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The Quality Beat

Where software quality lives, breathes, and keeps evolving.

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In every great product, there’s a rhythm. And quality sets the beat.

The Quality Beat is a podcast for tech leaders, engineers, and quality minds who care about building better software—from strategy to delivery. In each episode, we tune into real conversations around what drives quality at scale: test efficiency, AI in QA, accessibility, SAP testing, end-to-end engineering, and everything in between.

Hosted by Nagarro and joined by voices across the industry, we go deep on what drives modern software quality without losing the heartbeat of what makes teams and tech work together.

Because quality isn’t static. It lives, breathes, and keeps evolving.

A new episode is here!

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Choosing the right AI model across the STLC

with Neeraj Jain and Nikita Mittal, Nagarro 

The “best” AI model is not always the right one. For QA teams, the better question is: how much intelligence does this testing task actually require? Neeraj Jain and Nikita Mittal unpack a practical 3-tier framework for AI model selection across the STLC, and discuss the factors teams should weigh before choosing: complexity, quality, latency, cost, and security/compliance. Because smarter AI adoption starts with choosing the right model for the right job.

Sep 9, 2026

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Artificial Intelligence

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Banking & Financial Services

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The next episode of The Quality Pulse is dropping soon

Get a sneak peek of the next podcast episode

Coming up next: Gurpreet sits down with Thomas Steirer, CTO at Nagarro, to unpack why agentic adoption and scaling can become catastrophic, and what organizations can do to fix it. Stay tuned!

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Your podcast host

Gurpreet Bhadesh

Gurpreet Bhadesh is a Cloud Consultant and a strong advocate of quality at Nagarro. Working across diverse industries, she assists clients in harnessing the potential of cloud services to realize their business objectives. Gurpreet's expertise lies in architecting robust cloud environments, establishing the cornerstone of a secure infrastructure for building fault-tolerant cloud solutions. She is deeply passionate about harnessing the power of data and machine learning to extract valuable insights and predict future trends.

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