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C3 AI Suite
C3 AI - Model Suite - Unique Model-Driven Architecture Software
The C3 AI® Suite uses a unique model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise AI applications. The C3 AI model-driven architecture provides an “abstraction layer,” that allows developers to build enterprise AI applications by using conceptual models of all the elements an application requires, instead of writing lengthy code.
C3 AI Suite - AI/ML Development
C3 AI Suite - Data Operations Software
The C3 AI Suite enables persistence, processing, and representation of data objects as time series, including the ability to normalize or calendarize data (e.g., time-align data or retrieve time series at different time intervals). Data scientists and developers can identify and flag gaps in data and manage data that are received out of sequence.
C3 AI Suite - Data Exploration Software
Access up-to-date data from a unified data model across the organization. Loaded and virtualized data sources are available without writing complex joins, regardless of the persistence technology. Quickly access and explore raw data files uploaded to a Notebook or file system like Azure Blob storage, AWS S3, or on-premise SSD. Use pre-build no-code interfaces for viewing data, or code your own visualizations and data quality checks, productize your work as a reusable API that the whole team can access from Jupyter or any client.
C3 AI Integrated Development Studio
C3 AI - Model Data Studio - Integrated Development Studio Software
C3 AI Data Studio provides data engineers, data scientists, and business analysts with a low-code / no-code environment to rapidly explore disparate data sources and model them into a unified, common, and extensible data image. Built using the model-driven architecture of the C3 AI Suite, C3 AI Data Studio provides over 25 pre-built connectors to commonly used data stores, file systems, queuing, and streaming systems to populate a unified data image using both data ingestion pipelines and data virtualization mechanisms.
C3 AI - Model ML Studio - Low-Code / No-Code Collaborative Development Software
C3 AI ML Studio is a low-code / no-code collaborative development environment where data scientists can rapidly design, train, and deploy AI / ML algorithms at scale across the enterprise. C3 AI ML Studio is part of the C3 AI Integrated Development Studio (IDS), placing data science work at the core of the AI application development lifecycle, with access to all upstream and downstream workflows like data management and application user interface development.
C3 AI - Integrated Development Applications Studio Software
C3 AI Applications Studio enables end-to-end application development using a low-code / no-code visual interface through the UI Designer toolkit. UI Designer lets non-technical users design and build end-to-end application user interfaces, including page layout and navigation. Users can choose from a rich library of individual components and configure component attributes, data, and interactions with ease.
C3 AI DevSecOps Studio - Release Management Software
C3 AI DevSecOps Studio allows developers to manage the comprehensive application release process through the Release Management toolkit. Release Management allows developers to follow the GitFlow workflow of software development. Developers can see builds and the associated test results across different branches of their code repository. Users can toggle between the Develop, Release, and Master branches inspecting the pass rate and success of each build.
C3 AI Marketplace - Integrated Development Studio Software
C3 AI Marketplace allows third-party ISVs, SIs, and developers to build and share packages on the C3 AI Suite and customers to find, purchase, and add purchased packages to their applications. The C3 AI Marketplace is available to all C3.ai customers through C3 AI Integrated Development Studio.
C3 AI Applications
C3 AI - Anti-Money Laundering Software
C3 AI® Anti-Money Laundering is an AI-enabled, workflow-centric application that uses comprehensive machine learning techniques to reduce false positive alerts while increasing true Suspicious Activity Report (SAR) identification. Money laundering and illegal activity financing strategies are dynamic, fast moving challenges for compliance organizations across the financial crimes sector. The rising risks associated with money laundering, combined with constantly evolving regulatory requirements, have defined the need for intelligent software solutions that can accurately identify, prioritize, and report suspicious activity, while simultaneously reducing the number of false positives.
