Erfolgsgeschichten

Unsere Erfolgsgeschichten zeigen KI-Teams, die MLOps-Herausforderungen erfolgreich meistern. Erfahren Sie, wie Omega-ML selbst kleinen Teams hilft, maschinelles Lernen zu nutzen, End-to-End-Anwendungen bereitzustellen und so nachhaltigen Geschäftserfolg zu erzielen.

Finance

A Swiss regional bank uses omega-ml to tackle MLOps and integrate AI solutions in on-premises banking applications

Tech Startups

A Swiss AI-tech startup leveraged omega-ml to go to market in just a few months, Without prior engineering skills

AI Consulting

omega-ml helped to turn a science team into a well-organized solution delivery organisation with minimal cloud investment

Cloud

omega-ml has been deployed to private and public clouds, including Azure, AWS, Rancher and OpenShift

Whitepaper

MLOps ist für die KI-Bereitstellung unerlässlich. Unsere Whitepaper betonen Effizienz durch die nahtlose Zusammenarbeit zwischen Datenwissenschaftlern und IT-Teams. Nutzen Sie diesen Ansatz, um in der sich entwickelnden KI-Landschaft erfolgreich zu sein.

MLOps as a Platform

MLOps is both a process and a platform. omega-ml is "MLOps simplified" and adopts to any process, framework, and company

MLOps Architecture

omega-ml's unique end-2-end architecture provides DevOps teams with an easy to integrate & manage MLOps solution

AI Monitoring

AI systems require continuous monitoring and quality assurance. omega-ml provides an integrated audit log and dashboard

AI Governance

AI governance is required by the EU AI Act and by industry regulators like the Swiss FINMA. MLOps is key to deliver compliant AI