THE ART OF SCALING TECHNOLOGY THROUGH PRODUCT INNOVATION

Manav Khurana has 24 years of total experience in product management, marketing, and leadership roles across various technology companies. He leads product strategy, vision, and management at New Relic, focusing on empowering engineers with data-driven insights. As SVP, Product GM, he implemented the company's consumption business model. With expertise in creating new technology categories and product-led growth, he previously held leadership roles at Twilio, Aruba (HPE), and Motorola. Manav holds a Bachelor's in Electrical and Computer Engineering from the University of Rochester and an MBA from Santa Clara University. His passion lies in driving innovation through datadriven decision-making.

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Manav Khurana, Chief Product Officer, New Relic

In a recent interaction with M R Yuvatha, Senior Correspondent at siliconindia, Manav Khurana shared his insights on 'The Art of Scaling Technology through Product Innovation'.

In today's rapidly evolving digital landscape, scaling technology requires more than just groundbreaking ideas it demands strategic execution, continuous experimentation, and adaptive innovation. As industries embrace AI-driven solutions, agile methodologies, and emerging technologies, businesses must navigate the complexities of scaling while maintaining efficiency and market relevance. The art of scaling technology lies in fostering a culture of innovation, leveraging data-driven insights, and ensuring seamless integration of advancements. By understanding key enablers like ownership, behavior, and process, enterprises can transform innovative concepts into scalable, sustainable solutions that drive long-term success.

AI-Driven Development and Intelligent Observability

AI is actually adding a new layer of abstraction, which makes software development much easier than it has ever been. Previously, to write even a short set of assembly instructions involved vast amounts of coding, frequently dozens of pages. With the introduction of languages such as C and C++, though, much of the hardware detail was abstracted, making development simpler. Recently, contemporary programming languages have further raised this abstraction to a point where coding concepts become accessible to beginners, even young students. Today, AI-based tools like ChatGPT and IDEs with AI integration have further changed the scenario, allowing one to develop software with less effort through easy commands.