Machine Learning & AI

Do you want to know what your clients do and why? Would you like to get this information before it becomes obsolete? Conventional data analysis implies a delay between data collection and offline batch processing. Machine learning systems are able to harvest & analyze big data and provide insights during user interaction. “On-the-fly” approach offers unlimited opportunities for customer segmentation, precise marketing campaigns, and more. N-iX machine learning and AI engineers have vast experience with real-time data mining and custom machine learning algorithms behind it.

Artificial neural networks or deep learning systems are good at analyzing highly unstructured data. These systems discover behavioral patterns that humans and conventional software designs cannot identify. Deep learning is great at crunching big data sets with a massive number of variables. N-iX specialists integrate neural networks and artificial intelligence libraries to software solutions. We utilize complex ready-to-use deep learning packages and customize them to match the precise objectives of your development project.

N-iX has experience in natural language understanding and connecting language with machine perceptions. Our AI engineers created a system that analyzes customer reviews in Twitter and automatically identifies whether the review is favorable, neutral, or negative. N-iX also constructed a complex machine learning algorithm that studies patients’ medical history and predicts what treatment they might require.

Chatbots are a special use-case for natural language processing. This technology is widely used in sales, information acquisition, and automated customer service. N-iX developers create efficient multi-purpose chatbots for retail, telecom, and other industries. We use state-of-the-art machine learning and AI algorithms that automate user interactions, cut costs and boost sales.

Machine learning algorithms are incredibly good at recognizing corrupt financial activities. They analyze user actions and distinguish between various types of transactions. N-iX creates custom self-taught solutions that track anomalies on the fly and flag suspicious behavior. These systems accurately detect frauds and other criminal activities.

Much like with financial security, machine learning systems examine how users access corporate data and categorize behavioral patterns. Self-taught algorithms recognize user activities that might put valuable data at risk and act to isolate them. N-iX can help you build a rigid cybersecurity system that identifies and prevents security breaches in real-time. Such systems can become a necessity in the near future. Hackers already actively use machine learning to crack conventional cybersecurity barriers.