{"id":25651,"date":"2025-07-18T05:48:06","date_gmt":"2025-07-18T05:48:06","guid":{"rendered":"https:\/\/www.novotek.com\/at\/?p=25651"},"modified":"2025-07-18T05:57:11","modified_gmt":"2025-07-18T05:57:11","slug":"highbyte-intelligence-hub-4-2-industrial-ai","status":"publish","type":"post","link":"https:\/\/www.novotek.com\/at\/news\/highbyte-intelligence-hub-4-2-industrial-ai\/","title":{"rendered":"HighByte Intelligence Hub 4.2 \u2013 Industrial AI & DataOps praxisnah skalieren"},"content":{"rendered":"
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Mehr Struktur und Kontrolle f\u00fcr KI und Datenarbeit in der Produktion<\/h2>\n<\/div>\n\n
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Mit Version\u202f4.2 hebt HighByte<\/a> den Intelligence Hub<\/a> auf das n\u00e4chste Level \u2013 und bringt zahlreiche Neuerungen, die speziell f\u00fcr den Einsatz im industriellen Produktionsumfeld mit Fokus auf KI, DataOps und DevOps entwickelt wurden.<\/p>\n<\/div>\n\n

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Model Control Protocol: Der sichere Datenzugriff f\u00fcr KI-Agents<\/h2>\n<\/div>\n\n
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Ein zentrales Highlight der neuen Version ist die Einf\u00fchrung einer Schnittstelle basierend auf dem Model Control Protocol (MCP). Damit k\u00f6nnen zum ersten Mal KI-Agents und andere Anwendungen gezielt auf strukturierte, kontextualisierte Datenmodelle zugreifen, ohne direkt an die Datenquellen (wie OPC UA, MQTT, SQL usw.) angebunden zu sein. Das er\u00f6ffnet v\u00f6llig neue M\u00f6glichkeiten: etwa, um Produktionsdaten aus dem MES, CMMS oder von Maschinen einfach per API bereitzustellen \u2013 historisch oder in Echtzeit.<\/p>\n<\/div>\n\n

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Automatisiertes Tag-Mapping mit LLMs spart Zeit<\/h2>\n<\/div>\n\n
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Gleichzeitig setzt Version\u202f4.2 auf eine verst\u00e4rkte Unterst\u00fctzung von DataOps-Workflows. So lassen sich beispielsweise neue Dateninstanzen durch eingebundene LLMs automatisch analysieren und aufbereiten. Besonders praktisch bei OPC-UA-Strukturen mit hunderten von Tags \u2013 denn diese werden nun mithilfe von KI automatisch gruppiert, benannt und bestehenden Modellen zugewiesen. Das spart enorm Zeit bei der Modellpflege und reduziert manuelle Fehlerquellen.<\/p>\n<\/div>\n\n

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DevOps-Funktionen bringen Kontrolle in grosse Datenprojekte<\/h2>\n<\/div>\n\n
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Auch in Sachen DevOps bringt die neue Version entscheidende Fortschritte. Ab sofort lassen sich Konfigurationen per Git versionieren \u2013 \u00c4nderungen k\u00f6nnen nachvollzogen, dokumentiert und zentral verwaltet werden. F\u00fcr den produktiven Betrieb in gr\u00f6sseren Umgebungen ist das ein wichtiger Schritt in Richtung kontrolliertes Rollout und Release-Management. Zudem sorgt die Integration von OpenTelemetry f\u00fcr umfassendes Monitoring der Systemressourcen, Logs und Pipeline-Performance \u2013 ein echter Mehrwert f\u00fcr Wartung und Betrieb.<\/p>\n<\/div>\n\n

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Mehr Konnektivit\u00e4t<\/h2>\n<\/div>\n\n
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Man hat die Liste der unterst\u00fctzten Systeme ebenfalls erweitert. Neu dabei sind:<\/p>\n<\/div>\n\n

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    \n
  • ein nativer Databricks-Connector mit Unterst\u00fctzung f\u00fcr das Parquet-Format und Unity Catalog<\/li>\n<\/div>\n\n
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  • vollst\u00e4ndige Integration von TimescaleDB f\u00fcr Zeitreihen- und relationale Daten<\/li>\n<\/div>\n\n
    \n
  • verbesserte Konnektivit\u00e4t f\u00fcr Oracle (inkl. Change Data Capture), Snowflake, Amazon S3 und Apache Kafka<\/li>\n<\/div>\n\n
    \n
  • zus\u00e4tzliche Funktionen f\u00fcr bestehende Systeme wie das AVEVA PI System, CSV-Importe, MES-Schnittstellen u.\u202fv.\u202fm.<\/li>\n<\/div><\/ul>\n<\/div>\n\n
    \n
    <\/div>\n<\/div>\n\n
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    Ideal f\u00fcr moderne Produktionsumgebungen<\/h2>\n<\/div>\n\n
    \n

    HighByte 4.2 bietet somit alles, was moderne Fertigungsunternehmen brauchen, um skalierbare, sichere und KI-bereite Dateninfrastrukturen aufzubauen. Von der Konnektivit\u00e4t \u00fcber die Modellierung bis zur Governance wird eine durchg\u00e4ngige L\u00f6sung geboten \u2013 mit klarer N\u00e4he zur Produktionspraxis und minimalem IT-Aufwand.<\/p>\n<\/div>\n\n

    \n
    <\/div>\n<\/div>\n\n
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    Datenmodelle zug\u00e4nglich machen \u2013 sicher und skalierbar<\/h2>\n<\/div>\n\n
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    HighByte Intelligence Hub 4.2 schafft die technologische Grundlage f\u00fcr den gezielten Einsatz von KI, automatisiert DataOps-Aufgaben und bringt mit Git & Telemetrie echte DevOps-Funktionalit\u00e4t in die industrielle Produktion. Die neue MCP-Schnittstelle (Model Control Protocol) macht industrielle Datenmodelle erstmals direkt und sicher f\u00fcr KI-gest\u00fctzte Systeme zug\u00e4nglich. Ein entscheidender Schritt f\u00fcr die n\u00e4chste Stufe der digitalen Fertigung.<\/p>\n<\/div>\n\n

    \n
    <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

    HighByte 4.2 ebnet den Weg zur Industrial AI \u2013 mit integrierter MCP-Schnittstelle f\u00fcr KI-Agenten, Git-basierter Modellkontrolle und automatisierter Kontextualisierung via LLMs.<\/p>\n","protected":false},"author":35,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"25234,25358,24801,24795","_relevanssi_noindex_reason":"","footnotes":""},"categories":[20],"tags":[35],"class_list":["post-25651","post","type-post","status-publish","format-standard","hentry","category-produkt-news","tag-highbyte"],"acf":[],"yoast_head":"\nHighByte Intelligence Hub 4.2 \u2013 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