Omnext presents

Low-Code Quality Governance:
Speed Vs Quality

Low-code platforms come with a lot of benefits. One of the most prominent benefits is development speed. But sometimes, speed comes at a cost and may affect quality in a negative way. Organizations and Development Teams are struggling with this challenge on a daily basis. They need software delivered at high speed, but they are also expected to deliver highly maintainable and secure software. Delivering high quality though, usually takes more time. So, how can both Development Teams During and Organizations as a whole deal with this challenge?

In this webinar CAST and Omnext will share their insights on how automated software analysis for low-code platforms can help organizations to face this speed vs. quality challenge.

Learn about:

  • What are the challenges related to low-code?
  • How continuous quality monitoring on an application level can offer an answer to these challenges for Development Teams?
  • How low-code portfolio monitoring can offer an answer to these challenges for Organizations as a whole?

Bryan de Vries

Bryan de Vries
Chief Commercial Officer

Bryan de Vries is the Chief Commercial Officer at Omnext and responsible for Omnext’s low-code analysis proposition, product development, partnerships and sales.

He advises organizations and low-code development teams on non-functional quality assurance and knows what kind of challenges these organizations and teams experience first-hand.

Christophe Falisse
CAST Software

Christophe Falisse
Technical Director

During its 20 years’ presence at CAST, he has seen, faced and learned the biggest challenges typical Development Team face when it comes about managing source code lifecycle and quality (knowledge transfer, impact analysis, vendor control, team efficiency, software resiliency, rework, risk mitigation).

He specializes in designing the solution to fit the business goals of biggest European corporate accounts, delivering high level value programs for both quality and risk adjusted productivity measurements.