2020 will be about simplifying the way from data science to production, with an emphasis on bringing real – and scalable - business value.
2020 will be about simplifying the way from data science to production, with an emphasis on bringing real – and scalable - business value.
Yaron Haviv explains serverless and its limitations, providing a hands-on example of using a serverless architecture to simplify data science development and accelerate time to production for data collection, exploration, model training and serving.
Imagine a system where one can easily develop a machine learning model, click on some magic button and run the code in production without any heavy lifting from data engineers…
Data gravity and privacy concerns require federated solutions across public clouds and multiple edge locations. For example, retail stores embed cameras and sensors to track customer purchases, monitor inventory and provide real-time recommendations, but face challenges as forwarding massive volumes of video and sensor data to the cloud for processing is not practical and adds...
The serverless revolution isn’t coming soon, it’s already here! Our recent Serverless NYC 2018 show was packed due to a wide range of great speakers. After a full day of serverless insights, our big takeaway is that serverless looks primed to become the fastest growing new application architecture to be adopted for both new and...
Cloud and SaaS companies invented the notion of micro-services and the “cloud-native” model to gain efficient scaling along with continuous development and operations. Legacy approaches don’t work for global services like Facebook, Google or eBay, which are always on. Containers and Docker were created as the ultimate packaging for such micro-services and new orchestration platforms...