What you talked about is definitely exact, you can see the link below, many companies seek or offer their data quality solution.
Assuming that you are the user longing for a DQ solution, how do you choose? You basically list your requirement priorities, and see which one can solve them. I mean we need to shrink the spectrum and focus on the top priorities. So let's sort out the valued input from issues and requests by Griffin's users, thereby make the movement with great momentent https://www.xenonstack.com/insights/data-quality-management Thx On Mon, Jan 22, 2024 at 10:59 AM William Guo <gu...@apache.org> wrote: > Yes. > > Users have their issues, we fix their problems for them. > > We are confident we are handling real issues, and we just need to evolve > our solutions based on our daily work. > > > > On Sun, Jan 21, 2024 at 9:53 AM Willem Jiang <willem.ji...@gmail.com> > wrote: > > > Hi, > > > > The most important thing is that the project can evolve by solving the > > problems in our daily lives. > > We can quickly improve community activities if we can meet the > > community's needs. > > > > Just my 2 cents. > > > > Willem Jiang > > > > > > > > On Sat, Jan 20, 2024 at 8:54 AM William Guo <gu...@apache.org> wrote: > > > > > > Hello everyone, > > > > > > As we're aware, community activity has been on the lower side lately. > > > However, in the ever-evolving landscape of AI, ensuring high-quality > data > > > is crucial. We aim to enhance Griffin to be versatile and well-suited > for > > > the demands of this emerging AI era. > > > > > > I'm reaching out for your thoughts and ideas on data quality features, > > also > > > how to improve community activities. How can we further refine Griffin > to > > > meet the requirements of robust and high-quality data in the realm of > AI? > > > Your insights are highly valued. > > > > > > Thank you, William > > >
