As a system and service designer, my journey has led me to explore the impact of the Generative AI value chain on Indian manufacturing and service industries. these are my learnings, observations, and personal experiences regarding the potential of building end-user applications. Through the lens of my system design expertise, I will delve into two examples each from the manufacturing and service sectors that exemplify the transformative power of Generative AI.
The Generative AI Value Chain:
In my quest to understand the Generative AI value chain, I have come to realize its profound impact on various aspects of the industry. Let’s dive into each component of the value chain and explore the possibilities they present:
Services: One of the key opportunities lies in providing specialized knowledge services to help businesses leverage Generative AI effectively. These services encompass training, feedback, and reinforcement learning, enabling organizations to harness the full potential of Generative AI models for specific use cases.
One of my recent interactions with a fellow startup founder I have witnessed the transformative impact of a consulting firm like TRD Studios that offers tailored training programs to optimize supply chain operations using Generative AI. Through their expertise and continuous feedback loops, businesses can achieve significant operational efficiency gains and cost savings.
Another founder who runs an online learning platform that empowers medical professionals to leverage Generative AI in healthcare. Their interactive courses and reinforcement learning techniques enhance diagnostic accuracy and improve patient outcomes.
The versatility of Generative AI is truly remarkable, with both B2B and B2C applications revolutionizing industries by utilizing foundation models. These applications leverage the power of Generative AI to generate insights, predictions, and creative outputs.
I encountered a B2B software company that developed a marketing analytics platform powered by Generative AI. By analyzing customer data and predicting consumer behavior, businesses can tailor their marketing strategies for enhanced customer engagement and improved conversion rates.
Exploring the fashion industry, I discovered a B2C mobile application that integrates Generative AI to provide an immersive user experience. With features like virtual try-on and personalized style recommendations, customers can make informed purchasing decisions and explore new fashion trends.
Model Hubs and MLOps: Model hubs and MLOps tools play a vital role in curating, hosting, fine-tuning, and managing foundation models. These platforms act as seamless bridges between applications and foundation models, streamlining integration and optimization processes.
During my journey, I encountered a startup that developed a model hub platform, offering developers and data scientists access to pre-trained Generative AI models for various applications. This platform simplifies development efforts and accelerates the deployment of AI-powered solutions.
Witnessing the manufacturing industry, I observed an enterprise leveraging an MLOps tool to enhance quality control. By fine-tuning and managing Generative AI models in real-time, they ensure consistent production standards and reduce defects.
My exploration of the Generative AI value chain has opened my eyes to the immense opportunities it holds for Indian manufacturing and service industries. By embracing specialized services, developing impactful applications, utilizing model hubs and MLOps tools, and harnessing the potential of foundation models, businesses can unlock new frontiers of innovation and growth. The transformative power of Generative AI is undeniable, and its integration within the industry will undoubtedly shape the future of commerce in India.
