Getting AI Right: Focus on What Matters
Most companies are experimenting with AI but few are seeing results. The gap between hype and impact keeps widening. This article offers a practical framework: four fundamentals that cut through the noise — starting from value, modernizing architecture, activating the organization, and making change possible with the lightest governance that works.
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AI Posture & Roadmap
Overview AI is finding its place in business, but impact remains elusive. Most organizations are testing ideas, yet few have successfully linked them to how value is created – in cost, growth, or innovation. The issue is not the technology itself, but how it fits into the value proposition, business design, and decision processes. This engagement helps leadership teams confront those choices and answer a few practical questions: The work translates those questions into a structured AI portfolio – which initiatives improve efficiency, which drive growth, and which open new forms of advantage. It also defines what’s required to operate…
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Data, Analytics & AI Strategy
Businesses generate large volumes of data and experiment with AI. The real challenge is translating their potential into performance — embedding insight, prediction, and automation into how the business operates every day. This engagement helps leadership teams define how data and AI create business advantage: where they can change performance, what capabilities are required, and how to organize for sustained impact. It connects data architecture, analytics, and AI with business priorities and operating models — creating a single view of direction, investment, and governance. The work builds on the Digital Strategy Framework, deepening two of its core dimensions — Data…
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The Hard Job of Driving Value from AI
Generative AI arrived with bold promises, but history offers a clear lesson: PCs, e-commerce, and mobile all took years to deliver real impact. Pilots are everywhere; structural gains are not. This article explores why value will be slow to materialize — and what it takes to move from experimentation to transformation.
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Building a Digital Business Platform with Microsoft Tech
Microsoft’s digital business platform vision integrates modular applications, flexible infrastructure, and AI technology. Key components include Dynamics 365 for composable architecture, Dataverse for unified data services, and Microsoft Fabric for analytics. Power Platform enables low-code development, supporting scalable and compliant solutions within a vendor-neutral ecosystem, including integration with SAP systems.
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Digital Business Platform
Legacy architectures and technical debt slow digital transformation, increase costs, and hinder agility. A Digital Business Platform addresses these challenges by integrating composable business architectures, common data services, AI-driven analytics, and centralized DevOps. This platform-oriented approach accelerates innovation, simplifies IT management, and enables scalable, secure, and efficient digital operations for modern enterprises.
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Digital Transformation: A Framework 