Nagabhushan Ramappa - The Test Tribe
Nagabhushan Ramappa

TribeQonf 2024 Speaker & TOPIC

Nagabhushan Ramappa

Head of Product Reliability at Jio Fynd

Tribe 2024 Speaker & TOPIC

The AI Imperative: Essential Advances in Quality Engineering

by Nagabhushan Ramappa, Head of Product Reliability at Jio Fynd

Testing
QE
SDET
Reliability
Journey

INDIA's TOP SOFTWARE TESTING EXPERTS

20+ Thought Leaders from India's Top Companies

Key Takeaways

What you’ll learn

1

Adoption of AI for Enhanced Test Automation

Testing professionals must embrace AI-driven tools to automate repetitive tasks, improve test coverage, and accelerate testing cycles.

2

Leveraging AI for Predictive Analytics and Defect Detection

AI’s capability to analyze large datasets and predict potential issues before they occur is a game-changer in quality engineering. 

3

Enhancing Test Case Design and Optimization

Through machine learning algorithms, AI can analyze previous test results and code changes to suggest optimal test cases, reducing redundancy and focusing on critical areas that need attention

4

Continuous Learning and Skill Development

Ongoing education and training in AI concepts will enable testers to effectively integrate AI into their workflows and stay ahead in the rapidly changing landscape of quality engineering

Session Outline

The session titled “The AI Imperative: Essential Advances in Quality Engineering” is designed to equip testing professionals with the latest advancements and methodologies essential for integrating AI into quality engineering. The session will begin with an overview of the current landscape of AI in software testing, emphasizing the transformative potential of AI-driven tools and techniques. Participants will explore how AI can enhance test automation, improve test coverage, and optimize defect detection processes. The session will delve into practical applications, demonstrating the implementation of AI in test case generation, predictive analytics for identifying high-risk areas, and intelligent test data management. Additionally, it will address the challenges and best practices in adopting AI, including handling biases in AI algorithms, ensuring transparency, and maintaining data security and privacy.

Real-world case studies will be presented to illustrate successful AI integration in quality engineering, providing attendees with actionable insights and strategies. Interactive discussions and hands-on exercises will foster a deeper understanding of AI’s role in enhancing the efficiency and effectiveness of testing practices. By the end of the session, testing professionals will be equipped with the knowledge and tools to leverage AI in their quality engineering processes, driving innovation and excellence in their testing endeavors.

More about our speaker

Continuing the journey of building top-notch testing tools which helped Hotstar to sustain 25+ million concurrency. Currently, Working as a Head of Product Reliability at Jio Fynd Reliance Retail. Has worked in Companies like TesThING Technologies, Hotstar, TinyTodd.com and many more.

Past exp.
TesThig removebg preview
disney hotstar 1 removebg preview
Nagabhushan Ramappa

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INDIA's TOP SOFTWARE TESTING EXPERTS

20+ Thought Leaders from India's Top Companies

FAQ’s

Have any questions?

TribeQonf is an offline conference happening in Radisson Blu Bengaluru Marathahalli Junction – Outer Ring Road.

TribeQonf is happening on 14th July and 15th July, 2023 in Bangalore.

For Full day pass, The recordings will be shared for upto 6 months. For one day pass, Recording will be shared for the day you have attended for upto 1 month.

You can bring in your testing peers to register for the event and join The Test Tribe community.  You can spread the word on social media using the hashtag #TribeQonf and tag us.

The event will happen on 14th July and 15th July for 8-9 hours each day.

You can share the list of participants with First Name, Last name, Email address, Country, Organisation, Designation with us at  [email protected] and we will bulk register your teams after confirming on possible discount.

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