Auf die Branche zugeschnittene, codierungsfreie Self-Service-Umgebung
ML Studio simplifies building, deploying, and scaling AI models
Speziell entwickelte Tools für den Lebenszyklus des industriellen ML-Prozesses
Synchronizing machine learning processes with ML Studio
ML Studio for powerful industrial AI
Elevate industrial AI operations. Designed to manage multiple AI model-building projects seamlessly, ML Studio handles implementing diverse datasets and managing various developmental experiments and deployments, ensuring a streamlined management experience. Deploy pre-trained models directly from extensive libraries tailored for industrial applications, or create custom models with ease using Jupyter Notebook integration.
ML Studio harnesses the power of Kubernetes orchestration to enhance machine learning operations. Experience efficient distributed training, precise hyperparameter tuning, and robust production deployment of ML models. This scalable, unified orchestration optimizes computational resources and simplifies the complex phases of all large-scale ML deployments.
Die Gruppierung der bereitgestellten Modelle nach Instanzen ermöglicht eine effiziente Verwaltung im großen Maßstab und sorgt für eine bessere Organisation und Zugänglichkeit von KI-Assets und -Modellen. Diese Funktion ist von entscheidender Bedeutung für Unternehmen, die maschinelles Lernen über mehrere Systeme hinweg nutzen möchten. Sie bietet einen klaren und organisierten Prozessrahmen, um die Produktivität zu steigern und die Abläufe in Industrie- und Fertigungsumgebungen zu optimieren.
Empowering data and model management with ML Studio
Daten laden und untersuchen
Ease the management of AI datasets by allowing users to handle raw datasets efficiently by creating subsets with selected features and date ranges. Reuse of datasets stored in IRIS Foundry or directly import training sets, simplifying the data preparation phase of ML workflows. Robust data visualization tools include multi-line, histogram, correlation, and box-plot charting to help users view data trends and identify outliers. Use an intuitive interface with single-click options for exploring data through various methods ensuring usability and deep analytical capabilities, whether the data originates from IRIS Foundry or external sources.

Modellbildung mit einem Klick
Designed by technical experts in industrial applications, ML Studio facilitates the precise creation and process management required in training datasets for building AI models. Ensure accuracy and efficiency by comparing models against various testing datasets, and support iterative experimentation with different data pre-processing techniques and configuration parameters, making it easy to manage multiple runs and deployments effectively. Uniquely tailored for the industrial sector, ML Studio requires no coding, allowing process engineers and domain experts to harness its capabilities without specialized programming skills.

Modellregistrierung
Configure deployments, ensure model accuracy, detect contributing factors, faults, and anomalies within a test environment, and more. The ML Studio model registry maintains a comprehensive record and revision history of models, enhancing transparency and facilitating simplified version history tracking. Duplicate models in the testing phase to assess the impact of changes and fine-tune models for optimal performance upon deployment, ensuring quick and efficient AI integrations.

Einsatz des trainierten Modells
Enhance the deployment, management, and scaling of machine learning pipelines and experiments within a unified environment, significantly reducing the need for manual mappings during scaling processes. AI-powered contextualization automatically aligns data from existing asset models to the required parameters. Additionally, AI-model outputs are readily accessible for integration through an open API, facilitating their use in other applications. This openness extends to accessing insights through SymphonyAI’s purpose-built applications and an open API, ensuring seamless integration with existing applications.
Überwachung und Alarmierung
Effortlessly customize alert settings within ML Studio to suit specific needs and industrial use cases. Tailor alert windows and thresholds based on metrics such as data volume and required data points, ensuring timely notifications that match criticality, severity, and volume criteria. Prevent alert fatigue by implementing silent modes that regulate alert frequency during specific events, enhancing user experience. Produce AI models designed for industrial users, offering reliability and trustworthiness, and delivering actionable insights while mitigating alert overload.

Umschulung und Iteration
Verfeinern Sie die Modellleistung iterativ, indem Sie neue Daten nahtlos in den Umschulungsprozess integrieren. Benutzer können über eine optimierte Schnittstelle eine Modellumschulung einleiten und so sicherstellen, dass sich ihre Modelle mit den sich ändernden Datenverteilungen und Trends weiterentwickeln und die Vorhersagegenauigkeit und Zuverlässigkeit im Laufe der Zeit verbessern. IRIS Foundry ermöglicht nahtlose Aktualisierungen oder neue Bereitstellungen, die auf spezifische industrielle Anwendungsfälle zugeschnitten sind, und bietet die Flexibilität, sich an die sich entwickelnden Geschäftsanforderungen und die Marktdynamik anzupassen.

ML Studio Demo
Check out our video demo showcasing ML Studio: an industry-tailored, no-code, self-service environment. Experience how it simplifies building, deploying, and scaling AI models, with purpose-built tools for the Industrial ML process workflow lifecycle.
Alle Produkte erkunden
IRIS Foundry provides data connections, orchestration, unification, and AI modeling to enhance manufacturing efficiency, productivity, and improved decision-making through advanced analytics and machine learning.

IRIS Foundry provides data connections, orchestration, unification, and AI modeling to enhance manufacturing efficiency, productivity, and improved decision-making through advanced analytics and machine learning.
