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Category: DATA & AI

Service Portal Upgrade Notice

DOCUMENTATION On June 1, if you attempt to log into the Employee Service Center using your existing URL, you will see a notice informing you that the portal has been upgraded and directing you to log in to the Business Portal instead. Please use the link above to access the new portal

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CYBERSECURITY

What Are the Common Risks of AI in an Organization? And How to Be Ready

BLOG ARTICLE Table of Contents Artificial intelligence is no longer a future promise. It is already embedded in how organizations hire, decide, recommend, detect, automate, and interact. Generative AI tools in knowledge work, machine‑learning models driving fraud detection or customer experience, and other news is changing the course of human

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DATA & AI

Data classification and labeling for AI: what to do first

BLOG ARTICLE Table of Contents Data classification and labeling for AI is the fastest way to reduce AI risk without slowing work. When AI systems can summarize and recombine organizational content instantly, proper data classification becomes the control layer that protects sensitive data while keeping employees productive. Why classification becomes

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Blog

Copilot security and compliance readiness: a leader friendly guide

BLOG ARTICLE Table of Contents Microsoft 365 Copilot security readiness is not about creating new controls. It is about making your existing controls work at AI speed. Copilot increases how quickly people can find, summarize, and reuse organizational data, so leaders need predictable permissions, consistent information protection, reliable Data Loss

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DATA & AI

AI Governance for Mid-sized Companies: A Practical Framework & Roadmap

BLOG ARTICLE Table of Contents Many businesses are facing a major gap in AI governance. But as the pressure for AI technology adoption in mid-sized companies increases, businesses need to modernize their infrastructure quickly. As companies explore AI-powered tools, they often neglect to implement proper governance. This leads them to

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DATA & AI

A Practical Data Governance Framework That Prepares Your Data

BLOG ARTICLE Table of Contents A practical data governance framework defines the rules and processes, ownership, controls, and operating cadence required to manage data as a strategic asset. In this way, your enterprise data becomes trusted, secure, discoverable, and usable for analytics and AI. Industry analysts and vendors consistently frame

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