AIB-2 AI-Driven Industry Growth
Start Date
12-4-2024 9:30 AM
End Date
12-4-2024 11:30 AM
Location
University Readiness Center Greatroom
Document Type
Poster
Abstract
The theory of establishing an industry dedicated to facilitating the growth of other industries by identifying their gaps and devising strategies for improvement. Leveraging Artificial Intelligence (AI) technologies, by proposing a data-driven approach to analyzing industry trends, consumer preferences, and competitor strategies. By harnessing AI-powered data analytics, predictive modeling, and natural language processing (NLP), the aim is to extract actionable insights from vast amounts of industry data, enabling us to identify opportunities for innovation and growth. AI-driven recommender systems and decision support systems will be utilized to provide personalized recommendations and real-time insights to industry professionals. To simplify procedures, automate repetitive jobs, and enable businesses to make knowledgeable, data-driven decisions that drive significant change and innovation across a range of industries through the integration of AI technologies. This highlights the potential of AI in revolutionizing the way industries collaborate and innovate, ultimately fostering cross-industry growth and development.
Keywords
AI technologies, NLP, Industry trends, Recommender systems, Automation
AIB-2 AI-Driven Industry Growth
University Readiness Center Greatroom
The theory of establishing an industry dedicated to facilitating the growth of other industries by identifying their gaps and devising strategies for improvement. Leveraging Artificial Intelligence (AI) technologies, by proposing a data-driven approach to analyzing industry trends, consumer preferences, and competitor strategies. By harnessing AI-powered data analytics, predictive modeling, and natural language processing (NLP), the aim is to extract actionable insights from vast amounts of industry data, enabling us to identify opportunities for innovation and growth. AI-driven recommender systems and decision support systems will be utilized to provide personalized recommendations and real-time insights to industry professionals. To simplify procedures, automate repetitive jobs, and enable businesses to make knowledgeable, data-driven decisions that drive significant change and innovation across a range of industries through the integration of AI technologies. This highlights the potential of AI in revolutionizing the way industries collaborate and innovate, ultimately fostering cross-industry growth and development.