BENEFITS OF DOCUMENT
DESCRIPTION
This document provides Industry-specific Generative AI Applications across Healthcare, Education, Fashion, Banking, Gaming, Retail, Insurance, and Manufacturing industry. Also it includes:
(1) Introduction to Generative AI – What is generative AI? How does generative AI work? and Common generative AI applications
(2) Journey to Generative AI – A framework that precise describes what is the actual scope and definition of Generative AI alongside with Artificial Intelligence, Machine Learning, and Deep Learning
(3) History of Generative AI – Generative AI Timeline
In this document, industry specific Gen-AI applications are listed with use cases and descriptions.
(1) Healthcare Applications includes streamlined drug discovery and development, personalized medicine, improved medical imaging, and population health management.
(2) Education Applications includes Personalized lessons, course design, content creation for courses, tutoring, data privacy protection for analytical models, and restoring old learning materials.
(3) Fashion Applications includes creative designing for fashion designers, turning sketches into color images, generating representative fashion models, and marketing & trend analysis for fashion brands.
(4) Banking Applications includes fraud detection, risk management, generating user-friendly explanations for loan denial, and data privacy protection.
(5) Gaming Applications includes procedural content generation, player behavior analysis, non-player character (NPC) behavior, user interface design, and game testing.
(6) Retail Applications includes product and display design, automated retail content generation, product recommendations, supply chain optimization, and virtual shopping assistants.
(7) Insurance Applications includes policy documentation, premium calculation, fraud detection, customer profiling, claims processing, policy generation, and predictive analysis & scenario modeling.
(8) Manufacturing Applications includes predictive maintenance, quality control, and production planning and inventory management.
The interest in generative AI exploded since October 2022 thanks to the launch of ChatGPT. Gartner predicts that by 2025, the % of data generated by generative AI will amount to 10% of all generated data. This document is only focused on real-world applications with examples but given how novel this technology is, some of these are potential use cases.
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Source: Best Practices in Artificial Intelligence PowerPoint Slides: Gen AI Industry Use Cases PowerPoint (PPTX) Presentation, Insights Locus
Artificial Intelligence ChatGPT Deep Learning Robotic Process Automation Fourth Industrial Revolution Digital Transformation Natural Language Processing Machine Learning Automation Supply Chain Analysis
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