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SPARK Insights Live: Industrial AI & Edge 2026 From Connected Assets to Intelligent Operations

December 9, 2025

9:30 PM - IST

Executive Overview

Industrial enterprises entered 2025 with aggressive digital transformation mandates - scaling connected assets, expanding edge deployments, embedding AI into operational workflows, and converging IT, OT, and emerging energy technologies into unified architectures.

However, as deployments moved from pilots to production, many organizations discovered that connectivity scale did not automatically translate into operational intelligence.

The execution gap widened.

In this recently concluded SPARK Insights Live session, QKS Group analysts examined how Industrial IoT and edge investments performed under real-time operational pressure, where architectural fragmentation and integration strain emerged, and what structural priorities industrial leaders must focus on in 2026 to achieve intelligent, autonomous-ready operations. Drawing on SPARK Matrix evaluations, vendor briefings, and enterprise engagements, the discussion translated market narratives, deployment realities, and ecosystem shifts into actionable guidance for operations, engineering, and industrial technology leaders.

Key Takeaways from the Session

The webinar delivered an insight-driven walkthrough of the structural pressures emerging across industrial AI and edge deployments. Participants gained clarity on why edge initiatives often stall at scale, how platform sprawl and integration bottlenecks undermine operational performance, and what architectural shifts leaders must implement to stabilize execution, ensure cybersecurity readiness, and sustain measurable production outcomes in 2026.

Topics Covered

  • Why 2025 Became a Reality Check for Industrial AI & Edge: Examination of how large-scale asset connectivity, edge expansion, and embedded AI shifted expectations from experimentation to measurable uptime, quality, and energy performance gains.

  • Where Industrial Execution Breaks at Scale: Analysis of integration choke points across IT, OT, and ET layers, data model inconsistencies, edge orchestration gaps, and skills shortages limiting production-scale deployment.

  • The Hidden Complexity of Edge-to-Cloud Convergence: Assessment of how distributed edge nodes, cybersecurity exposure, and interoperability constraints introduce operational risk when architectures are not designed for unified governance.

  • From Hype to Durable Transformation: Insights into how inflated AI and Industrial Metaverse narratives are being replaced by performance-driven adoption benchmarks and minimum production-readiness thresholds.

  • Industrial Architecture Evolution for 2026: Discussion on emerging models including event-driven automation, AI at the edge, digital twins integration, unified data fabrics, and secure edge-to-cloud orchestration layers.

  • Operational Metrics Industrial Leaders Must Track in 2026: Identification of execution-focused KPIs defining uptime reliability, latency thresholds, deployment flexibility, cybersecurity resilience, interoperability maturity, and energy efficiency performance.

  • Ecosystem Convergence and Vendor Accountability: Exploration of how open interfaces, secure connectivity standards, and unified industrial data models are reshaping partnership strategies and redefining long-term platform viability.

  • Analyst Recommendations & Best Practices: Practical guidance for designing scalable edge architectures, governing distributed AI responsibly, ensuring interoperability across industrial layers, and embedding resilience into next-generation smart manufacturing environments.

Who Benefited from This Session

This session was designed for industrial operations, IT/OT convergence leaders, digital transformation heads, solution architects, and ecosystem partners navigating the next phase of industrial modernization.

Viewers gained exclusive access to QKS Group's Industrial AI & Edge Outlook 2026, supported by SPARK Matrix? intelligence, buyer-side insights, and vendor evaluations. The discussion provided structured clarity on where industrial AI and edge programs encounter friction at scale and the architectural, governance, and operational actions required to move from connected assets to intelligent, production-ready operations in 2026.

Speakers

speaker

Narayan Gokhale

Vice President & Principal Analyst - Research & User Consulting

Narayan Gokhale brings over three decades of global expertise and leadership to QKS Group, having worked across various countries, cultures, industries, and business functions. A seasoned professional with a passion for storytelling, Narayan has consistently demonstrated his ability to lead from the front, driving transformative strategies and delivering value to clients worldwide. His extensive experience spans numerous client-facing roles and business functions, with a particular focus on custom research, advisory services, and user consulting. Narayan’s key areas of expertise include thought leadership, customer success and advocacy, relationship management, and content marketing. He has worked extensively across industries such as Manufacturing, Industrial SCM & Logistics, Energy & Utilities, Smart Cities, and Facilities Management, offering strategic insights and fostering long-term growth. His recent work delves deeply into the integration of IT, OT, and ET domains, leveraging technologies such as IoT, AI, ML, Edge Computing, Digital Twins, and the Industrial Metaverse. Narayan’s contributions span cutting-edge sectors like cybersecurity, data analytics, asset management, and energy sustainability management, among others. His ability to bridge technology gaps and drive impactful change makes him a pivotal member of the QKS Group leadership team. Narayan’s extensive business travel across continents and his deep understanding of diverse markets and cultures continue to shape his perspective as a thought leader, further solidifying his reputation as a trusted advisor and visionary in the tech and business world.

speaker

Ignatius Daniel

Principal Analyst - Internet of Things (IoT)

Ignatius Daniel T is a Principal Analyst at QKS Group with over four years of experience in technology market research and advisory, specializing in Industrial IoT (IIoT), IoT connectivity, telecommunications, industrial asset management, and edge computing. He leads strategic research engagements, including market outlook studies, insights reports, and SPARK Matrix™ evaluations, leveraging strong research and consulting expertise along with competitive intelligence to deliver actionable insights. He has led multiple high-impact initiatives assessing industrial technology vendors across domains such as Product Lifecycle Management (PLM), OT security, edge management and orchestration, and asset performance management (APM). His work focuses on translating market intelligence into practical guidance, enabling technology providers and end users to refine strategy, prioritize investments, and navigate evolving technology landscapes with confidence.

speaker

Vyshak K

Principal Analyst - Edge Computing Systems

Vyshak is an experienced principal analyst at QKS Group, specializing in the dynamic fields of IoT (Internet of Things) and Edge Computing. In his role, Vyshak is deeply involved in the comprehensive research and analysis of market trends, technological advancements, and user expectations within these rapidly evolving sectors. His work is pivotal in the development of strategic market outlook reports, detailed technology guides, and the widely recognized SPARK Matrix Analysis, which offers a comparative evaluation of leading technology vendors based on their market positioning and performance. Vyshak's expertise extends to handling end-to-end consulting projects, where he collaborates closely with clients to address critical business challenges. This includes advising on technology architecture planning, vendor selection strategies, market entry tactics, and operational optimization. His insights help clients navigate the complexities of IoT and Edge Computing, ensuring they make informed decisions that align with their strategic objectives. Beyond his primary research and consulting responsibilities, Vyshak is an active participant in the broader industry community. He regularly engages in industry conferences, webinars, and thought leadership forums, where he shares his knowledge and perspectives on emerging trends and best practices.

speaker

Akaash R

Principal Analyst – Industrial Operations and Engineering Software

Akaash Ravikumar is a Principal Analyst at QKS Group, where he leads global research and strategic advisory in the domain of Industrial Operations and Engineering Software. His work spans research and advisory for a wide array of technologies that underpin the digital transformation of manufacturing and industrial enterprises, from frontline enablement and asset-centric intelligence to lifecycle engineering platforms and smart factory IT services. At the core of Akaash’s role is his leadership of QKS Group’s flagship SPARK Matrix™ evaluations, where he drives in-depth assessments of vendor capabilities, market presence, and innovation maturity across the industrial software landscape. His analysis provides crucial direction to both technology providers and enterprise buyers navigating complex decisions in areas like industrial automation, asset performance, and smart manufacturing infrastructure. In addition to market intelligence, Akaash plays an active role in client consulting and end-user advisory. He works closely with stakeholders across the industrial value chain from OEMs, system integrators, software providers, to end-user organizations, delivering tailored insights that inform product strategy, go-to-market planning, and technology adoption roadmaps. With a background that bridges procurement, supply chain, and enterprise SaaS ecosystems, Akaash brings a uniquely cross-functional perspective to the evolving interplay between IT and OT in industrial environments. His research is grounded in real-world execution maturity and industry dynamics, equipping clients with actionable intelligence to stay competitive in an era of operational convergence and digital reinvention.