Build Your AI Advantage

For years, the smart home has relied on explicit triggers: button presses, voice commands, and line-of-sight motion PIR sensors. Now, the convergence of Wi-Fi wave sensing, RF spatial dynamics, and edge AI is introducing a fundamental shift: continuous, non-invasive Ambient Context. This educational session explores how non-line-of-sight (NLOS) RF sensing captures room-level presence, activity levels, sleep/rest dynamics, and fall occurrences through walls without relying on invasive cameras or wearable devices. Integrators will learn how this emerging "context layer" sits between physical sensors and control automation platforms (Alarm.com, Matter/Thread networks, climate, and security platforms). We will cover RF signal processing basics, optimal mesh topologies, false-alarm reduction via fusion sensing, and high-growth revenue opportunities in aging-in-place care, security, and occupancy-driven HVAC energy management. Learning Objectives : By the end of this 60-minute session, attendees will be able to: 1. Understand RF & Wi-Fi Wave Sensing Fundamentals: Explain the mechanics of Channel State Information (CSI), non-line-of-sight wave disruption, and multi-sensor fusion (Wi-Fi + Thread mesh). 2. Map Context to the CEDIA Control Architecture: Identify how ambient occupancy, motion, and anomalous behavioral pattern data (linked to distress situations or falls) integrate into existing security, climate (HVAC), lighting, and automation platforms. 3. Target High-Growth Market Segments: Apply ambient context solutions across residential security, aging-in-place (CareTech), multi-dwelling units (MDUs), and energy management. 4. Design & Deploy Non-Invasive Mesh Networks: Evaluate network topology requirements, avoid common RF interference pitfalls, and ensure privacy-first installations that build client trust.

Artificial Intelligence is transforming both the way integrators work and the technologies they deploy in homes. But with innovation comes responsibility. This session explores the ethical and practical challenges integrators now face. Rich Green will examine key issues, such as, copyright infringement, privacy, data security, and the implications of always-on cameras and microphones. How do you protect client data from misuse or hacking? What guardrails should be in place to prevent unintended actions by autonomous systems? And where does liability fall when AI makes a mistake? Attendees will gain actionable insights into best practices for ethical practice and integration, including system design considerations and risk mitigation strategies. This session will help you navigate the intersection of AI and ethics, empowering you to lead responsibly in the age of intelligent homes.

CEDIA CEU Credit - 1

  Artificial intelligence is rapidly transforming how businesses operate, yet many integration firms
remain uncertain about where AI can deliver meaningful value in their day-to-day operations.
Beyond marketing or content creation, AI tools are increasingly being used to improve internal
workflows, streamline communication, and enhance productivity across multiple areas of the
business.
In this interactive workshop, Ron Callis will guide participants through practical ways integration
companies can begin leveraging AI to improve operational efficiency and decision-making.
Drawing from real-world applications currently being deployed across integration firms,
attendees will explore how AI can support tasks such as meeting summaries, proposal
refinement, project documentation, internal communication, and strategic planning.
Participants will gain hands-on exposure to simple frameworks for integrating AI into everyday
business workflows and will leave with practical ideas they can immediately apply within their
organizations.
Rather than focusing on technical complexity, this session emphasizes practical implementation
and real-world business impact.
Learning Objectives:
Participants will learn how to:
● Identify operational areas where AI tools can improve productivity and efficiency.
● Implement simple AI workflows for documentation, communication, and decision
support.
● Develop a structured approach to introducing AI tools within their organization

AI is not just a feature, it’s a business strategy. This session explores how integrators can package, position, and sell intelligent control systems in the luxury market. From recurring services to premium differentiation, AI-driven experiences create higher margins and deeper client relationships. Learn how to move beyond hardware-centric proposals and build long-term value through software and intelligence.

Cameras have quietly become one of the most powerful—and most scrutinized—devices in the connected home. As AI-driven detection improves, so do concerns about where video data is processed, stored, and accessed. Edge AI is changing that equation by keeping analysis local, enabling faster response times and more intelligent automation without defaulting to the cloud. For integrators, this opens up new possibilities around occupancy awareness, perimeter detection, and system-wide triggers—but also raises important design decisions around network architecture, data handling, and client trust.

This training will cut through the noise to focus on current capabilities, where edge processing delivers measurable advantages, and where cloud-based systems still play a role. Drawing on perspectives from both the control layer and camera manufacturers, the discussion will center on real-world deployments, design tradeoffs, and how these systems perform in the field.

CEDIA CEU Credit - 1

Home control has come a long way—from basic remote access and rule-based automation to AI-driven systems capable of understanding context, preference, and intent. In this session, Alex Capecelatro explores the technological and philosophical shift from “smart” homes that respond to commands to intuitive environments that anticipate needs and adapt in real time. Attendees will gain insight into how advances in voice, machine learning, system architecture, and privacy-first design are shaping a new standard for intelligent living—where the home becomes a seamless extension of its inhabitants. Drawing on real-world applications and emerging trends, Alex will outline what it takes to design, deploy, and scale AI-driven home solutions that compel the clients of our industry.

  The custom integration industry is entering a new era of digital discovery. While referrals remain a primary source of project opportunities, today’s clients rarely contact a company without first researching them online. Increasingly, that research is happening through AI-powered tools such as ChatGPT, Gemini, and Perplexity, which summarize and recommend businesses before prospects ever visit a website.
For integration firms, this shift presents both risk and opportunity. Companies that fail to adapt their digital presence may find themselves absent from AI-generated recommendations, while businesses that understand how AI evaluates companies can significantly improve their visibility.
Drawing on insights from hundreds of integration firms across North America, Ron Callis will explore how AI-driven research is reshaping the customer discovery process. Attendees will learn how modern buyers evaluate integration companies online, what signals influence AI-generated recommendations, and how integrators can adapt their marketing strategies to remain visible in this evolving environment.
This session provides a practical framework for helping integration firms strengthen their digital authority and ensure their businesses continue to appear when prospective clients research technology partners.