Quest for Quality is a 2-day forward-thinking annual software QA and testing conference, discussing the latest trends and topics in Artificial Intelligence & Quality Assurance while bringing together international thought leaders addressing latest challenges of new technologies.
Further details on the 2020 conference including the theme, registration, speakers & agenda will be announced shortly as a team of professionals are currently working to make it a memorable one for you.
The just concluded 2019 conference gathered over 175 decision makers from 5 continents and diverse companies worldwide, focusing on the intersection of AI and quality assurance, as well as how AI has become a stalwart for many organizations across industries and a major part of people’s daily lives. In particular, the discussions at the conference explored the subject of efficiency in software testing prior to roll-out, the accuracy and effectiveness of AI today, in testing as well as the role of historical data and human influence in AI-tested processes.
Quest for Quality began its journey in 2016 in Ljubljana, Slovenia, bringing together professionals from 12 different European countries and 79 different companies. In 2017, we decided to bring the Quest community to the very heart of technology – the European Silicon Valley in the city of Dublin in Ireland. Gathering 150 high-level software testing professionals from Ireland, UK, and the DACH region, 2017 conference was a unique opportunity to learn about the challenges that Quality Assurance in the IT industry faces in the evolution of digital transformation while 2018 conference gave us an opportunity put a strong focus on the business aspect of Quality Assurance.
We all know that software testing will change when AI, blockchain and IoT are in full swing. In fact, change has already started and is inevitable. Inspired by the idea that, once they are implemented, these fundamental, world-enabling technologies just cannot afford to fail, we decided that this year's Quest for Quality conference should explore the following concerns: