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1 week ago | 
automatedbuildings.com | Kelly Sinclair |Ken Sinclair
The Model Context Protocol (MCP) serves as a foundational framework for programs utilizing large language models (LLMs) to access data efficiently. Here are the key components of MCP:MCP Host: Programs that utilize LLMs at their core to access data via MCP. When combined with A2A, an agent becomes an MCP Host, enhancing its capabilities. MCP Client: Clients that maintain direct 1:1 connections with servers for straightforward data exchanges.
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1 week ago | 
automatedbuildings.com | Ken Sinclair
Skip to content Linkedin Twitter Pinterest Wordpress Home » Posts » Ontology & AI – Complement or Conflict? Articles AutomatedBuildings.com, Mondaylive.org, April 14 slide with Links https://lnkd.in/ggwcQMYj Ontology Tiger Team Please thank all our sponsors for allowing us to provide you with this platform https://lnkd.in/gCamVGBd Summary...
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1 week ago | 
automatedbuildings.com | Ken Sinclair
The Semantic Tiger Team was launched, bringing together 39 industry leaders to align disparate ontology efforts (Haystack, Brick, DBO, etc). Hosted under the Linux Foundation, this cross-industry initiative brings together the architects of major ontology standards.
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1 week ago | 
automatedbuildings.com | Ken Sinclair
Commissioning can be complex, time-consuming, and resource-intensive — but what if it didn’t have to be? Today, I want to walk you through a real-world example where CUBE-Cx and AutoCx helped a project team streamline their entire commissioning process, save time, reduce labor, and make smarter decisions — all without sending a technician on-site. Let’s dive into how this happened. A high-end hotel complex in Orlando was nearing completion.
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1 week ago | 
automatedbuildings.com | Michael Wilson |Ken Sinclair
The financial services industry stands at a critical juncture, simultaneously driven by the relentless pace of digital transformation and constrained by an increasingly complex web of Governance, Risk, and Compliance (GRC) mandates. Institutions are compelled to innovate, eliminate data silos, and enhance agility, yet they must do so under the watchful eye of regulators demanding stringent controls, transparent reporting, and demonstrable operational resilience.
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1 week ago | 
automatedbuildings.com | Dan McCarty |Ken Sinclair
Change orders during Building Automation System (BAS) graphics projects often prove frustrating and costly. Frequently, these arise from incomplete project specifications at the beginning or shifts in client requirements mid-stream. Fortunately, many such issues can be prevented. Companies specializing in BAS User Interface (UI) design, like QA Graphics with nearly two decades of experience, understand this challenge well. Their work is often supported by extensive time-tracking data.
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1 week ago | 
automatedbuildings.com | Phil Zito |Ken Sinclair
If you’re new to the building automation systems (BAS) industry, or helping someone get started, this guide will give you a clear, step-by-step roadmap. It’s built from real-world experience helping thousands of professionals enter and grow in the BAS space. This checklist outlines the five essential phases of your BAS career development. Each phase includes key skills to master, free resources from Smart Buildings Academy, and practical steps to take action today.
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1 week ago | 
automatedbuildings.com | Kelly Sinclair |Ken Sinclair
OT/IT Feeds AI, and then OT executes the AI commands. Explore how Operational Technology (OT) networks shape the effectiveness of AI in building control systems. This session delves into the potential of fully autonomous buildings, featuring expert panel discussions on what’s possible today and on the horizon. Attendees will learn to harness analytics and AI to enhance workflows and streamline facility operations in adaptive buildings.
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1 week ago | 
automatedbuildings.com | Kelly Sinclair |Ken Sinclair
Monday Live Recap: Ontologies, AI, and the Future of Building DataThis week’s MondayLive! session explored whether ontologies still matter in the age of AI, how they shape data interoperability, and what the future holds for semantic modeling in buildings. Ontologies provide structure—AI thrives on clean, contextualized data, and ontologies help define relationships between systems, points, and metadata.
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2 weeks ago | 
automatedbuildings.com | Thomas Trang |Ken Sinclair
In facility management, especially within HVAC and Building Automation Systems (BAS), the difference between a well-functioning system and one plagued by false alarms often comes down to how well we understand and configure two core parameters: Deadband and Time Delay. These features are not just settings buried in software — they are decision-making rules. They tell the system when to speak up and when to stay quiet.