Machine learning

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Artificial intelligence

Artificial intelligence (AI)

Artificial intelligence (AI), becomes one of the most important technologies of our time. It refers to the field of computer science that creates a system which is able to perform human-like tasks, such as speech and text recognition, learning, and problem-solving. With this technology, computers can accomplish specific tasks by analyzing huge amounts of information.

By uncovering insights and streamlining operational processes ML empowers companies to leverage speech recognition, predictive analysis, recommendation engines, and chatbots.
We can help you to build, train, and deploy machine learning models at any scale for a wide variety of applications and workflows. Using the latest versions of ML and deep learning frameworks and tools. we can handle all the complexity that gets in the way of building and implementing ML applications.

Use machine and deep learning algorithms to tackle your Big Data, and get valuable insights into your operations. Create AI-based predictive models for fail-safe decision making.

Artifical Intelligence

We can become an integral part of your development team at any stage of the software development life cycle

From the day one you will get the members of the team trained to integrate seamlessly into your development process to let it run smoothly and scale accordingly to meet delivery and timeframe goals.

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Some additional perks of using AI

Predictive analytics

AI-powered systems offer predictive analytics that allows companies to make more accurate predictions and thus drive enhanced performances. AI systems analyze huge amounts of data from various internal and external sources and make forecasts that improve customer experience by enhancing personalization rate, product and search recommendations.

Data mining and error detection

AI systems monitor and analyze sustainability data and then compare them to prescribed parameters in order to detect errors or areas that require special attention. If the system detects a problem or an error, it generates a warning.

Categorization of data

By applying different algorithms, AI systems analyze huge amounts of data and then categorize them in order to enable more accurate search results. This makes companies operations more efficient and time-effective.

Advantages

The most substantial advantages of Machine Learning.

Some perks of using Machine Learning

Fast processing and real-time predictions

Using ML systems enables companies to make more accurate predictions and drive improved performances. ML-powered systems can analyze a huge amount of data from various sources inside and outside the organization at a rapid pace, making forecasts based on the analyzed information. This can improve customer experience by enhancing personalization rate, product and searching recommendations.

Latest Technology

To deliver effective ML applications, we use up-to-date ML frameworks, such as Tensorflow and Numphy along with Python-driven libraries to power a variety of supervised, semi-supervised, and unsupervised ML models for enterprise solutions. Besides, in designing our fast model training applications we use top set of platforms such as Amazon SageMaker, Azure ML studio and services, Google ML Engine, and Watson ML Studio.
Project: Development of AI for Retail Image Recognition System

Ukrainian development HUB developed a turnkey project. The integration enabled fast movement. The team was very communicative and the project was successful.
Hardware Department Head, OUTFORZE