NVP Software Solutions

Category: AI

  • Quality Assurance Webinars from NVP Software Solutions

    Quality Assurance Webinars from NVP Software Solutions

    AI testing for the Test Lead or Manager

    A survey of what needs to be considered as a Test Leader or Manager when embarking on using AI in testing or testing an AI enabled system. 

    March 26, 2026 – 12:00 p.m. Eastern (Toronto) Time Virtual: Zoom

    Registration: https://us02web.zoom.us/meeting/register/yh1Cf6PzThu4fcxZJnHzmg

    Quality Assurance for Startups and Small Organisations

    QA is frequently ignored until it is too late.    Then when the product is released there is a scramble to make updates and release items without proper testing.  Putting in QA earlier resolves these problems.

    April 23, 2026 12:00 p.m. Eastern (Toronto) Time Virtual: Zoom

    Registration: https://us02web.zoom.us/meeting/register/uR8Noz8fQhmDDlReePHV1g

  • AI and The Test Lead/Manager

    AI and The Test Lead/Manager

    In late 2025 NVP ran a webinar about the impacts of AI on a Test Lead/Manager.  We discussed both the changes by using AI in testing (test preparation, execution and reporting) and testing an AI infused system (non-deterministic output).  Recently we had a discussion with someone tasked with the latter problem and his solution to most of the problem.  Clearly there was more work to be done.   With the field of AI moving very quickly, some of what we said several months ago needs to be updated.  A new instance of this webinar will be run in March 2026.  Stay tuned for dates, times and registration details.

  • QA – Why Bother?

    QA – Why Bother?

    If you get the feeling that this is a question you encounter a lot, you are not alone. We get a lot of calls and emails asking us to explain this question. Of course, the answer is dependent on who is asking the question.

    People want to know why they should consider it and, more importantly, the benefit. Sometimes they are simply looking for something to carry back to the project or department.

    In order to answer the question, we need to appeal to the broader costs calculated over multiple projects.

    We define QA as Process Improvement and processes generally apply to multiple projects (or at least can be applied to multiple projects). Hence the need for long term measurements and metrics.

    The simplest example is Defect Management. A simple process to ensure all defects are addressed and handled only once by each member of the team would remove a lot of redundancy.

    Other examples include Testcase creation; Testing; Summary reporting; Development; and Requirements management.  With the advent of AI, this has become much more critical to get right. The chances of going off track at high speed have increased substantially.