G-Core Labs, an international CDN provider delivering cloud and edge solutions, has unveiled an AI platform that is part of the company’s public cloud. It would allow business and development teams to significantly reduce the time-to-market of their applications based on artificial intelligence (AI).
This AI 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. This will include the U.S., 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,” said Vsevolod Vayner, G-Core Labs head of cloud platforms. “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 to 3 times in comparison to if they had to set up the entire infrastructure on their own.”
G-Core Labs’ AI platform integrates all “modern” solutions for receiving and processing data. These include Kafka, Storm, Spark, PySpark, PostgreSQL, MS SQL, Oracle, and MongoDB. It has data exploration and visualization tools, such as Matplotlib, Seaborn and TensorBoard. Next to that, it comes with numerous development tools. These include Jupyter, PyCharm, Visual Studio Code, GitLab, GitHub, RStudio, XCode, and Airflow.
Healthcare, Video Surveillance, Supermarkets
The G-Core Labs AI platform opens up opportunities for projects related to the recognition of people, images, objects and documents. Such applications would 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. They could also collect accurate data on how many people visit the store each day, week, month or quarter, and how many were men or women. Or data with their approximate age and the products they paid attention to first. While collecting data about whether visitors left the store satisfied or not could also be an option.
When it comes to healthcare, the G-Core Labs 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.
“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,” added Vsevolod Vaynid. “This will provide great, new opportunities for advertisers.”