A recent study by Insight Enterprises and The Harris Poll reveals that while generative AI adoption is increasing among businesses, there are also growing concerns about its implementation. The study shows that 72% of business leaders from Fortune 500 companies plan to incorporate generative AI within the next three years to improve employee productivity. However, about half of the respondents expressed reservations about deploying these technologies, with the main concerns being quality and control (51%) and safety and security risks (49%).
The study also found that 90% of business leaders anticipate that adopting generative AI will impact specific organizational roles, with data analysts and data scientists being the most likely to be affected. Business leaders primarily want to use generative AI to enhance employee productivity and customer service, with 66% recognizing its potential in improving customer service and 44% keen on providing personalized customer experiences through generative AI.
Source Article: https://venturebeat.com/ai/business-leaders-fret-about-generative-ai-despite-growing-adoption/
What percentage of business leaders from Fortune 500 companies plan to incorporate generative AI within the next three years according to the study?
A) 50%
B) 72%
C) 80%
D) 90%
What are the two main concerns about deploying generative AI as expressed by the respondents in the study?
A) Cost and Complexity
B) Quality and Control
C) Safety and Security Risks
D) Both B) and C)
Which organizational roles do business leaders anticipate will be most impacted by the adoption of generative AI?
A) Software Developers and Testers
B) Professionals in Financial Operations and Communications Roles
C) Data Analysts and Data Scientists
D) All of the above
Bottom Line for Marketers:
Generative AI has the potential to enhance employee productivity and customer service. It can be used to provide personalized customer experiences, which is a key aspect for marketers to improve customer engagement and satisfaction.
Answers to the Multiple Choice Questions:
B) 72%
D) Both B) and C)
C) Data Analysts and Data Scientists