Assist in creating a
Unified Self Service
AI framework

SDKs facilitate the creation of applications and include all the documentation, sample code, debugging and assembling of resources required to build an application. Python, as well as Java SDKs, are provided, which forms a wrapper around favoured frameworks, like TensorFlow, Scikit-learn, H2o, Weka, etc.

Co-innovation motivates the teams to contribute in working towards the goals. It also plays an important role in collaboratively working on potential solutions. The speed of co-innovation enables rapid insights into the dynamic changes and developments in the industry. It also helps in resource sharing, keeping the professionals well informed.

Expertise of business knowledge and understanding contributes to efficient management. ML Ops helps to deploy and maintain ML models efficiently. Data scientists and operational professionals collaborate to speed up model creation, implementation and help manageML production lifecycle.

Our services can be directly deployed for easy data ingestion, cleansing, and visualization. INTELLIHUB services are capable of handling ever-growing volumes and complexity of data. Tools can handle big volumes of batch, data streaming, and interactive jobs.

Machine learning models are catalysts to the development of enterprises. Deploy and embody ML-Models that are viable and possess sufficient integrity to generate meaningful insights that contribute to the growth of your business.

Regulatory uncertainties and ethical issues dampen the pace of AI adoption. INTELLIHUB provides a transparent framework, maintains user data privacy, and builds models with GDPR compliance strategy.