Project Title: Leveraging AI for Influencer Talent Recruitment and Retention
Iconically
| Details | |
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| Project Title | Leveraging AI for Influencer Talent Recruitment and Retention |
| Project Topics | Artificial Intelligence & Machine Learning Digital Marketing Talent Management Training & Development Workforce Development |
| Skills & Expertise | AI Model Development Collaboration Communication skills Data analysis Digital Marketing HR Processes Machine Learning Presentation skills Problem Solving Project Management Python Research and Analysis Stakeholder Engagement Strategic Thinking Talent Management |
| Project Synopsis: Challenge/Opportunity | Iconically is a leading company in digital marketing, renowned for its expertise in influencer partnerships. However, the dynamic nature of the influencer landscape presents a challenge in efficiently recruiting and retaining top talent. The current manual processes are time-consuming and lack the scalability needed to keep pace with industry demands, impacting the company's ability to maintain a competitive edge. The challenge lies in developing AI-driven solutions to automate these processes while ensuring alignment with brand values and strategic goals. This project presents an opportunity for students to contribute to a high-impact business solution, applying their academic knowledge to real-world challenges. Students will delve into phases of AI model development, data analysis, and process optimization, offering a comprehensive learning experience. This project is ideal for students as it bridges academic learning with practical application, developing skills in AI, talent management, and strategic thinking. They will gain valuable insights into corporate HR functions, enhancing their career prospects in consulting, operations, and business strategy roles. The project offers a unique chance to explore the intersection of AI and HR, fostering excitement and engagement among participants.
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Project Timeline
| Touchpoints & Assignments | Date | Type |
|---|---|---|
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Program Kickoff |
Jun 01 2026 | Event |
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Pre-Kickoff Self Evaluation |
Jun 19 2026 | Evaluation |