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Solutions for Building Intelligent Enterprise Automation Platform

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Guide to Become an Intelligent Enterprise

The process of becoming an Intelligent Enterprise starts from following the data and insight-driven approach. The primary goal of any connected enterprise is to adopt the latest technology and parallelly remove old and obsolete technologies from their stack. The core fundamentals behind building intelligent products are –

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    Be Business Process Effective

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    Support Business Model

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    Faster adaptation to New Technologies

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    Customer-Centric

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    Big Data Infrastructure Monitoring

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    Big Data Infrastructure Monitoring

Intelligent Enterprise Components

Artificial Intelligence plays a vital part in the digital twins foundation. The working architecture includes Embedded Analytics, Edge Analytics, AI, and IoT Capabilities

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Embedded Analytics

Embedded Analytics uses Business Intelligence analytics capabilities for Accelerated development, Faster Insights, and Reduced operating costs.

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Automation

Enabling Intelligent Automation is a crucial step to becoming an Intelligent Enterprise. Automation helps firms to increase Performance, Reductions in systems operations, and Increment in production.

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Edge Analytics

Edge Analytics involves collecting and processing the data at the edge of the network with the help of IoT. The primary purpose of enabling Edge Analytics is to get faster and accurate insights from the computed data.

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AI and IoT

AI and IoT can be used to implement the concept of predictive maintenance. Predictive maintenance combines the power of IoT and Artificial Intelligence, and this process involves harnessing the power of AI to predict disasters and IoT for collecting real-time data via sensors.

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Intelligent Enterprise Architecture

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    Intelligent Enterprise Benefits

    Automation Data Integration and Processing Process, Predicting Business Outcomes.

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    Intelligent Platform

    The roadmap for building an intelligent enterprise starts with making an intelligent platform that creates, deploys, and scales applications.

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    Intelligent Applications

    Building integration-ready extensible applications increase the productivity and efficiency of the enterprise.

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    Intelligent Technologies

    Enabling and Adapting Digital Transformation with technologies such as RPA, IoT, Advanced Analytics, and Machine Learning.

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