Minimising AI missteps

INDIA'S RAPID ADOPTION of AI spans advanced R&D, enterprises, and startups alike, transforming everything from automation to advanced data solutions. While organisations accelerate to integrate AI into their operations, it becomes critical to address the technology’s environmental footprint, which is a growing challenge that could undermine both sustainability ambitions and long-term business resilience. Here are five critical mistakes business and technology leaders in India should avoid when scaling AI responsibly:

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Overengineering AI: As organisations explore the power of advanced AI, it’s important to align model choice with the task at hand. While large-scale models unlock remarkable capabilities, many applications can be addressed with smaller, optimised models. Selecting the rightsized model not only optimises performance and cost but also supports sustainability goals by reducing computational overhead.