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Unlocking AI: Machine learning as a service

CIO

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. Much of the data that organizations are mining is unstructured or semi-structured, and the trend is growing such that more than 80% of corporate data is expected to be unstructured by 2020 [1].

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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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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. For the sake of argumentation, we will assume the machine learning model is periodically trained on a finite set of historical data.

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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. Data architecture coherence. more machine learning use casesacross the company.

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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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Snorkel AI scores $35M Series B to automate data labeling in machine learning

TechCrunch

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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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.