Machine Learning

AdobeStock_230659696_small.jpg Artificial intelligence (AI) and machine learning (ML) allow businesses to operate quickly, efficiently, and with superior impact—all at scale—empowering managers to tackle multi-dimensional problems that require a non-traditional approach:

  • Optimize costs through robotics process automation

  • Initiate new business models by automating tasks through computer vision, natural language processing, and speech recognition

  • Utilize AI and ML technology to automate system operations, monitor business efficiency, speedy fraud detection, and more

Starting with goal-setting and detailed analysis of your business processes and data sources, we offer scenarios for business process optimization using machine learning algorithms, define the expected results, select technologies, and outline the development scope. Depending on available data and business goals, we offer optimal ML modeling algorithms. We shape models into fully functioning AI solutions or integrate them into enterprise software to augment its capabilities. Our experts ensure that ML solutions operate smoothly within software ecosystems and perform properly without jeopardizing the integrity and operation of deployed systems.

AdobeStock_320215907.jpeg Our team implements recommended systems based on collaborative filtering, and user demographics and preferences. We employ ready-to-use services like Strands, Azure Machine Learning, and Google Cloud, and build solutions from scratch with Hadoop, Spark, and Python Deep Learning libraries. From a languages perspective, Python is our recommended choice for versatile machine learning projects due to its flexibility and stability. With a plethora of ready-to-use frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas, there are almost no ML tasks Python can’t accomplish.