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Honeywell launches online store to streamline access to business-critical software ••• Smart Packaging Solutions intros prelaminate to simplify payment card manufacturing ••• ADLINK partners with Google Cloud to offer IoT-ready solutions ••• Packet launches automated IoT service with Microsoft Azure ••• C3 releases development environment for enterprise AI.
C3 Releases Development Environment for Enterprise AI
C3, an enterprise AI software provider, has introduced its 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, as well as a metadata-driven UI development tool. The hybrid, multi-cloud distributed architecture of C3 IDS enables secure, highly available, and rapidly scalable application development, according to the company.
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 and Scikit-Learn, 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 and task scheduling.
C3 IDS abstracts the complexities of hundreds of cloud platform services (such as AWS RDS, Amazon S3, AWS Kinesis, Azure Event Hubs, Amazon DynamoDB, Azure IoT Hub, Google BigQuery and Google Cloud ML Engine) and thousands of developer tools (for instance, Jenkins, Apache Maven, Puppet and GitHub) 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 to collaborate with others who prefer writing code.
"C3 has invested $500 million over the past nine years in building the C3 AI Suite, simplifying the ability to develop AI-based applications and reducing the underlying complexities," said Ed Abbo, C3's president and chief technology officer, in a prepared statement. "Using the C3 AI Suite, a small team of developers and data scientists can build complex AI applications and roll out large-scale systems with efficiency and accuracy in just months. With C3 IDS, we have taken another step to speed the delivery and economic value of enterprise AI."
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