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5 things on our data and AI radar for 2021

O'Reilly on Data

Here are some of the most significant themes we see as we look toward 2021. MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. The Time Is Now to Adopt Responsible Machine Learning. What will that lead to in 2021?

Data Lake 289
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TransUnion transforms its business model with IT

CIO Business Intelligence

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. The multilayered data platform will enable TransUnion’s customers to perform deep analytics and build complex AI models. But following its $3.1

Modeling 114
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2021 Data/AI Salary Survey

O'Reilly on Data

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? Would your job still be there in a year? Salaries by Tool and Platform.

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What Percentage of Your Machine Learning Models Have Been Deployed?

KDnuggets

Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.

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10 Keys to AI Success in 2021

In our 10 Keys to AI Success in 2021 eBook, we draw from the engaging conversations we’ve had with guests on our More Intelligent Tomorrow podcast series to show how organizations are overcoming hurdles and realizing the enormous rewards that AI can bring to any organization. How MLOps streamlines machine learning from data to value.

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Gartner – Top Trends in Data and Analytics for 2021: XOps

DataKitchen

Gartner identified XOps (DataOps, ModelOps, DevOps) as one of the top trends in data and analytics for 2021. Gartner: “Utilize the best practices of DataOps and ModelOps in symphony to reduce friction between various machine learning (ML) and AI artifacts, and to reduce friction between the teams associated with them.”.

Analytics 130
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Enhancing customer care through deep machine learning at Travelers

CIO Business Intelligence

New York-based insurance provider Travelers, with 30,000 employees and 2021 revenues of about $35 billion, is in the business of risk. So if you put it all together, every one of those transactions or interactions can be reinvented through a lens of technology, AI or machine learning.