Machine Learning

Do more with machine learning

Business outcomes are best tackled in a data-driven manner. Most of us understand that, in order to be useful, data must be cleaned, processed, warehoused and mined. Now, we can take another giant step forward with artificial intelligence. AI technologies, particularly deep machine learning, can help create unique competitive advantage for industrial sector. We help analyze data across sensors, sales, marketing and operations to yield tangible fact-based solutions to business problems.

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Featured Use Cases


Natual Language Processing (NLP) can help derive powerful insights from conversational and unstructured data across a diverse range of channels.


Visual machine learning models can help extract a gold-mine of understanding about logistics, transportation, security and safety.


Time-series models, when combined with sensor data, can provide unique insights into operational and other maintenance problems.


Omni-channel analysis of social data can yield valuable insights into consumer behavior and their sentiments to your brand.

Security, Safety and Compliance Monitoring

Visual intelligence can be applied to video files and live video streams to look for security, safety and compliance risks. It can also help greatly with operational monitoring.

Visual intelligence and video content analytics (VCA) can be applied in almost all Industry 4.0 settings and scenarios and can work with existing video repositories and CCTV infrastructure.

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Sensor Data Patterns and Anomalies Detection

Data from a diverse array of industrial-grade sensors can be analyzed by machine learning models to detect patterns and anomalies.

Such analyses can help save time and improve profitability in industrial settings.

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Omni-Channel Sentiment Analysis and Brand Awareness

Omni-channel data from social media, news and other public and proprietary¬† sources can be ‘understood’ by machine learning models to reveal brand awareness, consumer sentiment, and potential factory recall class issues for Industry 4.0.

Such analyses can help the triple bottom-line of the industrial organization.

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