“Corporate big data utilization cases? They are merely marketing; there is a lack of examples that have led to actual results in the industry. Companies must demonstrate digital leadership by establishing and driving technology starting from the end user.”

Shin Kyung-sik, Head of the Department of Big Data Analytics at Ewha Womans University, gave a lecture at Smart Connected World 2017 on the topic of "Business Transformation Using Artificial Intelligence: Where to Start?"

Professor Shin emphasized the absorptive capacity of industry professionals to understand big data and artificial intelligence technologies and achieve results. Just as it was 20 to 30 years ago when one could get a job simply by being able to use a computer, technical education and training for working professionals are important.

He said that among hyper-connectivity and hyper-intelligence, which are the core of the Fourth Industrial Revolution, hyper-connectivity can be achieved in terms of hardware, but hyper-intelligence can only be realized when individual members understand convergent technologies, so companies must manage change.

What makes companies hesitate to utilize big data?

Professor Vegard Kolbjornsrud of the Norwegian Business School gave a presentation on the topic of "How Companies Can Re-establish Management with Artificial Intelligence."
In his paper 'Partnering with AI: How organizations can win over skeptical manager', he introduced the results of a survey conducted among managers.
At the same time, 84% responded positively to the statement "AI managers will work more effectively" (39% fully agree, 45% somewhat agree), while 36% expressed the opinion that "I am afraid of losing my job" (13% fully agree, 23% somewhat agree).

Management positions primarily require technical skills, creative thinking and decision-making ability, and data analysis skills, AThe conclusion is that I am afraid of losing my job because I think I will 'manage this efficiently'.

However, it was found that the task where managers actually spend the most time is 'writing reports' at 54% .

He proposed assigning the role of an assistant to a managerial AI. However, he stated that the machine learning-trained AI must perform tasks in stages, including report writing and schedule coordination, schedule and scenario planning, and evaluation of options and decision-making.
Other survey questions assumed the scenario where AI is introduced into management positions. They asked, "Can you accept AI decision-making (investments and complex problems) and business monitoring?"

The percentage of respondents who answered that it was acceptable was less than 20% in Nordic countries (Finland, Sweden, Norway), and close to 50% in India and the Asia-Pacific region.

However, they answered that it can be accepted only if it satisfies conditions such as whether the artificial intelligence understands the system's operating principles, whether the track record is based on proven technology, and whether it can clearly present relevant explanations and evidence.