G-Core Labs, an international provider of cloud and edge solutions, announces the launch of an AI platform that is part of the company’s public cloud and allows business and development teams to significantly reduce the time-to-market of their applications based on artificial intelligence.
The platform supports a full machine learning cycle of any complexity, allowing you to organize continuous delivery of models, collaborate on them in real time and access a catalog of ready-made templates and models.
The platform is currently based in Luxembourg. In the future, G-Core Labs plans to deploy it in all existing and promising regions of presence of the company’s public cloud, including the USA, Germany, Russia, Singapore, Brazil, and Australia.
“The G-Core Labs AI platform is a single comprehensive portal for the accelerated building, training, and deployment of applications based on artificial intelligence,” says Vsevolod Vayner, G-Core Labs head of cloud platforms.
He continues: “The platform works on the one-stop-shop principle so that any developer can fully concentrate on the development of their ML models and services without worrying about preparing infrastructure, purchasing necessary software, getting set up, and providing frameworks, data storage systems, and technical support for all these elements. Thanks to this, according to our estimates, companies and teams that work on products and models based on machine learning can speed up development 2–3 times in comparison to if they had to set up the entire infrastructure on their own.”
The AI platform integrates all modern solutions for receiving and processing data: Kafka, Storm, Spark, PySpark, PostgreSQL, MS SQL, Oracle, MongoDB. It has data exploration and visualization tools, such as Matplotlib, Seaborn and TensorBoard, along with numerous development tools: Jupyter, PyCharm, Visual Studio Code, GitLab, GitHub, RStudio, XCode and Airflow.
The G-Core Labs AI platform opens up great opportunities for projects related to the recognition of people, images, objects and documents. Such applications will be useful in the retail, finance, insurance and media industries, in addition to the fields of healthcare and public safety.
For example, supermarket chains or fashion clothing stores can use a video surveillance system and an AI-based service to create a reliable profile of their visitors and customers in real time, as well as collect accurate data on how many people visit the store each day, week, month or quarter, how many were men or women, what their approximate age was, which products they paid attention to first, and, finally, whether the visitors left the store satisfied or not.
When it comes to healthcare, the AI platform can help create algorithms for analyzing medical images, including X-rays, ECGs, and EEGs, thereby significantly increasing the accuracy of diagnoses in comparison to conclusions made by doctors independently.
Also, applications for recognizing people and objects are beginning to be widely used in the media industry. “G-Core Labs development teams are currently working on AI-based products that allow an Internet user or a TV viewer, for example, to receive information in one click about the actors and landmarks in the frame, the players on a basketball court or football field, or the dress or watch an actor is wearing,” says Vayner. “This will provide great, new opportunities for advertisers.”