With the spread of the Internet and the always-on environment, the evolution of infrastructure, computers, the emergence of smart devices, and the improvement of IoT-related technologies, "digital" has become an inseparable part of our lives. Many of us have multiple digital devices, such as PCs, smartphones, tablets, wearable devices, devices equipped with sensors, and spend our daily lives using them properly. The data generated from these devices, such as log data, GPS data, text, voice, video data, customer data, service usage, transaction data, history data, sensor data, etc., is enormous and we handle it on a daily basis. It becomes "big data" of the volume of petabyte and exercise class without.
There is no point in simply accumulating this big data, and various companies are moving to utilize it in their businesses. However, the amount of data is so huge that it is impossible to do something with human resources, and there is an increasing need to respond appropriately to diversifying customers in order to grow the business. As a result, attention is focused on mechanical processing. "Artificial intelligence" "Machine learning" "Deep learning" Not only have these keywords been heard in various situations in recent years, but companies that are actually using them in business have begun to appear.
Utilization of Artificial Intelligence in Business
Isn't it the case in the medical field that made the world aware of the potential of artificial intelligence? It has become possible to identify malignant tumors of cancer using algorithms based on deep learning technology for all image data such as CT scans, MRIs, micrographs, and X-rays. The financial industry is actively using artificial intelligence. At the call center, artificial intelligence analyzes the operator's conversation, captures the content of inquiries from customers with a voice recognition system, and displays the answers to the inquiries from business manuals etc. to the operator, reducing response time.
We have improved customer satisfaction and resolved the shortage of operators. Even in the field of stock trading, a service has appeared that uses artificial intelligence to predict market trends from economic indicators, stock stock analysis, news and securities reports, and recommends the purchase of stocks that are likely to rise. Condominium developers are trying to automatically control buildings by machine learning as "smart buildings that utilize artificial intelligence (AI)".
We collect data from various facilities and environmental sensors in the building, automatically adjust air conditioning and lighting, and guide people to safe and quick evacuation routes in the event of a disaster. By introducing artificial intelligence into condominium management operations, it will be possible to reduce the management load of equipment and improve the comfort of residents, leading to optimization of energy efficiency and operation management costs. The most familiar example to us is the "cleaning robot". The sensor mounted on the cleaning robot operates and detects, avoiding obstacles and cleaning. By learning the shape of the room and the arrangement of furniture as a map, the machine will think about how to efficiently clean the entire room and clean it, and after cleaning, return to the home base without permission. Since it starts charging, you can perform hassle-free cleaning without human intervention.
Introducing an increasing number of chatbots
Even though the amount of data handled by companies has increased, the reality is that only a handful of companies can acquire, analyze, and utilize vast amounts of data. In order to handle a large amount of diverse data that is larger than the ones that companies have handled so far, after clarifying what you want to do with artificial intelligence (objective variable), the type of data to be used (Structured and Unstructured), volume, acquisition frequency are organized and analyzed, mining and environment construction are performed so that data can be used, and then parsing (natural language processing, morphological analysis) technology and topic classification / sentence similarity measurement technology.
It is required to design and build a learning model of artificial intelligence by utilizing such as, and start operation. Given the enormous budget, resources, and difficulty that are invested in enabling artificial intelligence, the reality is that many companies cannot easily reach out. Even in such companies, there are many cases where "chatbots" are introduced for the purpose of improving operational efficiency, cost reduction, and customer responsiveness. Even at our company, we teach the machine a program-type bot that links expected questions and answers to them as rules (teacher data) and how to learn the rules, and probabilistically give appropriate answers to the input sentences.
There are an increasing number of consultations and cases such as machine learning type bots that calculate and automatically generate answer sentences, chatbots that take over to manned chat if the machine cannot answer, and construction of a hybrid service of manned chat. Although it is a chatbot that specializes in responding to inquiries from customers, it tends to be relatively effective due to the low psychological barriers of customers when using it. ..
Utilization of artificial intelligence in future marketing
The story of artificial intelligence is accompanied by the "problem of 2045". It is said that in 2045, the capabilities of computers will surpass humans and the leading role of technological development and evolution will reach the singularity where humans shift to computers, and computers will become "conscious" like humans. In preparation, there is growing concern that it may be far beyond humans. Computers are far more capable of four-rule operations and information processing, and what do you think you have "consciousness"? Do you want computers to think humanly in the first place? I think that heated discussions such as these will continue, but at the present time when the working population is declining due to the declining birthrate and aging population and optimization for diversifying customers is essential, "people have done so far. We believe that the trend of "machines (artificial intelligence) taking over part of the work" will continue to revitalize.
In marketing, under the theme of "optimization for individual customers," the role of learning accumulated data, extracting features from the data, and deriving statistical and rational optimal solutions based on customer behavior predictions is ". "Artificial intelligence" changes tastes as we age and the times change, and sometimes makes emotional and irrational judgments. The judgment of how to cause psychological and behavioral changes of customers is "people". It may be the "future where people and computers coexist". Imagine a bright future in which humans and computers coexist, and it seems that we marketers need to deepen their knowledge of artificial intelligence and actively utilize it in marketing.
good job bro...keep it up