WHAT’S COVERED

  • A comprehensive guide to building a unified, AI-powered data foundation for manufacturing that connects operational technology (OT) and information technology (IT) systems, democratizes data access from shop floor to top floor, and unlocks the full potential of analytics and AI across the entire manufacturing value chain.
  • Why manufacturers need a unified data foundation: 60% of G2000 organizations will adopt performance-intensive, unified data management to accelerate insights for AI and Analytics, and 40% of senior manufacturing executives aim to use AI to enhance speed and efficiency and minimize product failures.
  • Top data estate challenges for manufacturers: highly fractured and sprawling data estates, costly integration and maintenance, poor-quality data, and data governance and security risks.
  • How connected ecosystems solve complex challenges by unifying data across all critical enterprise operations — from factory to supply chain, R&D, and customer experience — with 74% of industrial machinery manufacturers already experimenting with and deploying AI use cases.
  • Veraqor’s end-to-end AI-powered data platform built on Microsoft Fabric and Azure Databricks that unites edge and cloud data, integrates industrial assets with operational tech systems, and makes data accessible to everyone across the organization.
  • Three pillars of intelligent data for manufacturing: Pillar 1 (secure integration of OT and IT data into a single AI-powered platform), Pillar 2 (reporting and analytics with Power BI to improve productivity and business impact, delivering 20% reduction in time required to receive analytic output), and Pillar 3 (operational visibility with AI assistants to enable deep insights in near-real time using natural language queries).
  • Real-world manufacturing outcomes from Strabag, Bridgestone, and Schneider Electric showing risk prediction with 80% accuracy, reduced production downtime, enhanced worker productivity, faster innovation, and more energy-efficient operations.
  • How Microsoft Fabric and Azure Databricks provide a full breadth of solutions built on an open and governed lakehouse foundation, enabling data engineering, real-time streaming analytics, data warehousing, and data science in a unified platform.
  • Where Veraqor fits in, offering manufacturers the expertise, services, and experience needed to optimize data with Microsoft products, from initial strategy and assessment through implementation and ongoing support.

WHO IT’S FOR

  • Built for manufacturing leaders ready to unify their data estate and unlock AI.
  • This ebook is for manufacturing executives and technical leaders who understand that fragmented data estates are blocking innovation and that unifying operational technology (OT) and information technology (IT) data is essential for AI adoption and competitive advantage. If you’re responsible for digital transformation, operational excellence, data strategy, or deploying AI across the manufacturing value chain, this guide provides the framework and real-world examples to build a trusted, intelligent data foundation on Microsoft Fabric and Azure.
  • Chief Information Officers and Chief Technology Officers Defining data strategy, selecting unified data platforms, breaking down data silos, and building the technical foundation for AI-powered manufacturing across factory, supply chain, R&D, and customer experience.
  • Chief Data Officers and Chief Analytics Officers Overseeing data governance, ensuring data quality and security, democratizing access to analytics, and accelerating insights that drive measurable business outcomes.
  • VP of Operations and Manufacturing Excellence Leaders Improving production monitoring, enabling predictive maintenance, reducing downtime, and leveraging real-time operational visibility to optimize manufacturing performance.
  • VP of Digital Transformation and Innovation Leading connected ecosystem initiatives, driving AI adoption, and ensuring data unification supports business-led transformation across the entire manufacturing value chain.
  • Enterprise Architects and Solution Architects Designing integrated OT and IT data architectures, selecting between Microsoft Fabric and Azure Databricks, and building scalable, secure data platforms on Azure.
  • Data Engineering and Data Platform Leaders Consolidating data estates, integrating disparate sources including factory sensor telemetry, MES, ERP, SCADA, and industrial automation apps, and preparing data for AI and analytics workloads.
  • Business Intelligence and Analytics Leaders Scaling analytics with Power BI, enabling self-service business intelligence adoption with low-code and no-code tools, and delivering interactive insights that improve decision-making across the organization.
  • IT Directors and Infrastructure Leaders Implementing secure integration of OT and IT data, automating data governance, managing cloud-based and edge-based workloads on Azure, and ensuring enterprise-grade security with Microsoft security solutions.
  • Quality, Process, and Continuous Improvement Leaders Leveraging data and AI to enhance speed and efficiency, minimize product failures, and drive operational excellence through advanced analytics and AI assistants.
  • Supply Chain and Logistics Leaders Unifying supply chain data with manufacturing data to improve visibility, optimize planning, and enable AI-driven decision-making across the extended value chain.
  • Whether you’re struggling with a highly fractured data estate, facing costly integration and maintenance challenges, or ready to deploy AI use cases that enhance speed, efficiency, and quality, you’ll leave with a clear understanding of how to secure integration of OT and IT data, scale reporting and analytics, enable operational visibility with AI assistants, and partner with Veraqor to build an intelligent data foundation for manufacturing.