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How to Scale AI Infrastructure Effectively, Without Sacrificing Cost Efficiency

insideBIGDATA

Read this white paper, "Investing in AI Infrastructure," from our friends over at IDC and Supermicro that explores how to scale AI infrastructure effectively, without sacrificing cost efficiency.

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USGIF Releases New White Paper: The Evolving Role of Synthetic Data in GEOINT Tradecraft 

insideBIGDATA

Recent advancements in AI have created many opportunities in the GEOINT field, not only by improving imagery analysis techniques, but also by creating synthetic training data for AI algorithms to work more efficiently and accurately. Prior to the innovation of synthetic training data, human inputs would be needed for training AI algorithms.

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New Report: The Definitive Guide to Large Language Models and High-Performance Marketing Content

insideBIGDATA

Phrasee, a leading innovator in brand language optimization, just released a new white paper "The Definitive Guide to Large Language Models and High-Performance Marketing Content," on how enterprise marketers can build an in-house LLM solution and use it at its full potential.

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Deep Learning Tools Could Compound Returns on Technical Analysis Trading

Smart Data Collective

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

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The 2021 Executive Guide To Data Science and AI

Applied Data Science

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Case-studies from real-life business scenarios and advice you can act on. Download the free, unabridged version here.

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Responsible AI Relies on Data Literacy

DataRobot

rule-based AI , machine learning , deep learning , etc.) Evaluation metrics for machine learning models: Understanding evaluation metrics, what they optimize for, and how they intersect with AI fairness principles gives stakeholders the language necessary to qualify risks associated with AI systems. WHITE PAPER.

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NLP News Cypher | 09.13.20

Towards AI

As a result, folks at RISE in Sweden wrote an interesting white paper on data readiness for those applying NLP across businesses/institutions. Oftentimes, we can overlook pain-points that can arise when dealing with data prior to the start of project.