Machine Learning

Scaling Your Business With Machine Learning

Our Machine learning services are designed to help organizations in solving key business challenges. Our machine learning solutions enable data-driven decision making and creating innovative business models by leveraging the power of advanced algorithms.

We are passionate about leveraging AI and ML technologies to solve real-world challenges. We create future-ready ML-powered applications by using techniques like pattern recognition, computational intelligence, nature-inspired algorithms and mathematical optimization.

We help our clients improve their outcomes with machine learning. Our team of experts has experience in various industries and business domains, leveraging machine learning for custom applications.

Our machine learning capabilities have been applied to real-world problems and have been deployed on live applications. Our core competence is the development, optimization and deployment of machine learning systems over large data sets using big data technologies.

Our machine learning service offerings

Deep Learning

Soluction’s GPU-accelerated deep learning solutions helps clients to discover new ideas and processes, as well as adapt to mercurial business scenarios. We promise to deliver deep learning services that foster superior business models, improvised products and innovative services.

Natural language processing

Our natural language processing services help companies provide enhanced natural language understanding and richer user experience. We can do this by providing text classification, sentiment analysis, language identification, document summarization or machine translation to your company.

Natural language processing is considered to be the next big step in computing. By allowing users to communicate with machines like they would with other humans, they will be able to interact with our technology in a more natural way.

Video analytics

Video analytics is the process of analyzing digital video content to extract data that can be used for marketing and other purposes. The most common uses for video analytics are measuring viewership (number of people who have seen a particular video), identifying which videos are performing best, and tracking changes over time. Video analytics can also be used to improve the quality of videos by detecting and preventing problems before they occur.

Video analytics has many benefits for businesses. For example, video analytics can help measure engagement (how much time viewers spend watching a video) and viewership (the number of people who have seen a particular video). This information can be used to determine which videos are performing best and how to improve them. Video analytics can also help identify problems before they occur, such as when a video is not loading properly or someone is cheating on an exam. In some cases, this information can be used to prevent theft or cheating.

Image Recognition

Image recognition uses machine learning and computer vision to identify objects, faces and scenes in images. Our image recognition models enable users to detect an object or attribute in an image from an accessible online application written with a set of APIs. With image recognition capabilities, users can identify the attributes such as sentiment analysis, visual search engine, object and face detection, people and object counting, edge detection, etc.

What is image recognition in AI?

Image recognition is the ability of computers to identify and understand the contents of images. This can be done through a variety of methods, including but not limited to facial recognition, object recognition, and text recognition. Image recognition has become increasingly important in AI due to its ability to automate a wide range of tasks and provide users with insights into what is in an image.