Data engineering

UNPRECEDENTED THINKING POWER

Algorithms think & predict like humans

Artificial Intelligence (AI) and cognitive approach promises to provide unprecedented thinking power for businesses with intelligent solutions, devices and robots. Techniques such as regression, support vector machines, and k-means clustering have been in use for decades. However, the recent advances in processing power, combined with exponential data growth are driving faster business adoption of AI.

These technologies can now recognize faces, beat humans in challenging games, read lips and even generate natural language. While the promises of AI and Machine Learning (ML) are attractive, companies struggle to identify the right business fit.

At Imaginea, we have specialized in identifying business use cases based on underlying data structure. We make this possible because of our knowledge in advanced analytical techniques such as neural networks, logistic regression and field-aware factorization machine. With this, we help our partners in building systems that understand, learn, predict and adapt based on the AI capabilities.

SERVICE OFFERING

Predictive Analytics

Predictive Analytics

We are data experts and we help you in predicting your requirements for the future based on historical data. Your present too stays secure as you sense your surroundings and trigger actions, like detecting fraud and taking action in real time. We also bring niche capabilities in ‘Next Product To Buy’ algorithms.

Deep Learning

Deep Learning

We help companies quickly model, train, and deploy deep learning networks to unearth new ideas or improve existing ones. Our experts use deep learning techniques to identify patterns from unstructured data. This data is then used to build commercial grade solutions in areas such as image detection, natural language processing (NLP) and automated content extraction.

Machine Learning

Machine Learning

Our skilled team of data engineers can work on your raw data and build desired outcome models. We use machine learning models based on logistic regression, FFM (Field-aware Factorization Machine), XG Boost to recognize patterns and associations in huge amount of complex data.

Large Scale Data Processing

Large Scale Data Processing

We offer commercial grade solutions for large scale data processing, using fast cluster computing technologies and web-based notebooks such as Apache Spark & Apache Hadoop.

OUR WORKS

FEATURED INSIGHTS

Click Through Rate (CTR) prediction

Self-learning algorithms improve campaign performance by precisely predicting Ad Click Through Rate.

BlogMask-RCNN based object segmentation for measuring human feet.

BlogNeural networks based Deep Learning models and tools for sequence tagging.
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BlogDeep learning analytics to detect images with typographic content.
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