PadSquad Deploys the Iguazio Data Science Platform to Predict Ad Performance in Real-Time
Data gravity and privacy concerns require federated solutions across public clouds and multiple edge locations. Edge solutions allow users to ingest, analyze and quickly act on large volumes of data. However, up until now they required significant development efforts and did not take full advantage of the vast resources running in the cloud. Iguazio’s Intelligent Edge is the first solution which seamlessly extends the cloud experience to the edge.
The Intelligent Edge is cloud-native, with self-service management of data services, AI tools and serverless automation running on Kubernetes, and therefore enables real-time local analytics and actions. This reduces bandwidth costs by sending only critical information to the cloud for further analysis.
The Intelligent Edge provides high connectivity to the cloud, enabling end-to-end AI applications which leverage elasticity in the cloud and performance and reliability at the edge. In the cloud, customers manage edge provisioning and monitoring, build and train machine learning models and easily deploy them to the edge.
Various industrial use-cases require decisions in fractions of seconds, and there just isn’t time to send the data to the cloud and back. Iguazio’s customers process millions of real-time events per second combined with historical data in a small footprint and low cost.
Edge devices can be located in sensitive environments, controlling vital systems or sending private data. Iguazio ensures data privacy and governance across edge, on-premises and hybrid cloud data; fine-grained access control, backups, auditing, service levels and other custom operations.
"Iguazio provides an additional path to run AI on the edge beyond our current Microsoft Azure Machine Learning inferencing on the edge."
Principal Group Product Manage
"We are excited to collaborate with Iguazio to deliver a solution that enables real-time analytics of store data, all centrally managed from Google Cloud.”
Group Product Manager