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How process mining improves IT service management to save your business time and money

IBM Big Data Hub

Any issues with these applications can lead to decreased productivity, wasted time and potential security risks. Similarly with ticket reopens: if a ticket is reopened after being resolved, it indicates the need to address an issue with training or IT resources. Process mining is an ideal solution to start planning for automation.

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Security Affairs newsletter Round 326

Security Affairs

Every week the best security articles from Security Affairs free for you in your email box. ransomware gang BlackMatter ransomware also targets VMware ESXi servers Conti ransomware affiliate leaked gang’s training material and tools Conti Leak Indicators – What to block, in your SOC…. Pierluigi Paganini.

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2021 Predictions Are Foolhardy – Here Are Four of Mine

KnowBe4

The post 2021 Predictions Are Foolhardy – Here Are Four of Mine appeared first on MediaPRO.

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ShadowRay Vulnerability: 6 Lessons for AI & Cybersecurity

eSecurity Planet

The dispute between Ray’s developers and security researchers highlights hidden assumptions and teaches lessons for AI security, internet-exposed assets, and vulnerability scanning through an understanding of ShadowRay. The tool boasts a customer list that includes DoorDash, LinkedIn, Netflix, OpenAI, Uber, and many others.

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Built for high throughput, they are especially effective for parallel processing tasks, such as training large-scale deep learning applications. In the field of artificial intelligence, GPUs are chosen for their ability to perform the thousands of simultaneous operations necessary for neural network training and inference.

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LW ROUNDTABLE: Cybersecurity takeaways of 2023 — and what’s ahead in 2024 ( part 2)

The Last Watchdog

Their guidance: Brandon Colley , Principal Security Consultant, Trimarc Security Colley Some 10-year-old vulnerabilities are still wildly prevalent. In the coming year, we also expect to see organizations work to close the disconnect between their DevOps and security teams.

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Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Big Data Hub

To train LLMs, developers use massive amounts of data from various sources, including the internet. While LLMs are knowledgeable about a wide range of topics, they are limited solely to the data on which they were trained. SLMs are trained on 10s of billions of parameters, while LLMs are trained on 100s of billions of parameters.

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