According to reports from Datamation, artificial intelligence achieved a dramatic leap in 2016, and robots and automated equipment have also gained unprecedented popularity. In just a few years we completed the leap from the Roomba automatic vacuum cleaner to the self-driving car. Facing this rapid development rate, trying to predict the future of AI and robots has become simple and difficult. It's simple because you can see things in the future; the difficulty is because new technologies are driving changes in the industry at an alarming rate. We visited some AI experts on this issue and listened to their views on the development of AI and robots. Helping us work One of the most important fears of artificial intelligence and robotics is the fear that they will steal human work. Given the loss of automation to manufacturing, this fear is not entirely speculative. But experts believe that AI will enhance rather than replace workers. "Over the next decade, AI's main task will be to automate complex and repetitive tasks and help discover new insights from the data," said Matt Jones, a data scientist at analyst firm Tessella. . "This may not sound as exciting as a killer robot, but it is also enough to change the world. The most exciting thing is happening in healthcare. IBM's Watson has shown that it can diagnose diseases more accurately than many doctors - - This will have a huge impact on the health of people around the world and the current overwhelmed healthcare economy." Technology also helps optimize the electricity utility grid. "In 2017, we can expect to see AI solve more complex problems," said Ganesh Bell, GE Power's chief digital officer. “Whether it is using wind turbine data to increase renewable energy output, or using autonomous drones to monitor the power infrastructure in remote areas, further applications of AI are likely to improve the energy industry globally.” Michael Schwartz Michael Schmidt is the founder and chief technology officer of the data analysis service company Nutonian, and also a developer of predictive analytics software. Schmidt saw the new model of applying AI to every business user in the organization. “Artificial intelligence and data modeling are no longer just data scientists and business leaders, expanding to operations and decision makers at all levels. The company will be able to optimize business operations with unprecedented sophistication and influence,” he said. The pace of letting intelligence lie at the heart of several respondents believe that due to the increased demand for precision, people's demand for speed will decrease. “The future of enterprise infrastructure is not speed and feed, but intelligence and self-management. In 2017, this differentiation will determine the success of data storage companies.” Rod Barg, Vice President, Analysis and Customer Support, Nimble Storage (Rod) Bagg) predicted this. He added that predictive analytics and artificial intelligence have enabled companies to significantly reduce downtime and ensure optimal application performance. Changing from a firefighter model to a more proactive IT strategy. “This trend will be obvious this year. Those companies that have kept the 'speed and feed' model will fall behind,” he said. "In 2017, intelligence will replace speed. Over the past few decades, we have always competed in speed, trying to build the world's fastest supercomputer. Computer advancement will no longer be measured by speed but its artificial intelligence capabilities. AI is New tools for supercomputing,” said Ian Buck, vice president of accelerated computing at NVIDIA. AI Build AI There are already attempts to introduce AI into creative work, such as artwork and composition. TUNE analyst John Koetsier believes that AI will attempt to create other AIs but will not succeed. "In 2017, we will see more and more artificial intelligence in artificial intelligence design. There will be many mistakes, a lot of dead ends, and of course there will be some amazing successes. Google has already tried, the more researchers I have contacted. The more it supports the faster and faster iteration of artificial intelligence in this way, the result is that AI will inevitably surpass the level of human intelligence, not only on chess or on chess, but on more and more. On the range, it will eventually produce a completely strong AI," he said. “This scenario has been seen in the past. Ten years ago, engineers used Javascript to do repetitive tasks. The solution is not more Javascript engineers, but a framework for automating repetitive tasks, making Javascript easier to develop. Mobile APP The same story was also presented. Thousands of tools are available today to help developers work more easily. This will also happen with AI: An industry made up of software companies will grow to support AI." Saket Saurabh, CEO of Nexla, a provider of data operations automation tools, said. Humanized AI AI will surpass "tools" and play the role of "colleagues." Most AIs are too technically subtle to bring changes to the everyday experience of ordinary American workers. They only exist in the back end that humans rarely touch. However, several AI companies have combined advanced AI with smart interfaces to completely change the daily workflow of workers. Cortex, the marketing AI company, is one of them. Not just your dashboard, in 2017, companies that combine AI and automation will increasingly shift to the role of peer-like partners. "AI will solve rather than create a labor crisis," said Abdul Razack, senior vice president and platform director at IT consulting firm Infosys. As the baby boomers retire, companies lose their labor and ideological vitality. “The reduction in workers brings with it cost increases, companies are turning to knowledge management and machine learning, and artificial intelligence is being added to supplement labor. In the coming year and beyond, we will see that AI is not only due to the need for technology, but also to Capture the needs of current employee insights and expertise.” AI will also become more friendly to ease human fear of it. Anton Popov, senior researcher at Ciklum's R&D engineering team, said: “There are hundreds of talented R&D teams in the world working on AI and machine learning. More and more friendly and clever machines will be built to realize humans. The happiness and well-being of society. One of the main AI trends for 2017 and beyond will be the monitoring of the human body - forecasting and prevention based on artificial intelligence and comprehensive vital sign analysis." Finally, Gary Saarenvirta, chief executive of Daisy Intelligence, believes that in the coming years In this, you will see more business operations and decisions to integrate AI into its core operations. Companies that lead the technological revolution will surpass those who do not invest in artificial intelligence. “In the retail industry, you will see AI-driven marketing and marketing programs that reduce the price of goods, and those retailers that cannot follow prices in a timely manner. We expect destructive innovation in the retail industry. Companies that used AI technology early will Gain a strategic advantage to increase market share,” he said. Emphasis on Vertical Markets Mark Hammond is the co-founder and CEO of Bonsai, an AI application development platform, and one of the few who believe AI will turn to a specific vertical market. “In 2017, the deployment of AI robotic systems will make significant progress in many industries including manufacturing, mining and utilities. In response to this trend, I expect we will see the emergence of simulations as training for these intelligent systems. More and more viable options.” Matt Gould, an AI expert and co-founder of Arria NLG, said that the impact of AI will also affect the financial community. "Financial services running on numbers and data are most likely to be overwhelmed by the sheer volume of data. The financial tools we use today can only express data in the form of charts or snapshots. New automated platforms such as natural language processing are helping Convert data into understandable insights into the human language and be able to present research findings as if they were real people.”
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