- Posted by GM, Digital Solutions
- On January 19, 2021
A Daitan Case Study
The beginning of success starts with collaboration. Daitan’s data scientist team prioritized communication and teamwork specifically in this particular AI project. Throughout the process, the machine learning team strived for consistent two-way communication between the international teams of machine learning experts and our client. In order to achieve such a high level of synergy and partnership, we instituted the ML Canvas platform.
The ML Canvas platform helped us overcome obstacles and achieve our goals in an efficient and economical way, by making improving the following challenges :
- Collaboration across time zones
- Communication between different programming languages
- Closed the knowledge and tools gap between teams.
The machine learning team was able to expedite the original process because of the elevated communication platform that ML Canvas provides. The clients were supported fully and the collaboration was not stifled due to language barriers nor programming differences. The ML Canvas was created for clients to use, as well as our expert machine learning team.
Access the case study below to learn more about our machine learning team’s collaboration with the ML Canvas and how we successfully implemented the platform to detect anomalies in telecom analytics: