5 Ways AI Can Address Logistics Challenges
AI is no longer a future promise in logistics. It’s solving real problems today. In this article, we look at five ways AI is helping logistics teams improve forecasting, optimize fleet operations, streamline warehousing, and respond faster to change, all while reducing costs and improving service.
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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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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
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.
Read MoreWhat We Learned at Automate 2025
It was just a few weeks ago that the Bridgera team descended on the city of Detroit for Automate 2025. Between smoothie robots, massage machines, and robot dogs, it felt like we stepped into an episode of The Jetsons. Best of all, we had the chance to connect with manufacturers, inventors, and innovators alike to […]
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