Challenges experienced by the education and e-commerce businesses in the adoption of AI 5.1 Education

Challenges experienced by the education and e-commerce businesses in the adoption of AI 5.1 Education

All the amazing AI technologies need reliable and stable electrification, hardware, and internet connection for them to operate. Currently, all of these are not readily available around the globe. In fact, during the current Covid 19, starting an online education has been marked as a key opportunity during the pandemic. However, setting up the hardware and introducing AI technology is very expensive. Research shows that despite the pandemic forcing the adoption of these technologies, 30% of third-world countries have not started online education businesses. The education business has the challenge of the high cost of bridging the digital gap.

When adopting and implementing AI, various societal and ethical concerns must be addressed. In any discussion of data ethics, questions would be asked concerning security and data privacy (Dukhanina and Maximenko 2020). AI technologies require the use of personal data for security purposes. However, the use of personal data to ensure the individual privacy preferences is protected has been a challenge. A study on cyber-attacks indicates that cases of security breaches have been on the increase as attackers are always targeting new technologies. Also, the education business faces the challenge of ethics and transparency.

5.2 E-commerce

The main challenge faced by e-commerce businesses is the human capital gaps. Concerns of lack of understanding on how the AI technologies work have been outlined. According to the Deloitte survey, the concern of lack of skills in AI adoption was estimated at 31%. That has led to the need for e-commerce businesses to invest in training their human capital to understand AI technologies’ dynamics.

E-commerce businesses are also faced with the challenge of data collection. AI technologies require data to process its data analysis, algorithms, and machine learning for accurate outputs. Currently, Gartner has predicted that 85% of AI technologies will provide bad outcomes based on the biasness of data, algorithms, and the people handling them (Prof. Lakshmi Narayan. N | Naveena. N 2019). This comes from present issues concerning incorrect responses from customers, inadequate agents, and bias perspectives. AI technologies are not conscious beings, and they only act based on available information. With poor data collection, AI technologies provide wrong information leading businesses to losses.

6.0 Comparison of benefits and outcomes across organizations in the education and e-commerce sectors.

6.1 Commonalities

AI technologies in both the education and e-commerce sector save time. AI technologies in e-commerce are used in the pricing of products. The traditional pricing methods were manual and would take a lot of time, especially for a large organization with many products. Likewise, as stated earlier, educators spend a lot of time grading, analyzing performances, and accessing learning patterns. AI adoption has automated all these activities, thereby saving the educator time.

Also, AI technologies offer personalization for both education and e-commerce sector organizations. As stated earlier, in the education sector, students’ levels of knowledge differ. Each student has unique experiences and preferences, making AI’s ability to personalize their tutoring a plus. Similarly, AI in e-commerce can offer a personalized approach to meet customer’s needs. AI analyzes customer’s preferences and purchases and recommends personalized products for the customers.

Moreover, the benefits and outcomes of AI technologies in education and e-commerce benefit both the organization and the consumers. In e-commerce, for instance, when AI technology recommends the right product to the consumer, the consumer benefits from the saved time that would have been spent in searching for the product. As a result, the consumer remains loyal to the business. On the other hand, when consumers are loyal to the business, the organization benefit from an increased sale, which is profitable to the organization.

6.2 Differences

E-commerce organizations adopting AI technologies benefit from the option of retargeting their potential consumers. This means that in e-commerce, the number of consumers only counts when a customer makes a one-time purchase. Once a customer makes a purchase, the customer must be retargeted again to make another purchase. In the education sector, its consumers, do not have to be retargeted frequently as they are tied down to school calendars and semester terms. This gives them a forced approach to interact with the adopted AI technologies.

Adoption of AI technologies by consumers is easier in the education sector compared to the e-commerce sector. For instance, in e-commerce, the customer can directly interact with a chatbot