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Managing risk in machine learning

O'Reilly Media - Ideas

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Developers have taken notice and are beginning to learn about ML.

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2021 Data/AI Salary Survey

O'Reilly Media - Ideas

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? Were those concerns reflected in new patterns for employment?

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security. percent of U.S.

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RISELab’s AutoPandas hints at automation tech that will change the nature of software development

O'Reilly Media - Ideas

In a survey we released earlier this year, we found that more than 60% of respondents worked in organizations that planned to invest some of their IT budgets into AI. But we are also beginning to see AI and machine learning gain traction in areas like customer service and IT.

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How organizations are sharpening their skills to better understand and use AI

O'Reilly Media - Ideas

So, what exactly are the skills data scientists and other tech titles are honing in response to this shift? As the co-chair of the O'Reilly Artificial Intelligence conference, I regularly track broad changes in consumption patterns and preferences on our platform. Machine Learning with Python Cookbook.

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Assessing progress in automation technologies

O'Reilly Media - Ideas

In this post, I share slides and notes from a keynote Roger Chen and I gave at the Artificial Intelligence conference in London in October 2018. To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. This concurs with survey results we plan to release over the next few months. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning.