EOT.AI, a number one supplier of AI-powered options for industrial enterprises, introduced that its flagship product, Twin Speak, has been included as a validated resolution for the Databricks Information Intelligence Platform. This affirms what EOT’s vitality and manufacturing prospects have skilled: Twin Speak delivers safe, scalable, and contextualized operational information pipelines from legacy industrial historian and SCADA programs to Databricks – rapidly and with out complexity.
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It accelerates the flexibility of business groups to make use of their OT information for superior analytics, Generative AI brokers, digital twins, and real-time decision-making.
The Twin Speak integration with Databricks has been battle-tested with international vitality leaders, with help for demanding, real-time industrial information workloads in mission-critical environments. With this validation, Databricks acknowledges Twin Speak as a confirmed industrial resolution for organizations trying to speed up time-to-insight and streamline AI adoption utilizing trusted operational information for the manufacturing and vitality industries.
“This isn’t a brand new integration – it’s a mature, field-proven functionality that’s been powering digital transformation for our vitality prospects,” mentioned Matt Oberdorfer, CEO of EOT.AI. “The Databricks validation reinforces that Twin Speak is a number one approach to join PI, SCADA, and different OT programs into Databricks and drive machine studying worth from industrial information.”
Constructed for industrial-grade efficiency, Twin Speak permits customers to configure, deploy, and handle OT-to-Databricks information pipelines with out writing code. The platform helps historian information ingestion in native Delta format and enriches information with asset hierarchies and metadata – eliminating the friction of conventional ETL processes.
NOV, a worldwide chief in vitality know-how, is among the many firms leveraging the Twin Speak and Databricks integration at scale.
“We selected EOT Twin Speak as a result of it simplifies entry to our operational information and will get it into Databricks inside milliseconds – with full context,” mentioned Staale Jordan, VP Product Info Know-how, NOV. “This unlocks sooner analytics and empowers our groups to construct predictive fashions in Databricks that enhance uptime and efficiency throughout our operations.”
Key Highlights of the EOT Twin Speak + Databricks Integration:
- Subject Confirmed at Scale: Already deployed in large-scale industrial environments with international vitality prospects.
- Databricks Validated: Formally acknowledged as a trusted industrial connector for delivering operational information to the Databricks Information Intelligence Platform.
- No-Code Deployment: Easy setup and administration of historian and SCADA pipelines – no customized coding required.
- Contextualized Information: Twin Speak auto-tags information with AF hierarchies and operational metadata for AI-readiness.
- Actual-Time and Safe: Excessive-frequency, enterprise-grade information supply with built-in entry controls and audit trails.
The mixing is offered now for all present and new Twin Speak prospects and deployable throughout AWS, Azure, and Google Cloud environments. It accelerates the flexibility of business groups to make use of their OT information for superior analytics, Generative AI brokers, digital twins, and real-time decision-making – all throughout the Databricks ecosystem.
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