The race to embed artificial intelligence into connected products has reached a critical inflection point. With 80% of electronic engineers actively engaged with AI and 42% already shipping AI-based products, the technology has moved from experimental to essential. But as regulatory deadlines loom and customer expectations for trustworthy AI intensify, the question is no longer whether to integrate AI—it's how to do it right.
The European Union's AI Act penalty enforcement begins in August 2026, creating an unprecedented compliance deadline that will reshape how companies approach AI in embedded systems. Meanwhile, the General Product Safety Regulation has been in effect since December 2024, and ISO/IEC 42001 certification demand is surging across industries. For engineering and product leaders in electronics, medical devices, IoT, mobility, telecom, and industrial systems, the window for proactive preparation is rapidly closing.
This convergence of regulatory pressure, competitive dynamics, and technological advancements makes trusted AI not just a compliance requirement, but a fundamental business imperative. Companies that master AI governance and trust-by-design principles will gain first-mover advantages in markets increasingly defined by transparency, accountability, and user confidence. Those that don't risk regulatory penalties, delayed market entry, and erosion of brand trust in an environment where 37% of consumers have already switched brands to protect their privacy.
The Nemko Digital’s AI Trust in Electronics Web Summit represents a strategic response to this challenge, bringing together the expertise, frameworks, and practical guidance needed to navigate the complex landscape of AI trust in embedded systems. Register for the Nemko Digital Summit to secure your organization's competitive position in the era of trusted AI and build your AI power network.
What Attendees Will Learn at AI Trust in Electronics Web Summit
ISO/IEC 42001 Implementation Roadmap provides participants with a structured approach to establishing AI Management Systems (AIMS). As the first international certifiable standard for AI governance, ISO 42001 offers a comprehensive framework for managing AI throughout its lifecycle. Summit sessions will cover the eight building blocks of effective AI governance: leadership and governance, AI lifecycle management, external stakeholder engagement, people and culture development, operational excellence, risk management, compliance alignment, and technology integration.
Agentic AI Governance and Risk Management addresses the emerging challenges of autonomous AI systems that can make decisions and take actions with minimal human intervention. As agentic AI becomes more prevalent in embedded systems—from smart home orchestration to industrial automation—organizations need new approaches to governance, monitoring, and accountability. The summit explores frameworks for managing autonomous AI behavior, establishing appropriate human oversight mechanisms, and ensuring alignment with organizational values and regulatory requirements.
Practical Trust-by-Design Methodologies translate theoretical concepts into implementable processes. Participants will learn how to embed transparency, explainability, and accountability into AI system architecture from the earliest design phases. This includes techniques for creating AI factsheets, implementing audit trails, designing fail-safe mechanisms, and establishing feedback loops that enable continuous improvement and risk mitigation.
Competitive Advantage Through Verified AI demonstrates how trust becomes a market differentiator. In an environment where customers increasingly scrutinize AI-enabled products, organizations that can demonstrate verifiable AI performance, transparent decision-making processes, and robust governance frameworks gain significant competitive advantages. The summit explores case studies of companies that have successfully leveraged AI trust as a business strategy, examining both the technical implementations and market outcomes.
Why Timing Matters: The 2025-2026 Regulatory Imperative
The convergence of regulatory timelines, technological advancements, and market pressures creates an unprecedented window of opportunity—and risk—for organizations developing AI-embedded products. Understanding these intersecting forces is crucial for strategic planning and competitive positioning.
EU AI Act Penalty Enforcement represents the most immediate and significant regulatory pressure point. While the Act became law in 2024, its phased implementation timeline creates critical deadlines throughout 2025 and 2026. The most crucial milestone arrives in August 2026, when full penalty enforcement begins for high-risk AI systems. This deadline is particularly challenging because final guidelines for high-risk AI systems won't be published until February 2026, leaving organizations with only six to eight months between guidance publication and enforcement. Companies that wait for final guidance risk insufficient preparation time, while those that begin compliance efforts now gain substantial first-mover advantages.
General Product Safety Regulation (GPSR) has been in effect since December 2024, creating immediate compliance obligations for AI-embedded consumer products sold within the EU. Unlike the AI Act's risk-based approach, GPSR applies broadly to physical and digital consumer products containing AI, both online and offline. This regulation acts as a safety net for AI systems not classified as high-risk under the AI Act, but its broad scope means most consumer-facing AI products fall under its requirements. Organizations shipping AI-enabled products to European markets must demonstrate compliance now, not in 2026.
ISO/IEC 42001 Rising Demand reflects the market's recognition that voluntary standards often become de facto requirements. Major technology companies, including AWS, have already achieved ISO 42001 certification, signaling the standard's importance for competitive positioning. As the first international certifiable standard specifically designed for AI Management Systems, ISO 42001 provides a framework that addresses the unique challenges of AI governance throughout the system lifecycle. Early adoption of ISO 42001 principles positions organizations ahead of competitors and demonstrates proactive commitment to responsible AI development.
Agentic AI Readiness Requirements emerge from the rapid evolution of AI capabilities toward autonomous decision-making and action-taking systems. Current regulations, including the EU AI Act and GPSR, were developed before agentic AI became commercially viable, creating regulatory gaps that organizations must navigate carefully. Agentic AI systems introduce new categories of risk related to autonomous behavior, goal pursuit, and decision-making without human intervention. Organizations deploying or planning to deploy agentic AI capabilities need governance frameworks that address these emerging challenges while remaining compliant with existing regulations.
The intersection of these regulatory and technological forces creates what industry analysts describe as a "compliance convergence" that will fundamentally reshape competitive dynamics in AI-embedded products. Organizations that successfully navigate this convergence will gain sustainable competitive advantages, while those that struggle with compliance face market access restrictions, regulatory penalties, and customer trust erosion.
For a deeper background on the technical and strategic considerations driving these regulatory developments, download our white paper: AI Trust by Design — Making AI-Embedded Products Safe, Compliant, and Scalable by registering for our AI in Electronics web summit. This comprehensive resource, developed in collaboration with IBM, provides a detailed analysis of the trends, challenges, and solutions shaping the future of trusted AI in embedded systems.
Who Should Attend
The Nemko Digital Summit is designed for decision-makers and technical leaders who are responsible for AI strategy, implementation, and governance in organizations developing or deploying AI-embedded products. The summit's content addresses the specific challenges and opportunities facing professionals across multiple industries and functional areas.
- Engineering and Product Leaders seeking to preview tomorrow's AI today
- Compliance and Governance Leaders delegations
- Innovation Teams
- Electronics manufacturers developing smart devices, connected appliances, and consumer electronics with embedded AI capabilities.
- Medical Device companies at the AI Trust Summit
- IoT and Connected Systems developers
- Mobility and Automotive companies
- Telecom and Networking organizations
- Industrial Systems manufacturers
How to Register
The Nemko Digital AI Trust in Electronics Web Summit takes place on September 4th, 2025 in a Virtual format designed to maximize interaction and practical learning. The summit features leading experts in AI governance, regulatory compliance, and embedded systems development.
Registration includes access to all summit sessions, interactive workshops, networking opportunities, and comprehensive resource materials. Participants will receive detailed implementation guides, compliance checklists, and access to ongoing support resources to ensure the successful application of summit learnings.
Early registration is recommended due to limited capacity and high demand from industry leaders seeking to gain competitive advantages through proactive AI governance. Organizations sending multiple participants can take advantage of group registration discounts and customized follow-up consulting opportunities.
Secure your spot at the Nemko Digital Summit and position your organization at the forefront of trusted AI innovation. The convergence of regulatory requirements, technological capabilities, and market opportunities creates a unique moment for strategic action—and the summit provides the knowledge, frameworks, and connections needed to capitalize on this opportunity.
The future of AI-embedded products belongs to organizations that can demonstrate trustworthiness, compliance, and competitive advantage simultaneously. Join the leaders who are shaping this future at the Nemko Digital Summit.
Technology Enablers for Trusted AI
The implementation of trusted AI in embedded systems requires sophisticated platforms that can manage the complexity of AI governance while maintaining operational efficiency. Modern AI governance platforms, such as IBM watsonx, provide comprehensive capabilities for building, orchestrating, managing, and governing AI systems across their entire lifecycle. These platforms offer integrated approaches to AI/ML operations, data management, and governance controls that enable organizations to scale trusted AI implementations while maintaining compliance with evolving regulatory requirements.
The AI Trust in Electronics Web summit explores how organizations can leverage these technological enablers to accelerate their AI trust initiatives while reducing implementation complexity and operational overhead. Understanding the capabilities and limitations of available platforms is crucial for making informed technology decisions that support long-term AI governance objectives.
The Nemko Digital AI Trust in Electronics Summit is organized by Nemko Digital, a leading provider of AI governance, compliance, and trust solutions for embedded systems. For more information about Nemko's AI Trust Mark certification and comprehensive AI governance services.
