Strategy of Things https://strategyofthings.io/ AI Innovation Lab | Research | Advisory | Acceleration Thu, 19 Mar 2026 23:45:41 +0000 en-US hourly 1 https://wordpress.org/?v=6.7.5 https://strategyofthings.io/wp-content/uploads/2017/10/cropped-SOT_LOGO_BLUE-1-e1508621688660-32x32.png Strategy of Things https://strategyofthings.io/ 32 32 The AI Scaling Problem Nobody Talks About Enough https://strategyofthings.io/ai-scaling-problem-leadership-structure https://strategyofthings.io/ai-scaling-problem-leadership-structure#respond Thu, 19 Mar 2026 23:45:39 +0000 https://strategyofthings.io/?p=8621 AI pilots are succeeding. Enterprise impact is not following. Across industries, organizations are accumulating pilot wins while the structural and infrastructure gaps that prevent those wins from reaching business performance go unaddressed.
This article draws on direct observations from fractional Chief AI Officer engagements to identify the scaling problems most organizations are not talking about enough, and what leadership teams can do to close the gap.

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Future-proofing your AI Infrastructure https://strategyofthings.io/future-proofing-your-ai-infrastructure https://strategyofthings.io/future-proofing-your-ai-infrastructure#respond Thu, 19 Mar 2026 17:59:52 +0000 https://strategyofthings.io/?p=8615 AI infrastructure investments are moving faster than most organizations can manage. Platforms are fragmenting. Vendors are pivoting. Regulatory requirements are tightening. For mid-market companies, a wrong bet is not just expensive. It is a setback there is no easy budget to recover from.

This post introduces a practical framework for future-proofing your AI infrastructure: a continuous lifecycle management strategy that helps CEOs, COOs, and CAIOs protect their investments, maximize flexibility, and manage change deliberately. Includes a self-assessment diagnostic and five action steps you can apply before your next AI investment decision.

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AI Is Everywhere. Enterprise Impact Isn’t. Here’s the Structure That Closes the Gap. https://strategyofthings.io/why-ai-projects-fail-to-scale https://strategyofthings.io/why-ai-projects-fail-to-scale#respond Wed, 18 Mar 2026 16:19:15 +0000 https://strategyofthings.io/?p=8601 AI is everywhere. For most organizations, meaningful business impact is not. Whether you are running a large enterprise or a mid-market company where every AI dollar has to earn its return, the challenge is the same: AI initiatives emerge faster than the structure needed to manage them.

This blog introduces the AI Operating Function, explains why it is missing in most organizations, and outlines what leaders can do to close the gap.

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Your AI Pilot Worked. So Why Isn’t It Scaling? https://strategyofthings.io/your-ai-pilot-worked-so-why-isnt-it-scaling https://strategyofthings.io/your-ai-pilot-worked-so-why-isnt-it-scaling#respond Tue, 17 Mar 2026 22:37:13 +0000 https://strategyofthings.io/?p=8598 Fifty-six percent of companies saw no impact from their AI projects. This highlights an uncomfortable truth: the main AI challenge most organizations face today is not building AI models; it is building environments where AI can operate reliably.

This blog discusses the four infrastructure barriers that block AI and outlines practical steps leaders should consider.

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The AI Build–Buy–Partner Decision: A Strategic Framework for Executives https://strategyofthings.io/the-ai-build-buy-partner-decision-a-strategic-framework-for-executives https://strategyofthings.io/the-ai-build-buy-partner-decision-a-strategic-framework-for-executives#respond Tue, 10 Mar 2026 00:53:15 +0000 https://strategyofthings.io/?p=8548 AI enables organizations to transform their operations, enhance responsiveness, resilience and facilitate customer experience. While the decision to adopt AI is straightforward, organizations are faced with a "build, buy, partner" decision - build it themselves, buy and integrate technology, or partner with another organization to co-develop it together.

This article discusses some of the key management considerations involved in making a decision.

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Your AI initiatives may be dead on arrival https://strategyofthings.io/your-ai-initiatives-may-be-dead-on-arrival https://strategyofthings.io/your-ai-initiatives-may-be-dead-on-arrival#respond Fri, 13 Feb 2026 06:36:00 +0000 https://strategyofthings.io/?p=8497 Eighty percent of AI projects fail. One of the reasons is the lack of data to train the AI model. Many enterprises underestimate getting the right data from the right places they need to support AI-enabled systems and operations. Without this foundation, AI initiatives stall, underdeliver, or fail to scale.

This blog explores why data and connectivity are critical to enterprise AI success and outlines practical steps leaders should consider.

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The Generative AI opportunity for IoT (Internet of Things) Part Two https://strategyofthings.io/the-generative-ai-opportunity-for-iot-internet-of-things-part-two https://strategyofthings.io/the-generative-ai-opportunity-for-iot-internet-of-things-part-two#respond Tue, 04 Mar 2025 08:36:51 +0000 https://strategyofthings.io/?p=8372 Generative AI for IoT provides significant value and transformational benefits for adopting businesses. However, generative AI is still an emerging and evolving technology, and its adoption brings a variety of challenges and risks to businesses considering its use.

This article provides business leaders with an overview and understanding of some of the key generative AI for IoT risks and possible mitigation approaches.

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The Generative AI opportunity for IoT (Internet of Things) Part One https://strategyofthings.io/the-generative-ai-opportunity-for-iot-internet-of-things-part-one https://strategyofthings.io/the-generative-ai-opportunity-for-iot-internet-of-things-part-one#respond Tue, 04 Mar 2025 08:35:29 +0000 https://strategyofthings.io/?p=8310 The use of generative AI for IoT is poised to revolutionize business operations, automation, and decision-making. By combining structured and unstructured data, generative AI for IoT brings new capabilities and intelligence to enhance processing and analysis of operational data.

This article provides business leaders with an understanding of what generative AI for IoT is, and five opportunities that it provides businesses who adopt it.

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The key to successful AI projects: Start with the right problem https://strategyofthings.io/successful-ai-starts-with-the-right-problems https://strategyofthings.io/successful-ai-starts-with-the-right-problems#comments Sat, 25 Jan 2025 18:03:56 +0000 https://strategyofthings.io/?p=7996 Four out of five AI projects fail. One of the top causes of these failures is related to the problems AI is asked to solve. If you fail to specify the problem correctly from the start, you’re setting yourself up for failure before the first algorithm is even written.

This article provides business leaders with best practices and practical guidance on finding and selecting the right problems that lead to successful AI projects.

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Different types of AI systems: A primer https://strategyofthings.io/different-types-of-ai-systems-a-primer https://strategyofthings.io/different-types-of-ai-systems-a-primer#respond Tue, 24 Dec 2024 20:02:10 +0000 https://strategyofthings.io/?p=7926 AI is not one technology, but many different types of artificial intelligence technologies. Each type of AI has different capabilities, strengths, and weaknesses. Applying the wrong type of AI technology to a task can lead to poor results and unacceptable risks.

This article provides business leaders with a working overview of the different types of AI to educate and inform on strategic decision-making around artificial intelligence initiatives.

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