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Author: Joydeep Misra

Industrial Revolution 4.0 IoT vs IIoT

Industrial Revolution 4.0: IoT vs IIoT

In the age of Industry 4.0, IoT and IIoT are often confused—but for OEMs, the distinction is critical. While IIoT powers smarter factories, IoT enables smarter products in the field. This strategic guide breaks down the differences, why both matter, and how Bridgera’s Interscope AI™ platform helps OEMs extend value beyond the factory floor with connected, customer-facing solutions.

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Generative AI vs Machine Learning for Agentic AI

Gen AI vs Machine Learning for Agentic AI

What if AI could do more than just reply? Agentic AI uses Machine Learning to learn from data and Generative AI to communicate like a human. Bridgera’s JERA combines both to automatically find answers, send alerts, and perform real work across your systems.

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Discover the AI Possibilities of Data Readiness

Discover the AI Possibilities of Data Readiness

AI success starts with data readiness. This blog explores how enterprises can unlock the full value of AI by building a strong data foundation through effective data cleaning, structuring, and governance. Learn how Bridgera’s Interscope AI platform streamlines the journey from raw data to actionable insights.

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IoT in Fleet Management: A Comprehensive Guide

IoT in Fleet Management: A Comprehensive Guide

IoT’s role in fleet management is much more than tracking vehicles; it is about a paradigm shift into streamlined, efficient, and intelligent transportation. Bridgera’s IoT fleet tracking platforms embody this vision, thereby making them a reliable partner for companies that want to redefine their operations.

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Turning IoT Dark Data into Intelligence

Turning IoT Dark Data into Intelligence: Leveraging Unstructured Data for AI and Advanced Analytics 

Many organizations collect large volumes of IoT data—but most of it goes unused. This blog explains how to turn that “dark data” into valuable business insights using AI and advanced analytics. Learn how Bridgera helps companies unlock the full potential of their unstructured data to improve decision-making and drive operational efficiency.

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