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Why every librarian needs to be involved in shaping your AI Policy

CILIP

CILIP Employers' Forum This year's emloyer's forum brings together library and information professionals to hear from speakers in the industry on how they developed their artificial intelligence policies, and participate in a workshop to develop your own policy on artificial intelligence.

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Vulnerability Recap 4/1/24: Cisco, Fortinet & Windows Server Updates

eSecurity Planet

Vendors and researchers disclosed a wide range of vulnerabilities this week from common Cisco IOS, Fortinet, and Windows Server issues to more focused flaws affecting developers (PyPI), artificial intelligence (Ray, NVIDIA), and industrial controls (Rockwell Automation). The fix: Update affected versions ASAP: FortiClient EMS 7.2:

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IBM watsonx.ai: Open source, pre-trained foundation models make AI and automation easier than ever before

IBM Big Data Hub

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. This is usually text, but it can also be code, IT events, time series, geospatial data, or even molecules. We’re actively working on more enhanced developer experience that offers useful libraries and code samples.

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[Podcast] Behind the Scenes at AIIM's Leadership Council Summit

AIIM

For over 10 years now, AIIM's Leadership Council (LC) summit series has been the go-to event where the forward-thinking professionals in information management gather to delve into matters impacting the future of the industry. The discussion from those events was developed into a report: Surviving Digital Disruption (available for download).

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How the Recording Academy uses IBM watsonx to enhance the fan experience at the GRAMMYs®

IBM Big Data Hub

This year, the business challenge facing the GRAMMYs paralleled those of other iconic cultural sports and entertainment events: in today’s highly fragmented media landscape, creating cultural impact means driving captivating content across multiple digital channels. But until now, content production had been highly manual and laborious.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

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AI & ML Cybersecurity: The Latest Battleground for Attackers & Defenders

eSecurity Planet

Machine learning (ML) and artificial intelligence (AI) have emerged as critical tools for dealing with the ever-growing volume and complexity of cybersecurity threats. It’s not uncommon for security information and event management (SIEM) to include ML modules to detect network vulnerabilities and respond automatically.