Online Webinar: SPARK Insights Live: Industrial AI & Edge 2026 – From Connected Assets to Intelligent Operations
2025 pushed industrial enterprises to confront a critical question: Can their existing systems keep up with real-time operations?
Free Webinar -> Limited Seats
In this SPARK Insights Live session, QKS Group analysts break down what truly shifted in 2025 and what must evolve in 2026 for Industrial IoT and edge investments to deliver intelligent, autonomous-ready operations.
Join us for an engaging session with Principal Analyst- Narayan Gokhale, Ignatius Daniel, Vyshak K, Akaash R, who has 15+ years of deep research in Industry.
Date: 09 Dec 2025
Time: 9:30 PM IST | 11 AM EST
Across manufacturing, energy, and process industries, connected assets were scaled out, edge nodes moved closer to the machines, and AI was woven into everyday decision-making, not as a lab experiment, but as a driver of uptime, quality, safety, and energy performance.
At the same time, platform sprawl, integration bottlenecks, cybersecurity concerns, and inflated claims revealed a widening gap between narrative and execution.
In this SPARK Insights Live session, QKS Group analysts break down what truly shifted in 2025 and what must evolve in 2026 for Industrial IoT and edge investments to deliver intelligent, autonomous-ready operations. Drawing from SPARK Matrix™ evaluations, vendor briefings, and enterprise-side engagements, the discussion examines how IoT, OT, IT, and emerging energy technologies are converging into edge-to-cloud operating environments, and which architectures, partnerships, and capabilities will actually matter in the next 12–18 months.
Expect a frank, analyst-led conversation that separates durable transformation from short-lived hype, built on real data, not speculation.
Book your Spot
What to Expect
This research-driven session offers an unfiltered, practical look at how industrial organizations can modernize operations, scale edge deployments, and achieve measurable outcomes without compromising security, interoperability, or resilience
You will learn:
- 2025 in Review:
The most meaningful developments across Industrial IoT, edge computing, and industrial AI, where organizations achieved real results, and where initiatives stalled due to architecture, integration, or skills limitations.
- Predictions for 2026:
QKS forecasts on how AI at the edge, digital twins, event-driven automation, and edge-to-cloud orchestration will evolve, including the minimum technical and functional benchmarks serious platforms must meet for production-scale adoption.
- Ecosystem Shifts:
How integration across IT, OT, and ET layers is driving new models of industrial innovation. Learn how unified data models, secure connectivity, and open interfaces are reshaping industrial architectures and redefining vendor accountability.
- Strategic Priorities:
How leaders can enable resilient, intelligent, and sustainable manufacturing through IoT and edge investments covering KPIs, openness, deployment flexibility, and long-term governance for Industrial AI.
Who Should Attend
This session is designed for industrial and technology leaders navigating the next phase of digital transformation balancing innovation with stability.
Ideal participants include:
- Operations and Plant Leaders modernizing production systems and equipment ecosystems.
- Industrial IT & OT Executives driving convergence strategies and secure edge-to-cloud integration.
- Digital Transformation and Industry 4.0 Heads orchestrating large-scale automation and analytics programs.
- Solution Architects and System Integrators building next-gen industrial data pipelines and interoperability frameworks.
- Technology Vendors and Ecosystem Partners aligning product innovation to enterprise readiness and market direction.
Why Attend
Gain early access to QKS Group’s Industrial AI & Edge Outlook 2026, underpinned by SPARK Matrix™ insights, buyer interviews, and vendor briefings.
Walk away with a clear view of what’s real, what’s hype, and what’s next, including measurable guardrails and architectural principles to guide your industrial modernization journey.
This research-driven session offers an unfiltered, practical look at how industrial organizations can modernize operations, scale edge deployments, and achieve measurable outcomes without compromising security, interoperability, or resilience
You will learn:
-
2025 in Review:
The most meaningful developments across Industrial IoT, edge computing, and industrial AI, where organizations achieved real results, and where initiatives stalled due to architecture, integration, or skills limitations.
-
Predictions for 2026:
QKS forecasts on how AI at the edge, digital twins, event-driven automation, and edge-to-cloud orchestration will evolve, including the minimum technical and functional benchmarks serious platforms must meet for production-scale adoption.
-
Ecosystem Shifts:
How integration across IT, OT, and ET layers is driving new models of industrial innovation. Learn how unified data models, secure connectivity, and open interfaces are reshaping industrial architectures and redefining vendor accountability.
-
Strategic Priorities:
How leaders can enable resilient, intelligent, and sustainable manufacturing through IoT and edge investments covering KPIs, openness, deployment flexibility, and long-term governance for Industrial AI.
Who Should Attend
This session is designed for industrial and technology leaders navigating the next phase of digital transformation balancing innovation with stability.
Ideal participants include:
- Operations and Plant Leaders modernizing production systems and equipment ecosystems.
- Industrial IT & OT Executives driving convergence strategies and secure edge-to-cloud integration.
- Digital Transformation and Industry 4.0 Heads orchestrating large-scale automation and analytics programs.
- Solution Architects and System Integrators building next-gen industrial data pipelines and interoperability frameworks.
- Technology Vendors and Ecosystem Partners aligning product innovation to enterprise readiness and market direction.
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