Artificial Intelligence (AI)

Artificial Intelligence (AI)

Artificial Intelligence

Machine Learning, NLP, Computer Vision, etc.
Across various industries and applications.

The AI revolution is upon us, and it’s never too late – or too early – to integrate AI into your software platform.

Pattern detection, anomaly detection, sentiment analysis, predictive analysis, photo recognition – these are just some of the types of AI-powered elements that Convergence engineers. And it’s easier than you think to get started.

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A Sampling Of Our AI Technologies

Spark
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Hadoop
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PyTorch-logo
TensorFlow1
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Developing AI Applications

With the Rapid growth in Artificial Intelligence and its benefits in the ability to simulate human intelligence and carry out tasks through deep learning and replicating human behaviour has become very useful. These key aspects can be incorporated into daily applications such as self driving cars. InnoApps Inc is more than capable of producing such AI solutions for businesses and companies that require them in any sort of application.

Analytics & Data Collection

Artificial Intelligence can play a critical role in collecting data and analyzing it through machine learning. Being able to easily collect loads of data, analyze it and produce reposts of repetitive patterns, and statistics could play a crucial role in companies that deal with a lot of data and information and making this process a ton easier for them.

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Applications of AI / AI Applications

With the vast advantages of Artificial Intelligence, they are being integrated in almost every aspect of society from the chatbots we communicate with to facial recognition biometric security added to our phones. Unlike computers or programs, Artificial Intelligence is able to evolve, allowing it to learn and better become part of modern society rather than go obsolete. 

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