In this webinar, we’ll present PractiTest’s MCP approach: a practical way to orchestrate AI tools across the testing lifecycle, so AI outputs are based on real testing context, real results, and real decisions. We’ll cover:
Who should attend: QA & Test Managers, Senior Testers, Quality Engineers, and Engineering Leaders exploring AI in testing.
If you want to use AI to test better and not just faster, join us.
Joel Montvelisky is a Co-Founder and Chief Product Officer at PractiTest. He has been in testing and QA since 1997, working as a tester, QA Manager and Director, and Consultant for companies in Israel, the US, and the EU. Joel is a Forbes council member, and a blogger. In addition, he’s the founder and Chair of the OnlineTestConf, the co-founder of the State of Testing survey and report, and a Director at the Association of Software Testing. Joel is a conference speaker, presenting in various conferences and forums worldwide, among them the STAR Conferences, STPCon, JaSST, TestLeadership Conf, CAST, QA&Test, and more.
