Entorno de autoservicio, sin códigos y adaptado al sector

ML Studio simplifies building, deploying, and scaling AI models

Herramientas específicas para el ciclo de vida del flujo de trabajo del proceso de ML industrial

Estudio MLOps

Synchronizing machine learning processes with ML Studio

Presentación de MLOps 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.

La agrupación de modelos desplegados por instancia permite una gestión eficiente a escala, lo que permite una mejor organización y accesibilidad de los activos y modelos de IA. Esta función es crucial para las empresas que pretenden aprovechar el aprendizaje automático en múltiples sistemas, proporcionando un marco de procesos claro y organizado para impulsar la productividad y agilizar las operaciones en entornos industriales y de fabricación.

Empowering data and model management with ML Studio

Cargar y explorar datos

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.

Creación de modelos con un solo clic

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.

Creación de modelos con un solo clic

Registro modelo

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.

Despliegue del modelo entrenado

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.

Despliegue del modelo entrenado

Supervisión y alerta

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.

Supervisión y alerta

Recapacitar e iterar

Perfeccione de forma iterativa el rendimiento de los modelos integrando a la perfección nuevos datos en el proceso de reentrenamiento. Los usuarios pueden iniciar el reentrenamiento del modelo a través de una interfaz optimizada, asegurándose de que sus modelos evolucionan junto con las distribuciones y tendencias cambiantes de los datos, mejorando la precisión predictiva y la fiabilidad a lo largo del tiempo. IRIS Foundry permite actualizaciones continuas o nuevos despliegues adaptados a casos de uso industriales específicos, proporcionando la agilidad necesaria para adaptarse a los requisitos empresariales y a la dinámica del mercado en constante evolución.

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.

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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.

fundición iris

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.

fundición iris

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