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5 findings from O'Reilly's machine learning adoption survey companies should know

O'Reilly Media - Data

New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work. What metrics are used to evaluate success?

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How AI can alleviate help desk workloads

CIO

That means organizations are lacking a viable, accessible knowledge base that can be leveraged, says Alan Taylor, director of product management for Ivanti – and who managed enterprise help desks in the late 90s and early 2000s. “We Ivanti’s service automation offerings have incorporated AI and machine learning.

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Why your IT team needs to upgrade its digital employee experience (DEX)

CIO

Lack of DEX data undermines improvement goals This lack of data creates a major blind spot , says Daren Goeson, SVP of Product Management at Ivanti. Establish DEX metrics and equip IT with the DEX management processes and tools to monitor, collect, analyze, and present this data.

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How Facebook fights fake news with machine learning and human insights

The Parallax

To combat fake (or “false”) news, McNally says, Facebook now employs a wide range of tools ranging from manual flagging to machine learning. The “false” moniker, McNally told an audience of 500 Silicon Valley tech company employees gathered here Wednesday for the Fighting Abuse @Scale event , “emphasizes its toxicity and harmfulness.”.

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Practical Skills for The AI Product Manager

O'Reilly Media - Ideas

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

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What you need to know about product management for AI

O'Reilly Media - Ideas

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Machine learning adds uncertainty.

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AI Product Management After Deployment

O'Reilly Media - Ideas

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.