Research

Analysis of notable trends based on original surveys, usage, and data sets.

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5 key areas for tech leaders to watch in 2020

By Roger Magoulas, Steve Swoyer | February 18, 2020

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The state of data quality in 2020

By Roger Magoulas, Steve Swoyer | February 12, 2020

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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

By Roger Magoulas, Chris Guzikowski | November 12, 2019

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What’s driving cloud native and distributed systems in 2019

By Roger Magoulas, Steve Swoyer | October 9, 2019

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Topics to watch at the Strata Data Conference in New York 2019

By Roger Magoulas | September 10, 2019

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

By Ben Lorica | August 26, 2019

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Got speech? These guidelines will help you get started building voice applications

By Ben Lorica, Yishay Carmiel | August 8, 2019

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Managing machine learning in the enterprise: Lessons from banking and health care

By Ben Lorica, Harish Doddi, David Talby | July 15, 2019

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How O’Reilly Radar spots the next big thing

By Roger Magoulas | June 27, 2019

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AI and machine learning will require retraining your entire organization

By Ben Lorica | June 26, 2019

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Enabling end-to-end machine learning pipelines in real-world applications

By Ben Lorica | June 20, 2019
Enabling end-to-end machine learning pipelines in real-world applications
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Prioritizing technical debt as if time and money mattered

By Adam Tornhill | June 14, 2019

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From the trenches with Rebecca Parsons

By Rebecca Parsons, Neal Ford | June 14, 2019

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Choices of scale

By Michael Feathers | June 14, 2019

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Cultivating production excellence

By Liz Fong-Jones | June 13, 2019

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The cloud native elephant in the room

By Bob Quillin | June 13, 2019