ARTIFICIAL INTELLIGENCE

AI technology has various use cases among different industries. Customer service, marketing and sales, management, security – all of these can benefit from AI development. With Machine Learning, Deep Learning, Natural Language Processing, smart search engines, or predictive models supporting the decision-making processes, AI will change business on a large scale. Our artificial intelligence development team will help you identify the areas that can benefit from artificial intelligence solutions the most and implement them to make sure you get the profits you want.

Recommendation engines

Recommendation engines can be utilized in a variety of areas, including movies, music, books or other products. These engines will:

Personalize offers basing on client’s earlier choices and reviews
Suggest other videos, songs, books etc. that the client will like
Increase conversion rate
Improve customer experience
Increase retention and loyalty

TECHNOLOGY STACK

PyTorch

Open Source computer vision and natural language processing library

Theano

Define, optimize, & evaluate mathematical expressions

Caffe

Deep learning framework made with expression, speed & modularity

Machine learning

Machine learning allows computers to determine rules on how data changes without explicitly programming those rules:

Study available data and analyze clients’ behaviors to discover patterns
Make predictions and decisions based on historical records
Discover similarities or anomalies in data

Predictive analytics

Predictive analytics provides assessment on future trends. Using the available historical data

Reduces churn by identifying the clients who want to leave
Increases sales by suggesting what the client wants to buy and determines how much they will buy
Identifies employees who are likely to leave the company
Predicts demand for resources, product, and inventory
Identifies the risk of breakdowns, failures, malfunction, errors

Natural language processing

NLP lets companies better use language data thanks to effective processing of large amounts of voice or text messages. Natural language processing:

Extracts specific data from long texts (e.g. articles, books, bills)
Automatically processes invoices, orders, contracts
Identifies the writer’s emotions and recognizes hate speech
Improves customer experience with chatbots and virtual assistants

Deep learning

We train computer model to learn and perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers

Python

Build state-of-the-art intelligent models with Python

Keras

Deep learning and fast prototyping

TensorFlow

Solve deep learning or machine learning problems using neural networks