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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.

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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. Give this technique a try to take your team’s ML modelling to the next level. Download the free, unabridged version here.

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Predictive AI in Customer Experience: What Works Today

Flipboard

Impact: Companies implementing ML-based lead scoring report up to 20% lift in B2B SaaS conversions by focusing sales efforts on prospects most likely to convert. Impact: Organizations using ML-optimized send timing report 20-25% higher engagement rates compared to traditional scheduling approaches.

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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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5G use cases that are transforming the world

IBM Journey to AI blog

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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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.”. To find out more about their data cataloging journeys, download our exclusive white paper, The Enterprise Data Catalog: Build or Buy? Download White Paper.