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Insights

We believe in being generous with knowledge. We regularly publish what we've learned from our customers and the technology we build on. Get in
touch if you'd like to go deeper!

Article
What a Cup of Coffee Can Teach Us About AI-Driven Manufacturing
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Using Large Language Models and AI Agent Systems to Provide AI Assistants for Improved Industrial Operations
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While large language models (LLMs) may struggle to generate insights directly from time-series data, their strong pattern-recognition capabilities make them well-suited for identifying and synthesizing already existing insights. We therefore argue that an architecture featuring a separate graph-based domain model and time-series data storage is the ideal architecture for a generalized AI companion serving the heavy asset industry: An agentic AI can first identify relevant nodes (assets, sensors, and a large variety of pre-computed models) for answering a user prompt using a mixture of APIs, query language generation, semantic search, and graph traversal. Only after this filtering step is time-series data accessed and retrieved to synthesize an answer.
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The maritime industry is essential to the worldwide economy but is also a significant and growing source of greenhouse gas (GHG) emissions.
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In the race to combat climate change, the maritime industry stands at a pivotal crossroads. As one of the most energy-efficient modes of transport, maritime shipping is crucial to the global economy, yet it remains a significant and growing source of greenhouse gas (GHG) emissions.
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How Large Language Models (LLMs) can power virtual maintenance assistants for enhanced equipment issue diagnosis and root-cause analysis.
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The drive for data democratization and AI in heavy asset industries has led to an extensive market of Asset Reliability and Predictive Maintenance software solutions. Several vendors now provide multi-page feature comparison lists for their software offerings, aiming to stand out from the crowd, but this doesn’t make the buying process any easier.
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Global market intelligence firm IoT Analytics recently highlighted Arundo's Marathon software as a market leader in moving from AI-driven insights to real prescriptive outcomes in heavy asset performance monitoring. Read about one of the product features that Marathon customers love the most.
Article
Arundo Analytics is excited to launch an innovative solution reducing electricity costs based on forecasted electricity prices
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Honored with prestigious Industry Award by CIO review: Most promising data analytics solution provider 2022. We're thrilled to share that Arundo Analytics has been awarded a prestigious industry award for our pioneering work in advanced analytics and AI-driven software for industrial operations.
White Paper
From regulation to competitive advantage: Turn Scope 3 compliance into a business value, and harness the power of AI to reduce supplier emissions at source.
White Paper
Download this whitepaper to learn how Large Language Models (LLMs) can power 'virtual maintenance assistants' for enhanced equipment issue diagnosis and root-cause analysis.
White Paper
As recent geopolitical events and the transition away from fossil and nuclear fuels have led to higher and increasingly volatile energy prices in Europe, reducing energy costs is now a top priority for all affected industrial companies.
White Paper
Learn more about how you can overcome the challenges you might face doing edge computing when your equipment is in remote or even moving locations.
White Paper
MacGregor has the strategic objective to work across the full product lifecycle to offer its customers a lower total cost of ownership (TCO).
White Paper
Download this whitepaper to learn how you can effectively start an equipment analytics program by bypassing common challenges to true predictive analytics.
White Paper
OEMs supplying heavy industries must innovate and adapt to IoT. Check out which capabilities you need and get an overview of what you need to do.
White Paper
Learn about the IIoT, how it will disrupt traditional thinking, why it matters and which implementing challenges you might experience.
White Paper
Learn more about opportunities for asset owners in the LNG industry in our whitepaper on applying advanced analytics to the data emitted by LNG equipment.

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