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FinOps automation: Raising the bar on lowering cloud costs

CIO Business Intelligence

Case studies: Intuit and Roku Intuit Jason Rhoades, the development manager at Intuit, leads the companys FinOps team. From 2016 to 2023, Intuit built a team focused on optimizing prepayment to control cloud costs and allocating those costs. See also: Will FinOps help reduce cloud waste in organizations? Contact us today to learn more.

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IDG Contributor Network: What is OWASP, and why it matters for AppSec

Network World

Modern software development is firmly focused on speed. To innovate, companies develop at breakneck pace, quickly establishing feedback loops that allow them to hone their software. Security, however, is often an afterthought for stressed developers and the business people pushing them to deliver faster.

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You’ve Got the Data. Why Can’t Your Developers Build with it?

CIO Business Intelligence

Developers who build the real-time experiences that customers love need a tech stack that lets them access data quickly and easily. So how can we simplify and accelerate the way developers build real-time apps? And developers discover new ways of solving problems together – fast. Developers need the right tools.

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Delivering better business outcomes for CIOs

CIO Business Intelligence

AI models are often developed in the public cloud, but the data is stored in data centers and at the edge. Instead, applications are developed once and then run on the most effective infrastructure, whether that’s public or private cloud or at the edge. He is reachable through his website: mtwriting.com.

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Google unveils next-generation AI chip Trillium

Network World

With Multislice, developers can scale workloads up to tens of thousands of chips over inter-chip interconnect (ICI) within a single pod, or across multiple pods over a data center network,” Vahdat explained last year in a blog post co-written with his colleague Mark Lohmeyer. Google launched the first iteration of its TPU in 2016.

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NIST finally settles on quantum-safe crypto standards

Network World

NIST first asked cryptographers to develop these new standards in 2016, when the threat of quantum computers started becoming a reality. It was originally developed by IBM researchers. ML-DSA This algorithm was originally known as CRYSTALS-Dilithium and was also originally developed by IBM.

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8 major IT disasters of 2024

CIO Business Intelligence

And way back in 2016, Tay, an experimental AI chatbot Microsoft let loose on Twitter, voiced support for genocide and for Nazis. The company, in an odd explanation, blamed developers who tried to cut boot times with some software modifications. But the thing is this isnt the first Microsoft chatbot thats gone rogue.

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