| | FEBRUARY 20266CIOReviewAs expectations rise and constraints tighten, organizations are translating edge intelligence, legacy modernization, and applied AI into operational capability that delivers consistency, speed, and control at scale.In this edition, our cover story spotlights Edge Impulse, recognized as the Top Edge AI Development Platform 2026, for reshaping how intelligence is built and deployed at the source of data. By enabling teams to train, optimize, and deploy models directly on edge devices, the platform addresses the practical barriers that often stall cloud-centric AI, including latency, bandwidth limits, and hardware constraints. The emphasis is not experimentation but usability. Models move from development to field deployment quickly, allowing organizations to operationalize intelligence where decisions actually occur. The result is scalable edge capability grounded in real-world performance.Execution discipline is equally critical in core system modernization. Enterprises cannot simply replace legacy environments without risking the embedded business logic that keeps operations running. Incremental transformation has become the more sustainable path. Heirloom Computing, recognized as the Top IBM Mainframe Modernization Solution 2026, exemplifies this approach by enabling organizations to transition gradually while preserving institutional knowledge and maintaining architectural control. Modernization becomes structured and predictable rather than disruptive, balancing progress with operational continuity.Alongside platforms and infrastructure, demand is growing for AI services that fit the realities of regulated and process-intensive sectors. Off-the-shelf tools rarely align with existing workflows or compliance requirements. Organizations need tailored solutions that integrate strategy, custom development, and systems alignment. Advisor Labs, recognized as the Top AI Digital Transformation Consulting Service 2026, supports this shift by guiding clients from early experimentation toward repeatable, scalable adoption. The focus remains on embedding AI into daily operations rather than treating it as a standalone initiative.Leadership perspectives throughout the edition reinforce the same principle. Resilience and execution readiness now define technology success. At Jefferies, Lynne Davis, CIO - Global Head of Wealth Management Information Technology, emphasizes planning centered on mission-critical services to ensure stability during disruption. Meanwhile, at Paramount Global, John B. Narus, Vice President, Digital Transformation, Product Platforms, Portfolio Management, highlights the importance of connecting strategy directly to delivery across complex, large-scale environments. Both perspectives point to the same conclusion. Discipline in execution separates intent from impact.Taken together, these stories reflect a leadership mindset grounded in clarity, accountability, and control. In today's environment, enterprise technology advantage is earned through dependable performance, not bold claims. Let us know your thoughts.EditorialTurning Intelligence into Operational AdvantageCopyright © 2026 ValleyMedia, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.CIOReviewEmail:sales@cioreview.comeditor@cioreview.commarketing@cioreview.com FEBRUARY 16, 2026, Vol 15, Issue - 07 (ISSN 2644-237X) ValleyMedia, Inc.To subscribe to CIOReviewVisit www.cioreview.com Editorial StaffAaron PierceCarolynn WaltersShirley FaithRussell ThomasGina ClumskyYenny TurnerTiffany HayworthAbner LawrenceVisualizersWill FortEdwin Paul*Some of the Insights are based on our interviews with CIOs and CXOsJustin Smith Managing Editoreditor@cioreview.comManaging EditorJustin Smith
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