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C3 launches Integrated Development Studio for speed up AI, machine learning deployments
C3 launched its Integrated Development Studio, a low-code platform to enable developers to build applications for its AI Suite.The effort is a way to make it easier to deploy enterprise-wide models, machine learning and artificial intelligence across multiple clouds. C3 has been one of the forerunners in industrial Internet of things deployments across utilities and large enterprises.C3 said its Integrated Development Studio, or IDS, is integrated with its C3 AI Suite. IDS includes data ingestion, data modeling, machine learning engineering, model management and an interface that leverages metadata and drag-and-drop integrations.According to C3, IDS is designed to speed up building applications over cloud microservices. IDS speeds processes up by abstracting multiple cloud services such as AWS RDS, Amazon S3, AWS Kinesis, Azure Event Hubs, Amazon DynamoDB, Azure IoT Hub, Google BigQuery, Google Cloud ML Engine as well as various developer tools. C3 CTO Ed Abbo said IDS enhances the development experience to streamline things like data aggregation. "Building AI applications to accelerate digital transformations requires a number of roles to collaborate and one key element is aggregating data from internal and outside sources," said Abbo. From there, data scientists can develop models. IDS also has DevOps features to test code and move to productions. "We're bringing those elements together in a unified way," said Abbo.
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