Tag: AI Implementation
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AI Governance Depends on How Teams Use Data
Gartner forecasts that by 2027, 60% of organizations failing to address cultural challenges will struggle with AI governance. Effective data governance requires clear policies, shared responsibility, and integrating practices into daily workflows for success.
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AI Is Beginning to Change Legacy-System Migrations
Microsoft’s Dynamics 365 Activate, launched on September 9, is an AI-driven tool aimed at simplifying the migration from Salesforce to Dynamics 365 by analyzing existing CRM complexities. Effective modernization, however, still relies on strategic business decisions.
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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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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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AI Agents in the Enterprise: Security Risks, Governance, and a Safe Implementation Framework
AI agents are entering enterprise workflows, but security is the primary barrier to adoption. Learn how to implement AI agents safely with governance, auditability, and human-in-the-loop controls.