In today’s world, artificial ielligence is rapidly changing and evolving, and businesses are taking advaage of it. However, lack of familiarity with technology and fear of failure are still the main concerns of non-technical customers. This article examines these challenges and solutions provided by experts to better benefit from artificial ielligence.
Challenges of non-technical people in accepting artificial ielligence
In this session, Craig Saunders, VP of Artificial Ielligence at Builder.ai, discussed the economic poteial of AI and how it can help businesses create value. He poied out that one of the main challenges is iroducing artificial ielligence to non-technical people who face two basic concerns; Irrelevance and failure. He emphasized that solving the real problems of businesses is more importa than technology. He also meioned the evolution of artificial ielligence from hybrid software to age-based systems and the use of large language models and emphasized that artificial ielligence should be used in a practical and scalable way.
expectations and capabilities of artificial ielligence; A new challenge
One of the ieresting pois of this conversation was that today, customers’ expectations of artificial ielligence capabilities have increased greatly. In the past, only technical audiences were aware of the capabilities of AI, but now even non-technical people have high expectations of it. Craig Saunders explained that one of the curre challenges is that customers sometimes expect AI to be able to do everything, when its actual capabilities have yet to reach this level.
The meeting ended by emphasizing the importance of a detailed understanding of the applications of artificial ielligence and how to iegrate it with the real needs of businesses. Although artificial ielligence is still in the early stages of developme, its capabilities are growing rapidly. This conversation emphasized the need to use technology as a tool to solve real problems and add value to businesses.
