Zetta Cloud is announcing a major release of its flagship “no code” Machine Learning platform AI Factory, version 2.0. The new release aims at bridging the gap from data to production for Text Analytics AI engines, with unprecedented ease of use designed for both machine learning professionals and non-technical business users.
AI Factory is an end-to-end platform for building and deploying AI Text Analytics engines, in a secure manner. The solution consists of “Factory No-Code” machine learning dashboard that allows business users to create or adapt NLP engines for Classification and Named Entity (NER) tasks and deploy them into production as Docker containers, and “IntelliDockers“, a suite of prebuilt and adaptable out-of-the-box Text Analytics Docker containers able to perform multiple tasks across more than 40 languages.
Major functionality improvements are notable both in the Machine Learning dashboard (Factory No-Code), with features designed for ease of use and productivity, and the production-ready text analytics engines (IntelliDockers).
What’s new in AI Factory 2.0
Machine Learning: Factory No-Code
Hyperparameter optimization through “AutoMagical Settings”: Read more.
Adaptable Classifiers: Fine-tuning of pre-trained Transformer models. Read more.
Multi-label classification Trainer capability. Read more.
Fine-tuning of cross-language (XLU) models, transferring knowledge from one language to others. Read more.
Training data import for folder structures.
Production AI Engines: IntelliDockers
Machine Translation engine capable of processing more than 50 languages, in any combination: Read more.
Hardware optimizations for high throughput data processing: Read more.
SSL support and API key authentication for the production Docker containers.
Web user interface for Classifiers and NER engines.
New input file formats supported: pdf, .docx, .pptx, .rtf.
With Factory 2.0 we continued to implement our Democratizing AI manifesto and significantly improve the capabilities and user-friendly approach of our no-code Machine Learning platform. Even though AI continues to become an important topic for most companies, adoption in to production environments has not progressed according to expectations. The main reason for this is that the end-users of AI systems, the company business users, are still too disconnected with current technology offers that do not provide the productization levels, the security or the ease of use required. We have embarked on a journey to make AI accessible to users on their own terms, in their infrastructure, for their own data and use-cases, and most importantly, to make it accessible to non-technical users. With the latest AI Factory release we are closer to this goal, as creating machine learning engines for document-oriented process automation has never been easier.
Emil Stețco, CEO of Zetta Cloud
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