Category: Blogs
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What Are AI Tokens? A Business Leader’s Guide to AI Spend
AI tokens measure content processing in AI systems, influencing costs and workflows. Understanding their role helps business leaders evaluate AI effectiveness, prioritize valuable applications, and assess the balance between token usage and desired outcomes efficiently.
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What to Rehost, Replatform, Refactor, or Rebuild
The right modernization strategy for applications hinges on addressing specific business needs, with options including rehosting, replatforming, refactoring, or rebuilding, tailored to enhance scalability, maintainability, and cost-effectiveness without unnecessary disruption.
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Microsoft Work IQ Shows Why Businesses Need an AI Readiness Plan Before Adding More Tools
AI adoption is evolving from independent tools to integrated agents that enhance workflows across systems. Organizations must assess data access, governance, and measurable outcomes to maximize AI’s potential while ensuring human oversight and control remain intact.
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How to Fix Fragmented Data Before It Slows Analytics and AI
Fragmented data hampers analytics and AI due to unreliable information spread across systems. Organizations must establish a solid data foundation with clear definitions, ownership, and governance to ensure trust and usability for effective decision-making.
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When Custom Applications Create More Value Than Packaged Software
Custom applications provide greater value than packaged software when business processes are unique or complex, as they enhance connectivity and efficiency. The goal is to create seamless workflows rather than merely adding more tools.
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How to Reduce Environment Drift and Manual Deployment Risk
Environment drift compromises consistency across development, testing, and production systems, escalating deployment risks and delaying releases. Establishing source control, automating deployments, and standardizing components can mitigate these issues and enhance software delivery.
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Agent Identity Is the Missing Control Plane for Enterprise AI
Effective Identity and Access Management is crucial for the safe introduction of AI agents. Clear identities, permissions, and audit logs prevent unmanaged access, ensuring accountability and fostering trust in automated systems.
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AI Agents vs Automation: Key Differences and When to Use Each
AI agents vs automation explained. Understanding this distinction is the difference between scalable AI and unnecessary risk. Learn the key differences, when to use each, and how to build a safe, scalable enterprise AI strategy.
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Why Enterprise AI Agents Fail: Fragmented Data and Multiple Sources of Truth
Enterprise AI agents often fail due to fragmented contexts and unreliable data sources. Establishing governed, authoritative information and implementing retrieval systems can improve accuracy and trustworthiness in outputs.
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RAG Explained: The Smart AI Strategy
Retrieval augmented generation (RAG) enhances AI effectiveness by extracting information from trusted internal sources, improving efficiency without replacing legacy systems, while ensuring compliance and minimizing risks through human oversight.