Arun Srinivasan’s Post

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Building innovative, accessible, and cost-effective supply chain solutions with AI.

Since the last post (https://lnkd.in/g6T3hK5U), I have been getting questions about the two things: 1️⃣ Do you have a simple illustration of #AI becoming an infrastructure? 2️⃣ What is the significance of building an #AIOverlay platform instead of an AI platform? ▶ Imagine having the #GenAI layer between the customer interface and the business logic in the tech stack, as shown in the illustration. 💪 By positioning the GenAI layer between the customer interface and the business logic, businesses can leverage its ability to perform complex operations and deliver user experience-enhancing results. It's like having a powerhouse of AI capabilities right at your fingertips! ▶ To answer the second question about the significance of building an AI overlay platform, it is fitting to briefly touch upon the philosophy of life cycle thinking in product development. 👉 When developing new products for existing use cases, it's crucial to consider how they will integrate with brownfield deployments and other aspects, such as optimized lifetime and phasing out products in deployments without affecting businesses. 💪 AI overlays can help businesses integrate AI automation capabilities seamlessly and smoothly phase out old solutions without causing significant disruptions, such as downtime or steep learning curves. 🥇 Isn't it amazing how AI overlays can empower businesses with automation, cutting-edge tech, and significant cost savings, all without downtime? #AIOverlay #LifeCycleThinking #NewProductDevelopment

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