Artificial Intelligence Solutions
We are expertized on building end-to-end data science pipeline required for Data Analytics, creating ML models, and for business intelligence. We offer expertised engineering services and solutions on various domains.
Design-led engineering- Quick response to change
- Fast go-to-market approach
- Agile led processes
- Partners rather than vendors
- Scalability plans from the beginning
Artificial Intelligence Technology
Tensorflow
Scikit learn
Theano
Theano
Vision Technology
Vision Technology
Natural Language Processing
Machine Learning
The Rise of Machine Learning
Machine learning is a revolutionary technology that enterprises are currently deploying to drive business results. As a seasoned Machine Learning solutions and service provider, Promact explores effective ways to enhance efficiency and implement smart ways to lower business risks.
The Rise of Artificial Intelligence
Artificial Intelligence is a revolutionary technology that enterprises are currently deploying to drive business results. As a seasoned Artificial Intelligence solutions and service provider, Promact explores effective ways to enhance efficiency and implement smart ways to lower business risks.
Real-time data science with AI
Key building blocks for applying artificial intelligence in enterprise applications are data analytics, data science and machine learning, including its deep learning subset. Promact helps you to leverage data science to build and modify AI applications in order to obtain information from huge data clusters and data sets.
Our Artificial Intelligence Process
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01
Analysis
Detained analysis to identify if the client’s problem is AI or ML related.
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02
Discovery
Studying every aspect to understand the problem area.
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03
Algorithm Selection or Creation
Identifying the correct algorithm to solve the client’s issue or creating one if needed.
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04
Self Learning
The algorithm self learns and improves its efficiency.
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05
Deployment
Deploying the AI solution at the client’s end.
- 01
- 02
- 03
- 04
- 05
-
Analysis
Detained analysis to identify if the client’s problem is AI or ML related.
-
Discovery
Studying every aspect to understand the problem area.
-
Algorithm Selection or Creation
Identifying the correct algorithm to solve the client’s issue or creating one if needed.
-
Self Learning
The algorithm self learns and improves its efficiency.
-
Deployment
Deploying the AI solution at the client’s end.
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