For the second year in a row, American market research firm Gartner ranked artificial intelligence as the first strategic technology. Companies such as Google, IBM, Salesforce, and Apple are also increasingly acquiring privately-owned artificial intelligence companies. In 2016, there were 40 acquisitions related to artificial intelligence. Our research also found that 62% of large companies will use artificial intelligence before 2018. Since everyone is talking about broad artificial intelligence, we also focus our forecast this year on communication and artificial intelligence. Specific to 2017, our forecast focuses on how humans communicate with computers and other devices. How to communicate between artificial intelligence? How will we communicate about artificial intelligence between us? You are behind us again! 60% of big companies will use artificial intelligence in 2017. Prediction 1: Accelerating the transition to the conversation interface Many of the innovative tech giant's recent measures show that interactions between voice and technology will become the norm in the coming year. But is the dialogue interface really important? This is indeed a revolutionary technology. Since the birth of computers, we have been forced to use the language of computers to communicate with them, but we can now teach them to communicate through our language. 
Search engines like Google and Bing have made great progress and can accept voice search instructions. Facebook also launched Deep Text artificial intelligence technology, hoping to understand each user's dialogue form and interest. At the same time, the transition to the natural language interface has begun to erupt, and many companies have begun to vigorously develop chatbots and digital assistants, and chat applications are even more active than social networks. It is conceivable that after 2017, we may be free to use the everyday language to ask various kinds of information on personal devices, including: “How much money do I have?â€, “When was my last medical check-up?â€, “I was within 10 minutes’ driving time. What other restaurants have two seats empty?†Prediction 2: Advances in Design Patterns Will Strengthen Your Trust in AI If people do not believe in artificial intelligence, they will not use it. Next year, designers will apply human-to-human interaction knowledge to artificial intelligence systems. Specifically, it is how we win the trust and respect of each other. The communication elements such as intonation, emotion, timing, visual cues, and word selection will all be integrated with artificial intelligence technologies such as natural language processing to enhance the transparency of the system's operation. In this way, users can be trusted and rely on artificial intelligence systems. Stanford University recently conducted a study on the possible future effects of artificial intelligence for the next 100 years. They wrote in the report: “It can help humans understand artificial intelligence systems and their decisions (such as explicitly explaining these decisions) and participate in the use of Designing strategies can help build trust and avoid major mistakes. Engineers and designers must develop a system that allows them to freely communicate their working methods.†In other words, if my artificial intelligence home monitoring system is an appointmentless The visitor opens the door, and he best explains why. Prediction 3: We will begin to study the communication methods between AI systems In 2017, many companies will begin to develop common standards for artificial intelligence or artificial intelligence interaction. Without standards, artificial intelligence technology will become isolated islands. Worse, when multiple sets of AI systems work together toward a goal, they may even affect each other. Just think, what happens when a driverless car tries to avoid collisions but cannot communicate with other driverless cars? Or, a company with multiple sets of artificial intelligence systems uses a predictive analysis system to determine the level of production, but there is another set of artificial intelligence systems using different data sources that should change the production needs, what will happen? In 2017, technology giants, industry organizations and government agencies will communicate with each other to establish a unified artificial intelligence standard. Prediction 4: Artificial intelligence will be impacted by internal prejudices In 2016, there are many examples that reflect the inherent bias of artificial intelligence systems. Some prejudices originate from the data used in the training system, while others derive from the interaction of the user with the system. They also include similarity biases and prejudice against conflicting goals. Most prejudices have not received attention at present, but with the increase in the use of artificial intelligence, it will have an increasingly greater impact on people's lives. By then, it is necessary to recognize and resolve the system's inherent prejudices. Otherwise, the future development of artificial intelligence will face obstacles. Prediction 5: Companies are beginning to focus on the return on investment of artificial intelligence Businesses are beginning to focus on the true value and return on investment of artificial intelligence technology. Although AI-related companies are getting more and more financing – the total amount of AI investment has increased ten-fold in the past five years, from $94 million in 2011 to $1.049 billion in 2016 – but not There are not many commercial cases. Most of these technologies are pilot projects of innovative teams or R&D departments. 2017 will be a turning point, many companies will begin to question their investment in artificial intelligence, and artificial intelligence must also grow. Two years ago there were people discussing artificial intelligence and robots that would kill us. This is truly amazing. Many technologists also believe that artificial intelligence will bring disaster to the world, but some of them are now setting up organizations to try to push forward the breakthrough of artificial intelligence technology. Artificial intelligence technology has achieved breakthroughs in a short period of time. We are now beginning to realize that actively embracing artificial intelligence technology can indeed bring many benefits and there is no need to worry too much.
Search engines like Google and Bing have made great progress and can accept voice search instructions. Facebook also launched Deep Text artificial intelligence technology, hoping to understand each user's dialogue form and interest. At the same time, the transition to the natural language interface has begun to erupt, and many companies have begun to vigorously develop chatbots and digital assistants, and chat applications are even more active than social networks. It is conceivable that after 2017, we may be free to use the everyday language to ask various kinds of information on personal devices, including: “How much money do I have?â€, “When was my last medical check-up?â€, “I was within 10 minutes’ driving time. What other restaurants have two seats empty?†Prediction 2: Advances in Design Patterns Will Strengthen Your Trust in AI If people do not believe in artificial intelligence, they will not use it. Next year, designers will apply human-to-human interaction knowledge to artificial intelligence systems. Specifically, it is how we win the trust and respect of each other. The communication elements such as intonation, emotion, timing, visual cues, and word selection will all be integrated with artificial intelligence technologies such as natural language processing to enhance the transparency of the system's operation. In this way, users can be trusted and rely on artificial intelligence systems. Stanford University recently conducted a study on the possible future effects of artificial intelligence for the next 100 years. They wrote in the report: “It can help humans understand artificial intelligence systems and their decisions (such as explicitly explaining these decisions) and participate in the use of Designing strategies can help build trust and avoid major mistakes. Engineers and designers must develop a system that allows them to freely communicate their working methods.†In other words, if my artificial intelligence home monitoring system is an appointmentless The visitor opens the door, and he best explains why. Prediction 3: We will begin to study the communication methods between AI systems In 2017, many companies will begin to develop common standards for artificial intelligence or artificial intelligence interaction. Without standards, artificial intelligence technology will become isolated islands. Worse, when multiple sets of AI systems work together toward a goal, they may even affect each other. Just think, what happens when a driverless car tries to avoid collisions but cannot communicate with other driverless cars? Or, a company with multiple sets of artificial intelligence systems uses a predictive analysis system to determine the level of production, but there is another set of artificial intelligence systems using different data sources that should change the production needs, what will happen? In 2017, technology giants, industry organizations and government agencies will communicate with each other to establish a unified artificial intelligence standard. Prediction 4: Artificial intelligence will be impacted by internal prejudices In 2016, there are many examples that reflect the inherent bias of artificial intelligence systems. Some prejudices originate from the data used in the training system, while others derive from the interaction of the user with the system. They also include similarity biases and prejudice against conflicting goals. Most prejudices have not received attention at present, but with the increase in the use of artificial intelligence, it will have an increasingly greater impact on people's lives. By then, it is necessary to recognize and resolve the system's inherent prejudices. Otherwise, the future development of artificial intelligence will face obstacles. Prediction 5: Companies are beginning to focus on the return on investment of artificial intelligence Businesses are beginning to focus on the true value and return on investment of artificial intelligence technology. Although AI-related companies are getting more and more financing – the total amount of AI investment has increased ten-fold in the past five years, from $94 million in 2011 to $1.049 billion in 2016 – but not There are not many commercial cases. Most of these technologies are pilot projects of innovative teams or R&D departments. 2017 will be a turning point, many companies will begin to question their investment in artificial intelligence, and artificial intelligence must also grow. Two years ago there were people discussing artificial intelligence and robots that would kill us. This is truly amazing. Many technologists also believe that artificial intelligence will bring disaster to the world, but some of them are now setting up organizations to try to push forward the breakthrough of artificial intelligence technology. Artificial intelligence technology has achieved breakthroughs in a short period of time. We are now beginning to realize that actively embracing artificial intelligence technology can indeed bring many benefits and there is no need to worry too much.
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