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FINRA CIO Steve Randich pushes the public cloud forward

CIO Business Intelligence

But for two years, we were testing limits within the public cloud.” Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. We spent about a year and a half going through several bottlenecks, taking them out one at a time with Amazon engineers.

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings. This is where the Retrieval Augmented Generation (RAG) technique comes in. We introduce the integration of Ray into the RAG contextual document retrieval mechanism. Outputs[?

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. They differ from virtual machines in that they leverage the features and resources of the host OS versus requiring a guest OS in every instance.

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6 benefits of data lineage for financial services

IBM Big Data Hub

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Download the Gartner® Market Guide for Active Metadata Management 1. How will one decision affect customers?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. What’s the motive? The line is moving much quicker than expected… what gives? You shrug it off, drive up to the window, and place your order.

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