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How to NOT Have Your Data Trained on by AI Across Leading LLMs

Submitted by peter on Thu, 11/27/2025 - 08:00

Large Language Models (LLMs) have become indispensable tools for businesses, but a key concern persists: How do you ensure your private or proprietary data isn’t used to train these models? This guide covers the most notable LLMs, their policies, and actionable steps to safeguard your data. Links to turn off data training for each tool are provided for easy access.

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Are Managed Print Programs a Cost Savings for SMBs?

Submitted by peter on Wed, 11/19/2025 - 16:00

In today’s digital age, where automation and cost-efficiency reign supreme, Managed Print Programs (MPPs) have emerged as a solution for businesses aiming to optimize their printing operations. But for small and medium-sized businesses (SMBs), the question remains: Are MPPs truly a cost-saving investment, or is it just another overhead expense?

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Prompting in the GPT‑5 Era: From Single Prompts to Agentic Systems

Submitted by jordan on Wed, 11/12/2025 - 16:00

Facet’s take for SMEs and enterprise leaders who want repeatable results, not one‑off clever prompts.

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How to Hold Managed Service Providers (MSPs) Accountable

Submitted by peter on Wed, 11/12/2025 - 16:00

Accountability fosters trust: In any MSP relationship, accountability ensures that both parties meet their obligations, fostering a productive and long-term partnership.

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Quality Systems Factors in Automation Engineering with AI

Submitted by jordan on Thu, 07/18/2024 - 17:00

Automation engineering with AI has become a cornerstone of modern quality systems. As organizations strive to improve efficiency, reduce costs, and enhance overall performance, understanding the key factors that contribute to a robust quality system is essential. Below, we explore the crucial components of quality systems in the context of automation engineering with AI, providing insights into how these elements can drive success.

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