Artificial Intelligence (AI) is changing how industries operate by improving efficiency and decision-making. From manufacturing and finance to healthcare and defense, AI applications are being adopted on a large scale.
Manas Talukdar, director of engineering at Labelbox and an AI expert, compared the current impact of AI to the Industrial Revolution: “The AI revolution we’re witnessing today is comparable in scale and impact to the Industrial Revolution. It’s not just about automating tasks; it’s about fundamentally reimagining how businesses operate and make decisions.”
AI is being used for predictive maintenance, fraud detection, and optimizing processes. Talukdar shared examples from his work in developing large-scale AI applications commercialized and deployed across the world, such as using AI and drones to monitor energy pipeline rust, AI driven fraud detection for financial transactions, and using predictive AI for improving equipment readiness. He stressed the importance of high-quality, real-time data for productionization of these systems.
Talukdar also noted challenges in integrating AI into existing systems and ensuring scalability. He highlighted the need to build systems that allow data scientists to work with their preferred tools while supporting rapid technological advancements.
Professor Rahul Gupta, an expert in AI ethics, pointed out another challenge: “While the potential of AI is significant, implementing it responsibly is equally important. Decisions made by AI systems must be explainable, especially in critical sectors like healthcare and defense.”
A data scientist specializing in industrial AI, also said, “AI is not just about innovation—it’s about solving persistent problems like reducing downtime in manufacturing or detecting fraud in financial systems. However, data quality and accessibility remain major hurdles.”
