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How to Operationalize Your Data Science with Model Ops

TIBCO - Connected Intelligence

Just as you wouldn’t train athletes and not have them compete, the same can be said about data science & machine learning (ML). Organizations need to realize the value of data science and machine learning models holistically, rather than as simply a process of developing models.

Data 72
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Keys to AI Success for IT Staff

DataRobot

Machine learning operations (MLOps) solutions allow all models to be monitored from a central location, regardless of where they are hosted or deployed. Manual processes cannot keep up with the speed and scale of the machine learning lifecycle , as it evolves constantly. How to Thrive in the Age of Data Dominance.

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Technology Trends for 2023

O'Reilly Media - Ideas

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 136
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Remove the Barriers from AI Adoption

DataRobot

Of the organizations surveyed, 52 percent were seeking machine learning modelers and data scientists, 49 percent needed employees with a better understanding of business use cases, and 42 percent lacked people with data engineering skills. Their success, however, requires the right tools and training.

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10 Platforms for Getting Started with Machine Learning

UruIT

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.

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Machine Learning basics: 10 Platforms to start learning and get awesome at it

UruIT

And whether you’re a novice or an expert, in the field of technology or finance, medicine or retail, machine learning is revolutionizing your industry and doing it at a rapid pace. You may recognize the ways that Machine Learning can improve your life and work but may not know how to implement it in your own company.