The end of the year is the season when various public relations activities predict the blowout. No one knows what will happen tomorrow, let alone 12 months, but the prediction boom can give us an interesting observation: which technology is the hottest.
ChatbotAmong the various predictions, the hottest technology trend in 2017 is artificial intelligence, and the hottest part is Chatbot. Stuart Frankel, CEO of NarraTIve Science, said: "The development of Chatbot will accelerate." He said: "Recently, some innovative technology giants have shown their enthusiasm for Chatbot development. By next year, people will interact with machines through dialogue. It will become the norm. (conversaTIonal interface) is a changer of the rules of the game. Since the invention of the computer, we have to use the language of the computer to interact with it, and now we are teaching computers to communicate in our language."
Frankel went on to say: "Google, Bing and other search engines have been able to search in spoken language, and Facebook has launched DeepText that understands user dialogue patterns and interests. At the same time, advances in natural language processing have led technology companies to develop chat bots and digital assistants. Etc., the number of monthly active users of these instant messaging applications even exceeds that of social networks. Imagine that in the future, we can ask our smart device for any information - 'How much is my account?', 'What was the last time I checked my body? When? ', 'Which restaurants can book two people within ten minutes?'..."
2. New user interfaceDemandbase's technology SVP Aman Naimat focuses on the providers of these new user interfaces. His prediction is: "Marketing will use AI to communicate with customers very personally." He added: "For marketing The most interesting and valuable application of AI is to have one-on-one, personalized conversations with buyers, knowing their pain points, goals and ambitions. Such personalized communication will eliminate the annoying spam. Now Such personalized conversations have been used between strategic account managers, but by 2017, artificial intelligence will make this type of conversation unnecessary to select a specific group of people. Conversely, 10 million visitors to each company's home page can have Personalized human-machine dialogue for specific needs. From dynamic ad copy to 1-to-1 e-mail, customized web browsing experience, AI will make large-scale hyper-personalizaton possible."
3. Deep learningIn recent years, the success of deep learning in tasks such as image recognition and machine translation has promoted investment in AI and the increase in experimental AI. Teradata's chief analyst, Bill Franks, predicted: "Deep learning will no longer be hype, but will become a reality." Franks said: "Recent deep learning is very hot. But unfortunately, many people have misunderstood understanding of deep learning. I believe that deep learning is magic and can cure all diseases. But the fact is that deep learning is only very powerful in certain areas, such as image recognition. Deep learning is not suitable for any task. In the coming year, a large number of enterprises Deep learning will be used, and then the market will recognize where it is really useful and what is not. A better understanding of the scope of deep learning can increase its focus on the right domain and accelerate its value. â€
4. Cross-industry applicationsThis value lies in the data. Artificial intelligence, especially deep learning, requires big data to demonstrate its value, and it is also a new source of data generation. Evereseen CEO Alan O'Herlihy's prediction is as follows: "AI will have an impact across industries, not just on mission." He said: "For example, in the retail industry, retailers fail to find unscanned goods every year. The damage is 30% of the total loss. AI can solve such problems in various industries, and as a result, the data it processes is usually the data it collects. These data become an additional benefit for companies using AI."
Pentaho CEO QuenTIn Gallivan's forecast is similar, he said: "Enterprises that apply AI and machine learning earlier in the analysis will have a huge first-mover advantage in the dataization of the business." He said: "To 2017, AI Early adopters will quickly expand into the market because they know that the sooner these systems begin to learn the environment in which they run, the better they can mine the data to get the more accurate predictions, and the more accurate recommendations for customers. The e-commerce is the same, as is the case for autopilot car manufacturers and airports trying to prevent terrorist attacks."
Ash Ashutosh, founder and CEO of AcTIfio, predicted: "Like the cloud has entered most companies, machine learning will enter almost all aspects of IT in 2017." He summed up the relationship between big data and AI, saying: "With We are going beyond the era of simply acquiring big data, and machine learning will usher in a new era of data understanding and analysis."
In response to the terrible predictions of Stephen Hawking and others about AI, Demandbase CMO Peter Isaacson believes: "AI may destroy the world, but before that, AI will really help the B2B market." He said: "AI will let B2B Marketers can mine more data from customers, partners, suppliers, etc. and understand the company's entire business network. This complete 360-degree view allows marketers to better identify potential customers and provide personalized activities. Increase the turnover rate and further expand the value of marketing in C-suite."
5. Data value is highlightedData is the key to AI success, which is why the quality of the data is very important.
Radius co-founder and CEO Darian Shirazi predicts: "By 2017, the quality of the underlying data will be a prerequisite for AI's predictive performance." Shirazi said: "We will see more companies focus on solving accurate and valuable solutions. The problem of data, the ability to make AI technology drive business change and business improvement is well-deserved."
6. AI SupervisorsTomer Naveh, CTO of Adgorithms, predicts that "AI Supervisors" will rise. He said: "By 2017, there will be occupations like 'AI Manager'. We are used to let machines work for humans in many labor-intensive industries, letting machines automate in our daily lives and work. Tasks, but this transition requires a learning process. The AI ​​system will be better able to interact with their operators, communicating their decisions and reasoning, and these operators will also need to respond to the AI ​​system with new rules, business logic and feedback. To make the system perform better over time. Therefore, people will perform tasks from themselves to manage AI and let AI software perform tasks instead of them."
In 2017 and beyond, there will be new types of work and organizational roles, as well as new players who will shake the US's technological dominance. Ash Ashutosh, founder and CEO of Actifio, believes: "American companies are not the only companies looking for undeveloped machines across the Pacific. It is foreseeable that Chinese technology companies will continue to grow explosively and will compete for market share in the US market. Low-cost, commercial versions of other technology products to accelerate their growth."
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