The annual QA Financial and E-Commerce Forum will return to New York City on May 14, at the esteemed Harvard Club, bringing together leading experts and professionals in the field of software quality engineering.
Ahead of the conference, QA Financial bring you a snap shot of what to expect and who is plan to speak during this full-day event.
One of the event’s key speakers will be Simon McVeigh, the Global VP of Sales Engineering at K2view. His talk will evolve around the rapid transition of banks, insurance companies, and other large financial institutions to the cloud.
This development has sparked a critical challenge: how to create secure, regulatory-compliant test data environments that mirror real-world scenarios.
McVeigh, who has over two decades of experience managing complex data projects in challenging IT environments, is working on innovative synthetic data management approaches, specifically using AI to generate realistic test data that effectively mimics production data.
His upcoming conference session, titled “Cloning, Emulating and Transforming Data for App Testing with GenAI,” will address this challenge head-on by showcasing how synthetic and masked data, powered by Generative AI, can be used to accelerate software delivery while ensuring compliance.
McVeigh is expected to address delegates on Wednesday, May 14 from 12:00 PM to 12:30 PM. With over two decades of experience across data, networking, telecom, and financial services,
He will provide a unique perspective on how GenAI is transforming data management and testing practices within the financial sector.
During the session, McVeigh will present a live demonstration of how AI can generate production-like data for testing purposes.
Attendees will witness firsthand how customer data from different business entities can be cloned, emulated, and transformed to support the performance testing of complex banking and insurance applications.
This approach not only accelerates software development but also ensures that the test data environments comply with the stringent regulatory frameworks governing the financial industry.
Attendees can expect to learn how to harness the power of synthetic data generation and masked data techniques to drive AI-based testing, reducing both risk and time-to-market.
This talk promises to be an essential resource for anyone involved in data-driven application development, particularly within the highly regulated financial services industry. As financial institutions continue to adopt Cloud solutions, the ability to create secure, compliant, and effective test data environments will be crucial to their success.
For those looking to stay ahead of the curve in data-driven application testing, this session offers a glimpse into the future of GenAI-powered solutions in financial technology. Find more information about the Forum and/or register here.
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REGULATION & COMPLIANCE
Looking for more news on regulations and compliance requirements driving developments in software quality engineering at financial firms? Visit our dedicated Regulation & Compliance page here.
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