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Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. Your model has to leave the comforts of your development environment and is ready to move to production to be consumed by the end user.

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Machine learning for Java developers: Machine learning data pipelines

InfoWorld

The article, Machine learning for Java developers: Algorithms for machine learning , introduced setting up a machine learning algorithm and developing a prediction function in Java. You'll get a quick introduction to Weka, a machine learning framework for Java.

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CatalyzeX grabs $1.64M seed to help developers find right machine learning model

TechCrunch

Machine learning is exploding, and so are the number of models out there for developers to choose from. That’s where CatalyzeX comes in: It not only helps developers find the most appropriate model for their data, it provides a direct link to the code in a simple interface. CatalyzeX search results page.

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Machine learning for Java developers: Algorithms for machine learning

InfoWorld

Large language models like ChatGPT and Bard have raised machine learning to the status of a phenomenon. Their use for coding assistance has quickly earned these tools a place in the developer’s toolkit. Other use cases are being explored, ranging from image generation to disease detection.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.

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Slai makes intelligent choices around machine learning setups for developers

TechCrunch

The situation for machine learning (ML) isn’t entirely dissimilar; unless ML is core to your software — and it probably isn’t — why would you waste time on assembling an entire infrastructure. To solve that precise issue, Slai is building a developer-first platform for machine learning.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.