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The ML Observability Checklist

insideBIGDATA

This checklist from our friends over at Arize covers the essential elements to consider when evaluating an ML observability platform. Whether you’re readying an RFP or assessing individual platforms, this buyer’s guide can help with product and technical requirements to consider across a number of areas discussed in this useful resource.

ML 222
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Beyond Explainability: A Practical Guide to Managing Risks in Machine Learning Models

KDnuggets

This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. Download now.

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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. Machine learning The 6 key trends you need to know in 2021 ? Download the free, unabridged version here.

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Predictive AI in Customer Experience: What Works Today

Flipboard

While many organizations continue to rely on traditional reactive models, forward thinking companies are using AI and machine learning to anticipate customer needs before they arise, creating loyalty and sustainable competitive advantage. And How It Works High ROI Predictive CX Use Cases Acquisition & Activation 1.

AI 131
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Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. What motivated you to participate?

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31 Questions that Shape Fortune 500 ML Strategy

Towards AI

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. The white paper goes into great depth on the concept of MLOps, its lifecycle, capabilities, and practices. Source: Image by the author. Source: Image by the author.

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Build or Buy an Enterprise Data Catalog: Top 6 Considerations

Alation

Data and analytics leaders must investigate and adopt ML-augmented data catalogs as part of their overall data management solutions strategy.”. Do you have the machine learning expertise to capture technical, operational, business and social metadata metadata? Download White Paper. Subscribe to Alation's Blog.