Apr 01, 2025 |  Today’s news and insights

The reasoning Claude presents to users doesn’t always reflect how the AI actually arrived at its answers. Anthropic studied this and other paradoxes of a machine that pretends to think.

Anthropic’s Model Context Protocol is effectively a universal language that can be used to develop two-way connections between a wide range of AI models and third-party data sources.

If you're an enterprise business owner, global growth and expansion are likely top priorities for 2025. However, achieving this goal can be challenging, particularly when managing international teams or serving customers from diverse language backgrounds.

Employ this checklist in your server-to-cloud migration and ensure such projects are well organized and proceed in proper order. Read More

This short survey will help us understand the role that your organization's sustainability concerns plays in IT decision-making and which technologies might help address your IT sustainability goals.

Your feedback is invaluable, and your responses will be aggregated with others for reporting purposes, keeping your identity confidential. 

Work smarter, not harder, with AI-driven solutions for all your tasks — from analyzing data to crafting content, DeskSense is here to make your life easier.

Explore the top data governance tools of 2025 designed to enhance data security, compliance and management.

The business prospect: making it easier for companies to build their own AI agents. The context: Even the most successful AI companies are still working on how to generate revenue that justifies investments.

Microsoft’s .NET MAUI lets developers build cross-platform apps in C#, but its use of binary blob files poses new risks by bypassing Android’s DEX-based security checks.

Learn how Microsoft’s AI reasoning agents Researcher and Analyst work and when these tools will be available.

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a pivotal moment in AI history.

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Written by Mary Weilage

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