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[Netease smart news October 22 news] new version of the film "Silver Wings killer 2049" because of its anti-Utopian style of depiction of the future of science fiction fans have a huge appeal. By that time, machines can reset themselves and they will also fall in love with smart virtual life. This film presents a darker future. Artificial intelligence (AI) can even breed life.
Oracle CEO Larry Ellison once said that in the era of machine learning (ML) and artificial intelligence, the employment landscape will be reshuffled, thanks to the latest automatic driving cloud database recently released at Oracle Open World Conference. . He said: "IT resources are used for open sharing to focus on machine learning, not just to repair security attacks and downtime in the database." So although the future of "Silver Wings Killer 2049" envisions is far from the future. But it is no exaggeration to borrow Neil Armstrong's phrase “a small step that will soon become a big step for mankind.†Because we can easily see that today's software can predict and guide humans to make wise decisions. The new Oracle database no longer requires the drone that the engineer designed to run the patch. It will continue to learn about the nature of the data, the automation of the query model, and the underlying factors and attacks on the system. In addition to Oracle, Panoply, a data warehouse cloud platform, has also developed an independent platform last year.
Recently, in an open letter to Larry Ellison, Yanov Leven, CEO of Panoply, said that Oracle was not the first company to deploy automatic machine learning on the cloud. In a letter to the media, Yevin wrote: "Yes, the automatic machine learning database is truly amazing, but it is not the only one. It is not the first one. So far, Panoply has more than 100 customers in North America and Europe. They work on data processing based on a completely independent data warehouse (actually lasting more than a year).
We cannot equate this statement with the comparison between Panoply and Oracle or David and Goliath. In 2010 and 2011, related business reports mentioned cloud computing, after which big data began to gain the upper hand. Since then, it has been announced that the business model is undergoing the largest independent change.
It is worth noting that Infosys management also experienced changes in the past few years. Until this year, the return of one of the founders, Nandan Nilekani, made the company on the right track. We cannot view this development in isolation, because if Indian IT service giants want to survive, they must fundamentally change the existing business model. Vishal Sikka is the former chief executive of Infosys. He said rightly, "Providing services does not allow you to really make money. It is machine learning and artificial intelligence software that really holds business opportunities."
Therefore, although Indian IT companies are trying to describe to shareholders their planned new life in the future, in the San Francisco Bay Area, Indian companies must realize that there is more to happen. There is no doubt that the IT industry has been commoditized, and they need a platform to lead companies into the digital age, that is, using machine learning, deep learning and artificial intelligence to analyze data processing services.
San Francisco Bay Area Water Testing Case
Entering the Menlo Park Building 20, you will see Facebook's entire team built around the field of artificial intelligence. They created flow charts throughout the AI ​​section to demonstrate how the technology stack should respond to customer inquiries and build small features such as facial recognition on the platform. However, Facebook's work is more than that. The 950,000-square-foot office building built by Facebook was built on the basis of personalized expression. It virtually reflected the independent thinking algorithm advocated by the company.
From there, it takes about 20 minutes to drive to Palo Alto or the trendy Island Boulevard. There are organizations like ScoreData and Reflektion who use machine learning and artificial intelligence to solve problems for customers.
Maidin Mohiuddin, a mathematician and computer scientist, is also a co-founder of ScoreData. He told reporters that today's machine training to understand the model has become absolutely true. For example, ScoreData built a data model to help organizations and their agents better serve their customers. "This is a simple use case. The hardest part is having the software follow up and understand customer behavior and answer questions based on their transaction history," he said.
So, what is machine learning, deep learning, and artificial intelligence?
Machine learning refers to assigning tasks to machines, while deep learning can understand patterns and understand how information is continuously updated. At the same time, artificial intelligence allows algorithms to be constantly revised and changed. Amar Chokhawala, the founder of Reflektion, said: “It is as if a child is now aware of the unknown and is in danger.†Amar’s company uses machine learning to predict the user’s intent to access the site, suggesting closing the deal or further interacting with the customer. .
Looking at the Indian counterparts again, "software as a service" has become a major trend, and today's chat bots are part of this service. But every time there must be patches, because these are all rule-based engines, so human intervention is high.
Ideagan Capital founder Naganand Doraswamy said: "Indian startups should keep in mind that solving problems for global companies, technology must be used by customers, and must have benefits."
On the other hand, India's software ecosystem is the maintainer and server of accounts. With self-management platforms such as ScoreData and Reflektion, manual maintenance becomes redundant, and talent is drawn to the field of technology development. Will this become a problem? Oracle CEO Mark Hurd said that this will not be a problem. He added: "Cloud computing can reduce resource consumption, allowing companies to increase efficiency."
Do Indian IT companies have to reshape themselves?
Indian IT companies do continue to innovate. However, today's cloud technology and platform revenue still account for less than 10% of the total revenue of IT companies. Ravi KumarS, deputy chief operating officer and director of Infosys, said: “We will continue to invest heavily in artificial intelligence, using its simplification efforts and rethinking the business future.†This year, Infosys announced the launch of their artificial intelligence platform - Infosys Nia, new A generation of artificial intelligence platforms combined with big data analytics, machine learning, knowledge management, and cognitive automation capabilities. The NIA AI Platform continues to play a dual role in the future of IT services—automating day-to-day operations and maintaining part of Infosys’s portfolio to use business knowledge, data, and insights to solve customers’ most complex business challenges and promote business value. Promote.
The industry clearly has a tendency to shift to cloud technology. Gartner has predicted that India's cloud service ecosystem will undergo major changes. Sid Nag, research director at Gartner, said: "The global public cloud market is gradually entering a stable period. The growth rate in 2017 will reach a peak of 18%, and will gradually slow down in the next few years."
Some agencies are still studying the specific location of cloud computing technology in their overall IT strategy to achieve cost optimization and move towards transformation. Gartner predicts that by 2020, cloud computing adoption strategy will affect more than half of IT outsourcing transactions. The largest market will be the SaaS market. By 2020, the market will double in size to 75 billion U.S. dollars. As a result, artificial intelligence and machine learning will bring maximum benefits with the construction of platforms and infrastructure.
What should Indian companies do?
Manoj Karanth, Associate Vice President of Electronic Mindtree Co., Ltd., said: “Customers are reluctant to wait more than three months on business insights that are not conducive to the progress of the project, regardless of the size of the business.†He added that Mindtree will advise companies to adopt use cases. The leading method is to sort out the data needed to solve the business kpi and scene, and to gradually improve the data. He said: "When this happens, always use a platform-based perspective and build similar use cases to gradually strengthen."
Manoj also added that, according to Mindtree, a common best practice for startups with limited budgets is to choose cloud-based services as the optimal core platform and focus on the architecture that separates storage from computing. Get an optimized operating expenditure system with testing and learning capabilities.
However, it is undeniable that Indian IT stocks have been hit hard due to lack of innovation. On October 13 this year, Infosys' share price dropped from Rs 1038 per share a year ago to Rs 929 per share. Even Wipro fell from 441 rupees a year ago to 291.70 rupees per share.
This shows that the value orientation of the entire industry is changing. It is time for Indian startups and companies to innovate globally. Unfortunately, Indian companies have very few paying customers. Amar of Reflektion said: "No wonder the entrepreneurial ecosystem in the United States is booming because most of the small and large companies are willing to use technology."
India follows the general trend of the United States. However, due to its huge engineering talent base, it no longer needs to do so. India can start developing software for its own problems. They must go beyond two obstacles: get business from Indian companies and eventually get paid for the services they pay. Vasudev Bhandarkar, founder of ScoreData, said: “This is where Indian ecosystems can learn from the United States. For any startup, when they get results at the experimental stage, gaining the benefits of the services they pay is the key to success. â€
Perhaps it was time to be independent of Western development and to focus on machine learning and artificial intelligence from the perspective of India. They are drawing a blueprint for the future of the company without artificial control of the IT industry.
(From: Yourstory by Vishal Krishna Translation: NetEase See Compiler Robot Review: Sarah)
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