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AutomationSTAR

Test Automation Conference Europe

Track Talk M7

Lost in the Hype: Why Engineers Pursue AI & How to Address It

Nancy Jain

Deepak Koul

16:50 - 17:35, Monday 10th November CET

The migration of top talent into AI has left traditional software delivery teams in a precarious state. Engineering velocity slows, quality takes a hit, and enterprise customers are frustrated with delayed features and increasing bugs. Meanwhile, AI teams are often struggling to define clear paths to profitability, compounding the issue: FOMO is driving talent in droves to AI roles, even as the sector struggles to justify its investments.

The allure of AI is hard to resist—media hype, career growth prospects, and promises of transformative innovation all play their part. However, enterprise software companies, which still generate the bulk of industry revenue, often fail to invest in making traditional software roles equally engaging. The result? Top talent opts for what appears more exciting, leaving traditional teams to grapple with understaffing and diminishing morale.

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What you will Learn

  1. Retain top engineering and QE talent in enterprise software teams.
  2. Cultivate meaningful AI collaboration without losing focus on revenue-generating projects.
  3. Build a future-ready workforce that thrives in both AI and traditional domains.

Session Details

  • Introductory
  • 30mins
  • 15mins Q&A
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Session Speaker

Nancy Jain

RedHat, India

As the Quality Engineer Manager, I am responsible for overseeing the development and implementation of quality control processes and systems, as well as ensuring that our products meet the highest quality standards. Me and my team also committed to continuously improving our quality management processes and collaborating with our cross-functional teams to achieve our quality goals.

Co Speaker

Deepak Koul

RedHat, India

In a career spanning more than 18 years so far, Deepak has been a tester, automation enthusiast and an experienced engineering manager with a longtime passion for software quality, UX, psychology and now AI. He believes that a deep understanding of human behavior and motivation is essential to building high-performing teams and organizations. He has applied this knowledge to develop innovative processes, management strategies and leadership practices that have helped to improve productivity and employee engagement. In his current role as a senior engineering manager at Red Hat, Deepak is focused on building digital experiences for Red Hat Partners. He posts about tech humor on linkedin and has been a prolific speaker with more than 35 talks in the last 10 years.