Now’s the time to transform your business with the latest AI technologies.
But you don’t have to worry about building a team, go through hiring hassles, and have budget overruns.
ThirdEye introduces “Data & AI Pods” – An on-demand and pre-configured team of Data & AI professionals who are assigned to your data & AI projects at a fixed monthly budget. The team includes Data Scientists, Data Engineers, CloudOps Engineers, and even a Project Manager to ensure that all project deadlines are met and a quality AI solution is delivered.
ThirdEye’s Data & AI Pods are a unit of Data & AI professionals that function together as one team to fulfill specific project objectives.
These Pod teams consist of seasoned Data Scientists, AI Engineers, Data Engineers, DevOps, and Project Managers who work collaboratively with you to tackle your toughest data and AI challenges and unlock the transformative powers of AI.
The pre-configured Data & AI Pods are designed to hit the ground running, eliminating the need for lengthy setup and team assembly. You'll be up and running with your AI project in no time.
Data & AI Pods assemble diverse skill sets, spanning data engineering, AI ML model development, AI engineering, and domain expertise. This cross-functional approach ensures comprehensive coverage of all project aspects, and fosters efficient collaboration and knowledge sharing.
Team members of Data & AI Pods go beyond simply completing projects. They actively engage in knowledge transfer and up-skilling your team, empowering them to manage and refine AI solutions independently in the long run.
| Consultant Role | Location | Load Factors |
|---|---|---|
Computer Vision Pod:
Extract valuable information from images and videos using computer vision techniques, enabling applications like visual inspection, anomaly detection, and automated image analysis.
An on-demand and pre-configured team of Data & AI professionals who are assigned to your data & AI projects at a fixed monthly budget. The team includes Data Scientists, Data Engineers, CloudOps Engineers, and even a Project Manager to ensure that all project deadlines are met and a quality AI solution is delivered.
