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C3 Introduces the Integrated Development Studio for Enterprise AI Applications


C3, an enterprise AI software provider for accelerating digital transformation, is introducing the C3 Integrated Development Studio (IDS), a low-code/no-code environment for developing, deploying, and operating enterprise AI applications.

IDS provides data ingestion, data modeling, machine learning feature engineering and model lifecycle management, and a metadata-driven UI development tool. The hybrid, multi-cloud distributed architecture of C3 IDS enables secure, highly available, and rapidly scalable application development.

C3 IDS delivers an improved developer experience through a low-code/no-code environment that accelerates developer velocity, an important capability for building complex enterprise-scale applications on the C3 AI Suite.

C3 IDS allows developers and data scientists to focus on solving business problems by providing a single integrated environment that abstracts routine and complex application development tasks, through four environments:

  • C3 Data Studio: Ingest data of any kind and size through a browser-based interface; process, query, and plug the data into applications; connect to existing databases; define transformations; and develop or extend application objects (e.g., data model, analytics, algorithms, UI). Developers can also extend prebuilt industry and functional application packages to accelerate development.
  • C3 App Studio: Develop analytics through a visual interface and a metadata-driven UI Designer to develop an application front end.
  • C3 ML Studio: Manage prebuilt machine learning pipelines, machine learning model development, and hyper-parameter tuning. Integrate all popular machine learning libraries including TensorFlow, Keras, Scikit-Learn, and more, in composable AI/machine learning pipelines.
  • C3 DevOps Studio: Access all essential DevOps functions including source control, continuous integration/continuous deployment as a fully managed service, resource monitoring, queue management, task scheduling, and more.

C3 IDS abstracts the complexities of hundreds of cloud platform services (e.g., AWS RDS, Amazon S3, AWS Kinesis, Azure Event Hubs, Amazon DynamoDB, Azure IoT Hub, Google BigQuery, Google Cloud ML Engine, etc.) and thousands of developer tools (e.g., Jenkins, Apache Maven, Puppet, GitHub, etc.) to allow developers and data scientists to focus on the business problem they are solving. 

C3 IDS is fully integrated with the C3 AI Suite, allowing users of this low-code/no-code environment to collaborate seamlessly with users who prefer writing code.

For more information about this release, visit https://c3.ai/.


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