JADBio AutoML

g.nome, a cloud-native platform that delivers streamlined, scalable, and interoperable workflows for next-generation sequencing analysis. g.nome provides a low-code/no-code pipeline build. With pre-built workflows and toolkits from a curated library, g.nome is giving power to researchers — enabling them to import custom code, handle big datasets reliably, and optimize team collaboration from anywhere. With g.nome, long-time barriers linked to workflow language, process flow visibility, and quality control are removed. All that’s left are streamlined, scalable, and interoperable genomic workflows — leaving research teams to do what they do best: focus on the science.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.