6th December 2023
05:00 PM - 07:00 PM MST
We all jump on the ai bandwagon but how are we controlling what AI can and cannot do. What does leadership and governance look like in AI era
Why AI governance matters for organisations adopting AI
The three core pillars of an effective AI governance framework
Common governance challenges and possible ways to address them
How leadership can support responsible AI adoption
How accountability can be built into AI initiatives without treating governance as a final review step
Aditi Agrawal, is Senior Director of Quality Engineering & Automation at Myridius, where she serves as a trusted advisor and strategist to enterprise clients. With 18+ years in quality engineering, she’s known for pioneering AI-native quality practices and building governance frameworks that bring rigor and trust to AI-driven software delivery.
In this session, we will explore different software testing practices that can be applied in production, such as synthetic testing, covering its concepts, benefits, risks, and strategies. We will discuss how these approaches can enhance software quality by detecting failures in a real environment while also addressing challenges like user impact and security.
Additionally, we will present a real case study on applying automated tests to validate platform health in production, covering the challenges faced, strategies adopted, and the results achieved.
• Real-world case study on implementing automated tests for platform health validation
André de Oliveira is a QA Automation Lead specialized in software engineering and test automation. With over 15 years of experience, he has led technology projects across multiple platforms in the fintech sector. Throughout his career, he has managed QA and development teams, driving quality strategies, continuous testing initiatives, and DevOps adoption at companies like Devexperts and Itaú Unibanco. He holds CTFL, CBTS, and AWS Certified Developer certifications.
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