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Solutions

what we do

requirements and idea

Understanding the business requirements and evolution of data science solutions idea.

concept and design

Convert the idea into a business solutions design.

development and testing

Development of the data science project and testing of the output.

proof of concept

Demonstrate the business idea by performing POC.

implementation and deployment

Implement the AI solution into staging and production environments for business consumption.

management and support

Help to manage the production environment and provide technical support.

smart cities

AI algorithms are becoming an integral part of Smart City initiatives that aim to automate and improve a wide range of municipal activities and operations. These programs differ widely from case to case but most of them generally share the goals of improving living conditions, making cities more competitive and making them more environmentally sustainable.

predictive maintenance

Predictive maintenance is a maintenance strategy driven by predictive analytics. The solutions are used for detecting failure patterns or anomalies, but are only deployed when there is high probability of imminent failure. This helps in deploying limited resources, maximizing device or equipment uptime, enhancing quality and supply chain processes, and thus improving the overall satisfaction for all the stakeholders involved.

forecasting

Using artificial intelligence (AI) and machine learning to improve forecasting is one of the most promising applications of AI. The technology “learns” from past experience and can analyze the multitude of complex relationships and factors that influence demand or load.

deep learning

Deep learning is a subset of AI and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, language translation and others.

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machine learning

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

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distributed cloud computing

Distributed cloud computing is the computing process where the AI systems have distributed data sources and also distributed real time processing from the core to the edge.

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let's work togetheroo

We will assist you in every stage of your data science and AI project lifecycle.