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For more than a decade, the industry has repeated the phrase, "Quantum is five years away." Yet during that same period, quantum computing capabilities have advanced steadily, investment has surged into the billions, and governments and private industry have accelerated development efforts. So what is the real timeline, and more importantly, what should enterprises be doing today? This opening session examines the current state of quantum computing, separating hype from reality.
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The threat isn't waiting for a future quantum computer. It's already underway. Does the growth of “Harvest Now, Decipher Later” HNDL represent a clear and present danger? Do the systems we use today have a path forward? Who is providing new innovations and how are they recommending we migrate? This session examines the real-world implications of HNDL, identifies which cryptographic systems are most vulnerable, and explores the emerging technologies and migration strategies being recommended by security leaders.
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The US government has prioritized the discovery of cryptography with the plan to replace these systems with post quantum PKI improvements. This is followed by identity management systems. Using the updated guidelines in FIPS 203, 204 and 205. This session provides a practical review of the finalized NIST Post-Quantum Cryptography standards, including FIPS 203, 204, and 205, and examines the federal mandates and timelines that are driving adoption across government agencies and critical industries.
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A sufficiently powerful quantum computer could solve mathematical problems that classical computers cannot solve efficiently. The remedy that National Institute of Standards and Technology has developed to address the threat of quantum computers breaking today’s encryption is called Post-Quantum Cryptography (PQC). Embedded in PQC is the concept of Cyber-Agility designing encryption methods that can be swapped quickly in the future. This session explores Post-Quantum Cryptography (PQC) and the emerging concept of cryptographic agility—the ability to rapidly adapt encryption technologies as new threats and standards emerge.
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Risk is often subjective based on personal attitudes rather than known facts. However, there are some objective measurements that can be made which should be used to realistically evaluate risk. Mosca's Theorem provides one of the most practical frameworks for understanding quantum risk. Simply stated: if the time required to migrate your organization to quantum-safe security exceeds the time remaining before quantum computers can compromise your encryption, then you are already behind schedule. Learn how to estimate their organization's quantum risk runway and determine whether immediate action is required to protect long-lived data assets.
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Here is some good news, discovering your data’s vulnerability is easier than ever thanks to AI-powered tools. The bad news is that you may discover flaws that need to be updated. Whatever the result, the impact of quantum security threats is the decision to stay vigilant and continue to monitor and prioritize PQC security solutions.
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Mobile SDKs power payments, personalization, and AI-driven experiences for billions of users, yet they remain the most invisible and underestimated layer of the mobile stack. When designed well, they are silent infrastructure; when designed poorly, they create privacy risk, performance bottlenecks, and incident-response headaches for every team that depends on them. This session unpacks the engineering and product principles behind privacy-first, globally scalable SDKs that developers actually want to integrate. Drawing on more than a decade of building and operating mobile infrastructure at scale, the speaker will explore how to embed privacy by design, avoid technical debt, and deliver SDKs that are both robust and easy to adopt. Whether you build SDKs or rely on them, you will walk away with patterns and frameworks you can put into practice immediately. What You’ll Learn Practical patterns for designing SDK architectures that balance performance, security, and maintainability in real-world mobile environments. Strategies for making privacy, compliance, and developer experience first-class requirements in your SDK roadmap, not afterthoughts. A concise framework for evaluating, selecting, and improving SDKs used across large, distributed app portfolios. Who Should Attend Mobile engineers, platform and infrastructure architects, product leaders, and anyone responsible for building, selecting, or governing SDKs in high-scale mobile applications.
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Quantum computing is moving from theory to practical experimentation, and its convergence with AIoT promises to reshape how complex, distributed systems are designed and optimized. In this session, André König, CEO of Global Quantum Intelligence, will cut through the hype to explain where quantum really is today, what problems it is starting to solve, and how AIoT leaders should prepare their architectures, data strategies, and roadmaps for a quantum-accelerated future. Attendees will explore realistic timelines, emerging use cases, and the strategic implications of quantum for security, optimization, and large-scale AI at the edge. What You’ll Learn How quantum computing can enhance AIoT workloads such as large-scale optimization, predictive maintenance, and secure communications—and where classical computing will remain dominant. A practical framework from André König for assessing quantum readiness, prioritizing near-term experiments, and aligning enterprise AIoT strategies with the evolving quantum ecosystem.
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The retail industry stands at the precipice of a technological revolution. As enterprise IoT deployments mature beyond simple sensor networks, forward-thinking retailers are discovering that the convergence of artificial intelligence and microservices architecture is unlocking unprecedented operational insights and efficiencies. This transformation is reshaping how retail industrial systems operate, from warehouse automation to supply chain optimization.
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Viaanix is a full-spectrum IoT enablement company, delivering everything from intelligent hardware and embedded systems to cloud platforms and enterprise-grade applications—all under one roof. We empower OEMs, enterprises, and governments to transform operations through smart, connected technologies. Our VX-Olympus™ platform enables real-time monitoring, automation, and asset intelligence across industries including manufacturing, logistics, agriculture, healthcare, transportation, and smart infrastructure. But Viaanix is more than a technology provider—it’s a story we’re scripting with you. We understand people, and in understanding people, we understand systems, societies, and innovation. We don’t follow formulas or one-size-fits-all templates. We build on tradition, adapt to change, and co-create solutions with our clients. We don’t just build products—we produce answers. Positioned at the intersection of human insight and machine intelligence, Viaanix brings the inanimate to life, crafting connected experiences that will define the future.
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Novelis is a leading sustainable aluminum solutions provider and a world leader in aluminum rolling and recycling. Driven by our purpose of “shaping a sustainable world together,” we work alongside our customers to provide innovative, low-carbon, and high-recycled-content aluminum solutions to the aerospace, automotive, beverage packaging and specialty markets. Operating an integrated network of technically advanced rolling and recycling facilities across North America, South America, Europe and Asia, Novelis leverages its global manufacturing and recycling footprint to deliver high-quality, low-carbon aluminum products around the world. Chirag Agrawal will review some of the use cases that utilize computer vision within the company and their impact on the industry. This will help other users to ask the questions and understand the possibilities of implementing machine learning based use cases in their company.
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AI is transforming IoT—but only if the network can keep up. This session explores how Secure Edge Fixed Wireless Access (FWA) delivers fast, resilient 5G connectivity with AI-driven intelligence that continuously optimizes performance, visibility, and security at the edge. Learn how a joint Aeris and MergeWiFi solution combines multi-carrier 5G, AI-powered orchestration, and agentless zero-trust security into a single platform—enabling enterprises to bring new sites online in days, protect critical applications like POS and telehealth, and reduce operational risk without added complexity.
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The more things change, the more regulations add to responsibilities, At least that’s the way it feels for many of the service providers. We have a number of changes planned and proposed that need to be considered as we plan for the future. The disappearance of E-Rate, the Shaken – Stir implementation, the possibility of 1+14, etc. All of the these changes being applied to IoT impact business models, processing and costs. This session looks at the long term, the near term and immediate impact to the industry. What you will learn: - What is the intention of the regulation changes. - How it impacts business models. - Which groups are lobbying the FCC and other rule makers.
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Edge AI and robotics are forcing architects to make hard choices about what runs in the cloud, what runs at the edge, and how much autonomy to give machines in the field. From warehouse robots and mobile swarms to humanoids and industrial cobots, we see the same pattern: millisecond decisions happen on-device, while learning, coordination, and governance live across a distributed edge–cloud fabric. This session mines concrete lessons from robotics—swarm intelligence, neurosymbolic control loops, and fleet management—to frame a pragmatic playbook for “balancing the edge.” We will examine when to push more intelligence onto constrained devices, when to pull work back to the cloud, and how to design architectures that evolve over time without breaking safety or compliance. Attendees will leave with patterns, cautionary tales, and reference questions they can ask their own vendors and teams.
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Hearing is Believing! When compressors are starting to fail, their sound starts to differ from the normal hum. Enabling a sampling of the sound to be stored in a VCon is a starting point for language sets, baseline analysis, and anomaly detection. The panel will examine how VCons can be used to summarize the behavior and present the audible data in a visual way. Attendees will learn: ??How to architect an audible sensor solution to integrate VCons and AI to enable better remote monitoring? ??How does processing the data at the edge reduce the bandwidth requirements to transmit VCons for triggering alarms and agentic actions? ??How to develop dashboards that support oversight and historical logging for better documentation?
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Building and Deploying AIoT solutions delves into the practical aspects of creating and implementing AIoT systems. Starting with establishing best practice measurements for Testing Frameworks, Scalable Architecture Design, Continuous Integration and Deployment (CI/CD). This session will look at proven methodologies and strategies for designing, developing, and deploying AIoT solutions; followed by Real-World Case studies across various industries to provide insight into successful implementations.

Attendees will learn:

What are the critical components involved in building and deploying AIoT solutions.

What insights come from practical challenges and solutions associated with AIoT systems.

What case studies demonstrate about driving innovation and efficiency.

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A meet and greet opportunity to talk with fellow participants and have a lively discussion with some authors about their just released books.
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AI-driven cybersecurity is becoming essential as AIoT systems expand, creating a massive, dynamic attack surface that traditional tools can no longer protect alone. This session examines how AI techniques such as anomaly detection, behavioral analytics, and intelligent automation can harden AIoT environments, spotting and stopping threats across devices, networks, and cloud services in real time. Attendees will explore practical patterns for embedding AI into security operations so that defenses continuously learn from new data and adapt to evolving attacks. What You’ll Learn How AI-powered anomaly detection, IDS/IPS, and behavior analytics can detect zero-day attacks and lateral movement across AIoT devices before damage occurs. Design and operations strategies for integrating AI-driven security into existing IoT platforms, including automated response, zero-trust enforcement, and continuous risk monitoring.
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Traditional streaming analytics struggles to keep pace with the scale, velocity, and complexity of modern IoT telemetry. Digital twins change the game by maintaining rich, real-time state for each device or asset, while embedded ML and AI models continuously interpret incoming data and trigger intelligent actions within milliseconds. In this session, William Bain, CEO and founder of ScaleOut Software, will show how pairing real-time digital twins with machine learning unlocks a new class of streaming analytics—delivering deeper situational awareness, earlier anomaly detection, and more precise, automated responses across large fleets and critical systems. What You’ll Learn How real-time digital twins combined with ML/AI transform streaming analytics architectures, enabling stateful, per-entity intelligence at massive scale. Practical design patterns and deployment strategies for building AI-powered digital twin solutions that improve detection, prediction, and decision-making in live IoT environments.
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