Cloud AI-ML

How Cloud Elasticity helps AI-ML

Discover the power and potential of AI and ML

Flexible access to IT resources without limits

On-demand usage of the infrastructure

Overcome technical challenges like avoiding high latency

Fulfill legal requirements in the corresponding target

Worldwide customer reachability

Affordable test and development of PoCs

Why AI-ML on Cloud

Cloud Services on AI-ML

Machine learning platforms: Native cloud services that enable authoring, executing and managing traditional machine learning models (ex: classification, clustering, regression, etc.)

Natural language processing service: Services that enable the syntactical and sematic analysis of natural language sentences. Some of the common discipline in this category include sentiment analysis, intend analysis, conversation modeling, etc.

Vision analytic services: Services that provide understanding the content of images. Some of the common techniques in this category include automatic image classification, emotion analysis etc.

Speech processing services: Services that enable speech analytic capabilities such as translation, conversion to text, etc.

Knowledge services: Services that complement data with knowledge performing operations such as concept extraction, entity linking etc.

Data insights services: Services that provide insights about target data sources. Some of the common techniques in this category include tradeoff analysis, news analysis, etc.