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FinOps is the discipline enterprises need to optimize cloud spending

CIO Business Intelligence

Upchurch is an accomplished IT executive with more than 24 years of experience leading global managed hosting, managed application, cloud, and SaaS organizations. Going back after the fact to optimize for cost while you’re still trying to operate and grow can make things even harder.” Cloud Computing

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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Where ML Research Meets Data Science Practice: Markdown Optimization & Uplift Modeling

Dataiku

To kick off every year, we host a technical webinar with members of our AI Labs research team in order to hone in on some of the hot ML trends we’ll likely see more of in the coming year. By now, you probably already know the drill.

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SAP Industry Insights Podcast Highlights of 2021 with Host Tom Raftery

Timo Elliott

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) Most people rent skis rather than buying, because it’s easier and cheaper and more convenient — so why not apply that model to more things? The logic of the argument was very convincing.

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Big Data Has Transformed The Web Hosting Market On Both Ends

Smart Data Collective

Cloud technology has had a profound impact on the web hosting profession. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. Big data is streamling hosting services, enhancing the user experience and improving customer support. Be Aware of Pricing Tricks.

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Large Language Models and Data Management

Ontotext

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. But there are also a host of other issues (and cautions) to take into consideration. LLM is by its very design a language model. The technology is very new and not well understood.

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DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimized GPU Workloads at Scale

DataRobot

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. This allows for the pipelining of incredibly complex inference models.