If you need AI software that offers an automated pipeline for data processing and deployment, with a focus on quick and secure integration, Matillion is a good option. It offers no-code ELT (Extract, Load, and Transform) abilities, cloud-native architecture and a range of data connectors. It also can automate and schedule pipeline jobs, making it a good option for data teams in financial services, health care and tech.
Another good option is UbiOps, an AI infrastructure platform that runs AI and machine learning workloads as secure microservices. It's designed to be easy to use, fast and scalable, and can orchestrate hybrid and multi-cloud workloads. UbiOps also has good security and can be integrated with popular tools like PyTorch and TensorFlow, so it's good for people with or without MLOps experience.
For a broader option, SnapLogic offers an all-in-one data and application integration platform. It includes SnapGPT for AI-powered translations and Snaps for code-free integration. SnapLogic can handle data integration, application integration and has enterprise-level security and governance, so it's good for many industries and roles.
Last, Airbyte is an open-source data integration platform that can move data from more than 300 sources to many destinations. It has features like Connector Builder for custom connectors and Automated Schema Evolution for efficient data capture. Airbyte also has good security and flexible deployment options, so it's good for big and small data integration projects.