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What is a prefabricated tower, and where are they used? From military training and security operations to industrial facilities and communications infrastructure, prefabricated towers provide elevated access, visibility, and functionality. #manufacturingpanelbuilt.com/blog/prefabri…
One month to go! ⏳ The Annual ISDA Meeting is almost here—register NOW before it’s too late. This is the FINAL week to secure your rooms at the discounted group rate (last day is this Friday, 4/17)! 🏜️
"Leading well in the age of #AI is about balance. You need to know when to let algorithms lighten the load — and when to carry the weight on your own shoulders so your judgment stays strong."
AI agents are semi- or fully autonomous systems that can perceive, reason, and act independently, integrating with software platforms to complete multistep tasks with minimal human oversight. But there are a host of risks and challenges that companies need to be aware of as agentic AI matures.
Learn more: bit.ly/4c1Gkri
ALT List graphic titled 'The Risks of Agentic AI': 1. Irregular reliability and unethical behavior. 2. Cybersecurity. 3. Accountability. Each of the three points has a brief description that follows.
The deadline to book your rooms for our 53rd Annual ISDA Meeting in Scottsdale, AZ, is April 17th - don’t delay, spots are filling fast. Let us know if you need the room booking link!
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AI agents are semi- or fully autonomous systems that can perceive, reason, and act independently, integrating with software platforms to complete multistep tasks with minimal human oversight. But there are a host of risks and challenges that companies need to be aware of as agentic AI matures.
Learn more: bit.ly/4c1Gkri
ALT List graphic titled 'The Risks of Agentic AI' 1. Irregular reliability and unethical behavior. A rogue AI agent deciding to reject a mortgage loan or college admissions decision based on faulty information can do just as much damage — or more — than simple hallucinations. 2. Cybersecurity. As AI agents gain permissions to access different datasets and enterprise systems to automate tasks, don’t underestimate the importance of building robust permission-based systems. 3. Accountability. Organizations need to clearly delineate who bears responsibility when agentic AI makes an error or causes harm, Kellogg said. They should pay special attention to the possibility of system malfunctions, especially if the AI agent is autonomously performing workflows with minimal or no human supervision.