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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? Try our business intelligence software for 14 days, completely free! The term “agile” was originally conceived in 2011 as a software development methodology. Working software over comprehensive documentation.

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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 122
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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process. Try our big data analytics software for a 14-days free trial today!

Big Data 263
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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader. We went through user research, development, and beta tests in a span of 6 months, which was a fast turnaround and a big win for us,” says Minnaert. With QuickSight, we pay for usage.

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Data Science at The New York Times

Domino Data Lab

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.