Overview

Industry 4.0 is a digital transformation that has a promise to make our factories smarter, more productive, less wasteful, and customer driven. This transformation is fueled by smart-autonomous systems, extreme connectivity, enormous data (operational, enterprise, social) and machine learning techniques.

Industry 4.0 optimize the computerization of Industry 3.0. A network of smart machines-processes-people-data , digitally connected , create and share information that results in the power of Industry 4.0
Companies are adopting Industry 4.0 transformation, preparing for future where smart machines and data analytics techniques improve their business in following ways

Smart, Connected machines collect a tremendous volume of data that can inform maintenance, performance, anomalies, insights that would be impossible for a human to do in a reasonable timeframe

Optimize logistics and supply chains. Connected supply chain can automatically prioritize and adjust manufacturing priorities based on weather conditions delaying shipments

Robots optimize floor space in warehouses, and speeds up deliveries.

Industry 4.0 Challenges

  • Legacy Technologies, Applications and Infrastructure
  • Security of connected devices and data
  • Lack of Data Strategy
  • Absence of IoT Standards to ensure inter-operability
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CoreView Industry 4.0 Advantage

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  • Decision Making
  • Operational efficiency
  • Preventive Maintenance
  • Customer Insights

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  • Supply Chain Optimization
  • Competitive Edge
  • New Business Opps
  • OPEX savings

Our Approach

Structured and Collaborative approach to understand business needs, results in specific Business Outcomes. Depending upon your organization’s Digital Adoption level, we come up with Incremental and Iterative implementation based on Industry Best Practices and our Deep Data Expertise to Control Costs and Maximize ROI

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Device Management & Monitoring

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Build Data Management

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Enable Access Control

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Exploratory Access To Data

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Data as a Service

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Analytics and ML Models

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Data Integrations

Plan

  • Partner with decision makers
  • Clarify business outcomes and ROI
  • Formulate strategy driven multi-functional digital transformations
  • Architectural and design solution blueprints
  • Roadmap and Implementation Plan

Build Incrementally

  • Connect Devices, Ingest Raw Data
  • Secure first – Device and Data
  • Device Management
  • Data Management (Edge + Cloud)
  • Data as a Service
  • Enterprise Integration
  • Analytics, Predictive models, Recommendation engines

Realize Value

  • Monitor Data Quality & refine Data Transformations
  • Measure data accuracy and tweak models
  • On Demands reports-dashboards
  • Exploratory data science
  • Automated Dev-Ops
  • Performance Analysis & tweaks
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Is your organization ready for Industry 4.0?

Contact Us