Artificial Intelligence and Machine learning

With its all-round capabilities of handling data and integrating with any application, development and deployment of artificial intelligence for various applications such as predictive analytics, quality checks, energy optimization, Visual Inspections, resource optimization can be done with ease. AI/ML deployment of models from various AI platform such as Tensorflow, OpenCV, GPT-3, Datacentric AI etc inbuilt. For consumer AI or for AI where model needs to be trained once and consumed on large scale foundation approach like natural language processing AI foundations or deep learning can be utilized.

When it comes to Industrial needs, there are very specific AI required for specific task and hence each AI need to be trained for fewer consumption but high impact. Terrestrial platform with its ability to garner large scale data of various processes, and it’s in built capabilities of bit data analytics and interfacing with various AI tools few in built and few third party, data centric AI can be made for each use case of industry overtime, this sets evolutionary processes of developing AI in the organization which makes industry exponentially more productive.