Demonstrating The Empowering Nature Of Generative AI For Non-technical Professional Decision-makers

Demonstrating The Empowering Nature Of Generative AI For Non-technical Professional Decision-makers

  • Link to the Shared Google Sheet and Looker Studio visualization
  • Content Info:
    • Content style: Use case
    • Content semantics: Showcasing the power of generative AI and prompt engineering in assisting non-technical professionals in marketing analysis
    • Assumed audience: Non-technical professional decision-makers, Marketing Advocates
    • Level of document technicality: Low, focusing on practical application and accessibility

Since the rise and use of Generative AI and Prompt engineering for the public, I have been asked by non-technical professional decision-makers daily, “What can Prompt Engineering do for me?” In response to this common business inquiry, let’s explore an example use case from a business perspective.

The combination of Generative AI and Prompt Engineering as a set is like a genie in a bottle that can assist anyone with their tasks and enhancement. As AI technology advances, businesses are experiencing significant improvements in areas such as accelerated content creation, personalized product development, and improved task efficiency. One remarkable aspect of this technology is its accessibility to users at all levels, regardless of their expertise in data or prompt engineering. Platforms like ‘YouChat’, ‘ChatGPT’, and ‘HuggingChat’, … help non-technical business leaders gain valuable insights into their data before seeking professional services. So, let’s rub that genie bottle and see what it can do!

To demonstrate the power of generative AI in assisting non-technical individuals, I decided to explore its capabilities using the ‘You.com’ chatbot. As a Marketing Advocate, I wanted to gain marketing insights from a historical retail transaction log. For this use case, I utilized the Online Retail Dataset from the UCI Machine Learning Repository. I stored it in a Google Sheet to conveniently access and analyze the dataset.

I engaged with the ‘You.com’ chatbot and requested ten potential marketing analysis areas from my dataset. After carefully reviewing the suggestions, I selected two relevant aspects and sought further assistance from the chatbot. In response, the chatbot promptly provided tailored Google Sheet queries. With these queries, I delved into the dataset, generating comprehensive reports and deriving valuable marketing insights.

The shared Google sheet consists of the following:

  • In Blue: The raw dataset from the Online Retail Dataset from the UCI Machine Learning Repository
  • In Orange: The first recommended query by a Generative AI, ‘You.com,’ along with visualization of the results in Looker Studio
  • In Yellow: The second recommended query by a Generative AI, ‘You.com,’ along with visualization of the results in Looker Studio

This use case showcases the empowering nature of generative AI for individuals without technical expertise in AI prompt engineering. With platforms like ‘YouChat’, ‘ChatGPT’, and ‘HuggingChat’, even non-technical professionals like Marketing Advocates can unlock the potential of their data and obtain meaningful insights. The combination of generative AI and prompt engineering is a guiding force, enabling users to navigate complex datasets and gain valuable knowledge. Let’s harness the power of generative AI, just like rubbing a genie bottle, and revolutionize our decision-making processes.