“Wherever you work, you get to meet wonderful people who you learn from and enjoy working with. However, few remain on the top of your list as individuals that you truly feel honored to have known and have worked with. Naja whom I have worked with several years back at Leo Burnett is definitely one of these special individuals who left a strong impression. Young, dynamic, with a high sense of human values. A true team member and a dedicated partner in any project. His passion for marketing, his leadership and communication skills, and his sharp sense of reading audience gives him an edge that very few marketing professionals enjoy. ”
Rancho Cucamonga, California, United States
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What are some effective data storytelling techniques for business analytics?
Effective data storytelling in business analytics hinges on understanding your audience. Tailor your story to their interests, focusing on relevant data. Use simple visuals to clarify complex information and highlight key insights. Engaging narratives and interactive elements can boost understanding and interest. Keep it under 500 characters for clarity and impact.
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You want to measure content marketing ROI. How do you find the best model for your business?
1. Business objectives should be specific, measurable, achievable, relevant, and time-bound (SMART) and involve key stakeholders. 2. Defining business objectives requires a deep understanding of the organization's SWOT and external factors. 3. Regular review, evaluation, and adjustment of business objectives are necessary to ensure the organization remains aligned with its goals and objectives.
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AN EMPIRICAL STUDY ON THE EFFICACY OF LLM-POWERED CHATBOTS IN BASIC INFORMATION RETRIEVAL TASKS
CSUSB ScholarWorks
This thesis examines the effectiveness of large language model (LLM)-powered chatbots versus traditional website browsing for information retrieval. Conducted with 165 participants, the study demonstrates that chatbots are significantly faster and more accurate in retrieving information. These findings suggest substantial potential for LLM-powered chatbots to enhance user experience in human-computer interactions, recommending further research on their long-term performance and user preferences…
This thesis examines the effectiveness of large language model (LLM)-powered chatbots versus traditional website browsing for information retrieval. Conducted with 165 participants, the study demonstrates that chatbots are significantly faster and more accurate in retrieving information. These findings suggest substantial potential for LLM-powered chatbots to enhance user experience in human-computer interactions, recommending further research on their long-term performance and user preferences in complex scenarios.
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English
Full professional proficiency
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Arabic
Native or bilingual proficiency
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