle Open World Congress released the latest automatic driving cloud database. He said: "the IT resources for open sharing to focus on machine learning, rather than just repair security attacks in the database and downtime." So, although the 2049 "Blade Runner" designed the future is far away. But borrowing Neil Armstrong's phrase "take a small step, it's going to be a big step for mankind.". Because it's not difficult to see that today's software can predict and guide people to make wise decisions. The new Oracle database no longer need to build engineer designed UAV to run the patch, it will continue to learn about the nature of the data, the query pattern and automation system on potential factors and aggressive behavior. In addition to Oracle, last year, Panoply, a data warehouse cloud platform, has also developed an independent platform.
Recently, in an open letter to Larry and Allison, Panoply CEO Yaniv Leven said oracle was not the first company to deploy automated machine learning on cloud computing. In a letter to the media, Yevin wrote, "yes, the automated machine learning database is amazing, but it's not the only one, nor is it the first one. So far, Panoply has more than 100 clients in North America and Europe, who have been working on data processing based on a completely independent data warehouse, which has actually been going on for more than a year.
We can't equate this expression with "Panoply and oracle" or "David and Goliath". In 2010 and 2011, related business reports on cloud computing have been mentioned, and then big data began to dominate, and since then announced that the business model is undergoing the biggest independent change.
It is worth noting that the management of Infosys has changed over the last few years, and until this year, Nandan Nilekani, one of its founders, returned to the right track. We can't look at this development in isolation, because if the IT service giant in India wants to survive, it must fundamentally change the existing business model. Vishal Sikka is the former CEO of Infosys, and he's right. "Providing services doesn't make you really make money. What's really in store is machine learning and artificial intelligence software."".
So, despite the fact that India's IT companies are trying to portray the future of their plans to shareholders, what India companies must be aware of in the San Francisco Bay area is that there is more to come. There is no doubt that the IT industry has been commercialized, and they need a platform to lead enterprises into the digital era, that is, the use of machine learning, deep learning and artificial intelligence for data analysis service processing.
San Francisco bay water test case
Into the Menlo Park Building No. 20, you will see the Facebook build around the artificial intelligence in the field of the whole team. They draw a flow chart throughout the entire artificial intelligence section to show how the technology stack responds to customer queries, and is building small features such as face recognition on the platform. However, the work done by the Facebook more than that. The 950 thousand square foot office building built by Facebook is built on the basis of personalized expression, which virtually reflects the idea of independent thinking advocated by the enterprise.
From this point, drove to the Palo Alto or fashion Island Boulevard takes about 20 minutes, such as ScoreData and Reflektion in there, they use machine learning and artificial intelligence to solve problems for customers.
Mathematician and computer scientist Moidin Mohiuddin is also the co-founder of ScoreData. He told reporters that the machine has been trained to understand the model has become an absolute fact. For example, ScoreData has established a data model to help organizations and their agents better serve their customers. "This is a simple use case. The hardest part is to get the software to follow up and understand the customer's behavior and answer questions based on their trading history, "he said.
So, what is the machine learning and deep learning and artificial intelligence?
Machine learning refers to assigning tasks to machines, while deep learning can understand patterns and understand how information is constantly updated, while artificial intelligence allows algorithms to be constantly modified and changed. Amar Chokhawala, founder of Reflektion, said, "it's like a child who knows the unknown now and takes preventive measures." Amar companies use machine learning to predict the user's intention to enter the site, thereby suggesting closing the transaction or further interacting with the customer.
Look at India peers, "software as a service" has become a major trend, and today's chat robot is part of this service. But every time there must be patches, because these are rules based engines, so human intervention is very high.
Naganand Doraswamy, founder of IdeaSpring capital, said: "India startups should remember to solve problems for global enterprises, technology must be used for customers, and must benefit."".
On the other hand
Oracle Corp chairman Larry Allison said, in machine learning and artificial intelligence (ML) era, the employment pattern will re shuffle, thanks to the recent Oracle Open World Congress released the latest automatic driving cloud database. He said: "the IT resources for open sharing to focus on machine learning, rather than just repair security attacks in the database and downtime." So, although the 2049 "Blade Runner" designed the future is far away. But borrowing Neil Armstrong's phrase "take a small step, it's going to be a big step for mankind.". Because it's not difficult to see that today's software can predict and guide people to make wise decisions. The new Oracle database no longer need to build engineer designed UAV to run the patch, it will continue to learn about the nature of the data, the query pattern and automation system on potential factors and aggressive behavior. In addition to Oracle, last year, Panoply, a data warehouse cloud platform, has also developed an independent platform.
Recently, in an open letter to Larry and Allison, Panoply CEO Yaniv Leven said oracle was not the first company to deploy automated machine learning on cloud computing. In a letter to the media, Yevin wrote, "yes, the automated machine learning database is amazing, but it's not the only one, nor is it the first one. So far, Panoply has more than 100 clients in North America and Europe, who have been working on data processing based on a completely independent data warehouse, which has actually been going on for more than a year.
We can't equate this expression with "Panoply and oracle" or "David and Goliath". In 2010 and 2011, related business reports on cloud computing have been mentioned, and then big data began to dominate, and since then announced that the business model is undergoing the biggest independent change.
It is worth noting that the management of Infosys has changed over the last few years, and until this year, Nandan Nilekani, one of its founders, returned to the right track. We can't look at this development in isolation, because if the IT service giant in India wants to survive, it must fundamentally change the existing business model. Vishal Sikka is the former CEO of Infosys, and he's right. "Providing services doesn't make you really make money. What's really in store is machine learning and artificial intelligence software."".
So, despite the fact that India's IT companies are trying to portray the future of their plans to shareholders, what India companies must be aware of in the San Francisco Bay area is that there is more to come. There is no doubt that the IT industry has been commercialized, and they need a platform to lead enterprises into the digital era, that is, the use of machine learning, deep learning and artificial intelligence for data analysis service processing.
San Francisco bay water test case
Into the Menlo Park Building No. 20, you will see the Facebook build around the artificial intelligence in the field of the whole team. They draw a flow chart throughout the entire artificial intelligence section to show how the technology stack responds to customer queries, and is building small features such as face recognition on the platform. However, the work done by the Facebook more than that. The 950 thousand square foot office building built by Facebook is built on the basis of personalized expression, which virtually reflects the idea of independent thinking advocated by the enterprise.
From this point, drove to the Palo Alto or fashion Island Boulevard takes about 20 minutes, such as ScoreData and Reflektion in there, they use machine learning and artificial intelligence to solve problems for customers.
Mathematician and computer scientist Moidin Mohiuddin is also the co-founder of ScoreData. He told reporters that the machine has been trained to understand the model has become an absolute fact. For example, ScoreData has established a data model to help organizations and their agents better serve their customers. "This is a simple use case. The hardest part is to get the software to follow up and understand the customer's behavior and answer questions based on their trading history, "he said.
So, what is the machine learning and deep learning and artificial intelligence?
Machine learning refers to assigning tasks to machines, while deep learning can understand patterns and understand how information is constantly updated, while artificial intelligence allows algorithms to be constantly modified and changed. Amar Chokhawala, founder of Reflektion, said, "it's like a child who knows the unknown now and takes preventive measures." Amar companies use machine learning to predict the user's intention to enter the site, thereby suggesting closing the transaction or further interacting with the customer.
Look at India peers, "software as a service" has become a major trend, and today's chat robot is part of this service. But every time there must be patches, because these are rules based engines, so human intervention is very high.
Naganand Doraswamy, founder of IdeaSpring capital, said: "India startups should remember to solve problems for global enterprises, technology must be used for customers, and must benefit."".
On the other hand