In 2016, artificial intelligence has produced a dramatic leap in some areas. Robots and automated devices have gained unprecedented popularity. In just a few years, we have upgraded from the Roomba automatic Vacuum Cleaner to a smart car.
At such a growth rate, it is both easy and difficult to predict the future of AI and robots. It's easy to say because you can see what is coming to us; it's hard to say because change is happening at an alarming rate, even beyond our understanding. For this reason, we asked a group of AI experts, AI and robots will be developing trends this year and beyond.
Helping human work instead of replacing
One of the main fears of human intelligence and robotics today is that it will take away human work. Given the impact of automation on manufacturing, this is not an irrational fear. But experts still believe that AI will help workers, not replace them.
"In the next decade, the main contribution of artificial intelligence will be to automate complex and repetitive tasks, helping us to discover new insights in the data," said Matt Jones, data scientist at data analysis and consulting firm Tessella. “It may sound more exciting than robot killers. Digging deeper into them means that it will really change the world. Some exciting things are happening in the healthcare field, like IBM's Watson has proven that he can diagnose diseases more than many doctors. More accurately, it will not only affect global human health, but will also change the economic situation of the health service that is already overwhelmed."
This also helps to optimize the energy grid. “In 2017, we can see that AI solves more complex problems,†said Ganesh Bell, chief digital officer of General Dynamics. “Whether it’s through wind turbine data, find a way to automatically increase the output of renewable energy, or to use it in remote locations. The regional power infrastructure drone inspection pilot, the further application of AI may help the energy industry to develop on a global scale."
Michael Schmidt is the chief technology officer and founder of Nutonian, a big data analytics company that helps companies and researchers understand, understand, and predict data and provide reference support. As a developer of predictive analytics software, he believes that new AI applications will affect every business user in the future. “Artificial intelligence and data modeling will no longer be just tools for data scientists and management, but will also affect operators and decision makers at every level. Companies will be able to optimize detailed business operations with unprecedented precision and impact. "He said.
Speed ​​will no longer matter
Many of the people we interviewed believe that the speed requirements of enterprise development will decrease in the future, and the demand for precision will increase.
"The future of enterprise infrastructure is not about speed and resource provision, but intelligence and self-management capabilities," said Rod Bagg, vice president of storage solutions provider Nimble Storage. "And, in 2017, this difference will help those Storage companies have survived.†He believes that predictive analytics and artificial intelligence will enable companies to dramatically reduce downtime and ensure optimal application performance.
“In 2017, smart capabilities will exceed speed as a technical measure. Over the past few decades, we have been racing at the same speed, with the intention of building the world’s fastest supercomputer. The next generation of supercomputers is not the peak. Computing power, but artificial intelligence capabilities. AI is a new tool for supercomputers," said Ian Buck, vice president of INVIDIA.
AI creates AI
Attempts at AI to engage in creative work have begun, such as in the arts and music. But TUNE researcher John Koetsier believes that AI will continue to try to create "AI", although not necessarily successful.
“In 2017, we will see more and more artificial intelligence to design 'artificial intelligence'. They will make mistakes and take a lot of detours, but they may also have some amazing success. Google has already begun to work in this direction. And some of the artificial intelligence researchers I've talked about are turning more to this method of making intelligent iterations faster and faster. The result is that intelligence will transcend ourselves, not just in a small field like chess or Go. Instead, it spans more categories and, ultimately, reaches a strong AI," he said.
“A decade ago, engineers used JavaScript to do repetitive tasks. But the final solution was not that we needed more JavaScript engineers, but a framework that automates repetitive tasks and makes JavaScript easier to develop. The same Things are happening on mobile apps. There are thousands of tools today that make application developers easier. The same thing happens with AI: a software-related industry will grow to support AI. "Nexla CEO Saket Saurabh said.
AI humanization
Artificial intelligence will go beyond “tools†and gradually become the “co-workers†role in your work. Most AI software is hidden technology, so that we don't feel that they will change the daily work of ordinary American workers. They only exist in the back end that has little contact with humans. But some AI companies provide advanced AI with automated, intelligent interfaces that dramatically change the daily workflow of workers, such as AI marketing company Cortex. In 2017, companies that combine AI and automation will increasingly be dependent on the role of our “colleaguesâ€.
“AI will be the way to solve the labor crisis, not create it.†Abdul Razack said he is senior vice president of Infosys, an Indian consulting and outsourcing services company. “When the baby boomers retire, many important ideas and knowledge will soon be lost from the enterprise. As the number of practitioners is lost and reduced, the labor force will be tagged with high prices, and enterprises will turn to knowledge management and machine learning to train AI. Grab a variety of knowledge and representative actions. In the coming year or more, we will see that companies adopt AI not only from technical needs, but also from the need to learn the knowledge of current corporate employees."
AI will become more friendly and ease people's fear of it. Anton Popov, senior researcher at Ciklum's R&D engineering team, said: "On a global scale, hundreds of talented R&D teams are working on artificial intelligence and machine learning algorithms. As a result, more and more friendly, intelligent machines will be Created, their purpose will be to make humans healthier and more happy. One of the main AI trends in 2017 and beyond will be human condition detection-prediction and prevention based on artificial intelligence analysis of vital signs."
Gary Saarenvirta, CEO of artificial intelligence software company Daisy Intelligence, believes that in the next few years, you will see more companies consolidating AI for business processes and core business decisions. These technological revolution leader companies will leave behind competitors who refuse to invest in artificial intelligence technology.
“On the retail side, you will see AI drive marketing and commodity pricing, which will lower the price of the goods, those retailers who refuse to adjust the price will be under great pressure. We expect the retail industry to face Significant disruption, companies that have adopted AI technology in the early stage will gain strategic advantage and expand market share," he said.
Force vertical market
Mark Hammond is the co-founder and CEO of Bonsai, an AI application developer platform, and one of those who believe that artificial intelligence will move to a specific vertical market. “A significant advancement in 2017 is that artificial intelligence robot systems will be deployed throughout the industrial vertical industry, including manufacturing, mining and utilities. For this trend, I hope we can see the simulation training intelligence system. Appeared as a viable option."
Arria NLG co-founder and artificial intelligence expert Matt Gould said that AI will also bring subversion to the financial sector. Arria NLG's natural language generation engine is capable of absorbing and analyzing large data sets and writing reports in vernacular. “Financial services contain a lot of numbers and data, and are very likely to be annihilated by massive amounts of valid data. The financial tools we use today can only pass data through charts or pictures. New automation platforms, such as natural language generation, help "Using human language to dig out the true meaning of these data and present it in a report generated in human language," he said.
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