Important points of using AI in business scenes
How can I put AI in practice to meet the above expectations?
Although AI is only one word, but the service functions provided are various, and it is made up of multiple element technologies. It also has different implementing methods.
Therefore, in order to apply AI to various business scenes, advanced and highly functional integration that integrates multiple technologies is essential. There are two points here.
The essence of AI utilization is to produce realistic results
The first point is whether we are resolving business problems (improving decision-making quality and improving work efficiency through automation), and whether the results are produced or not. There is also an image of the word “artificial intelligence", which tends to ask for humanity "intelligence" or "wisdom", but the essence of AI utilization in business is not there.
If you can solve the problem by using a rule-based mechanism or by combining it with a machine learning method, even if you are not concerned about applying an advanced technology (like deep learning) on anything, that will be a big achievement.
Breakdown and assembly of diverse elemental technologies
The second point is breaking down technologies to realize clarification of issues and scope identification.
In order to realize the information exchange between the user and the system, the distribution processing of large scale data, the cooperation with other systems for the business purposes such as understanding what customers want in the sales business and product design as mentioned above, or autonomization / automation of the production process, it is necessary to assemble solutions while accurately selecting various elemental technologies as well as AI.
Filling the gap between needs and technology providing total integration
It can be said that companies which can comprehensively cover all processes from data collection to accumulation, analysis, and execution, to establish a business model, can take the lead in AI usage.
From this point of view, NTT DATA offers total services to fill the gaps between customer needs and technologies.
NTT DATA provides a mechanism to transform various technologies into realistic solutions with the strength of industry standards that bring together the analyst's expertise cultivated through many projects.
And there are some priority application areas of AI, such as “customer contact area", "business improvement area" and "advanced complex analysis area (social infrastructure area)".
The customer contact area is primarily targeted at front offices such as call centers or counter services that actually interact with customers, aiming to improve the accuracy of customer service and customer satisfaction. In addition, we as also deal with channels diversification, such as chat bots or chats service.
In the business improvement area, we are aiming at back offices that are responsible for common tasks such as personnel, finance, and purchasing, and middle offices such as audit department or marketing department. We are creating added value as a differentiation factor from competitors, and cost reduction through automatic collection of information by AI, efficiency improvement of specialized tasks that tend to be personalized and judgement uniformity, office work automation combining RPA (Robotic Process Automation) and AI etc,.
In the advanced complex analysis area (social infrastructure area), it corresponds to total integration in which AI and IoT are incorporated. By collecting huge amounts of data from equipment and sensors installed in factories and social infrastructure, coordinating the cloud and the computer on site (edge computer), performing real time analysis and control, we realize advanced processing such as forecasting, predictive detection, or automation. We are promoting the use of AI in social services such as medical treatment or transportation.
In this way, NTT DATA will solve problems in various areas by AI.