scott.d.alexander
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Navigating the Future: A CIO’s Strategic Guide to Agentic AI and AI Governance
The rise of Agentic AI demands that CIOs strategically align its autonomous power with a robust AI Governance Framework, ensuring ethical compliance, accountability, and secure innovation to future-proof the enterprise.
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Data, Analytics, and AI Priorities for Technology Leaders in 2026
Most organizations are still treating AI like a science fair project—lots of excitement, impressive demos, and a participation ribbon. Meanwhile, your competitors are figuring out how to actually launch their initiatives. The trophy goes to whoever moves fastest. And it will move even faster in 2026.
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Bridging the Gap: How Analytics Leaders Can Align with Enterprise Strategic Objectives
Analytics leaders must transform from technical specialists into strategic partners by aligning their work with enterprise objectives, speaking the language of business outcomes, and demonstrating measurable value that directly influences key decisions and competitive advantage.
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Beyond the AI Hype: Building Real Value Through Data and Change Management
As a AI and Data consultant for the past 25+ years I have spent a good amount of time as a filter for clients helping them determine what’s real, what’s hype, and how they should proceed. Here’s a summary of my thoughts on this.
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Is Your Data & Analytics Program Actually Working? 5 Questions Every Leader Needs to Ask
You’ve invested in data tools and hired analysts, but is your program actually driving results? Before your next investment, ask these five critical questions to determine if your data initiatives are paying off or just draining resources.
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Navigating Todays Economic Uncertainty: Why Mid-Market Industrial Companies Must Embrace Data and AI
Mid-market industrial companies face challenges from unpredictable tariffs and supply chain disruptions. Building resilience through data and AI is crucial for competitive advantage and efficient decision-making in this volatile landscape.
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The Fractional CDAO: A Strategic Solution for Time and Budget-Strapped CTOs and CIOs
In today’s data-driven business landscape, organizations face mounting pressure to extract meaningful insights from their growing volumes of information. Yet many mid-sized companies find themselves in a challenging position: they need sophisticated data leadership but can’t justify the cost of a full-time Chief Data and Analytics Officer (CDAO). For CTOs and CIOs navigating this gap,…
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Why Every Finance and Operations Leader Needs a CDAO for Data Success
Many organizations struggle to extract value from data investments because technology leaders focus on infrastructure, not analytics strategy. A Chief Data and Analytics Officer (CDAO) complements CIOs by translating business needs into data outcomes, accelerating stalled projects, establishing governance, and building analytics maturity—delivering returns without requiring full-time headcount commitment.
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Being a SMB Doesn’t Mean Being Left Out of the Data and AI Game
In today’s data-driven business landscape, small and medium-sized businesses face a critical challenge: they recognize the transformative potential of data and analytics but lack the resources to hire a full-time C-suite executive to lead these initiatives. Enter the fractional Chief Data and Analytics Officer (CDAO)—a strategic solution that brings enterprise-level data leadership to SMBs at…