Please share with the community what you think needs improvement with Helix ALM.
What are its weaknesses? What would you like to see changed in a future version?
It would be great to see Perforce's strategy is for implementing intelligence into the process via AI or ML. It's not clearly defined, at least not to my knowledge. There're other platforms that do essentially the same thing. You can go to a math lab and say here's a big library of mathematical tools that you can plug into your process. I do process definition and configuration management; these two areas combined with AI ML would be a killer application. Because algorithms don't get sick, they just spit out answers and if you can't interrogate the data, then you need to look at it harder. And that's what it's all about. Its continuous improvement and, nonstop excellence. If you look at what grows hyper-scale environments, it's just that. Hyper-scale environments such as, Amazon and Google and all the big platforms. That's what it takes, basically non-stop improvement.
What do you like most about Helix ALM?
Thanks for sharing your thoughts with the community!