Machine learning platforms

Enterprises need to make smart investments in machine learning platforms. With a range of features and price tags, making the right choice can seem like a daunting task. Discover machine learning platform comparison content, information on getting started with machine learning algorithms and best practices to gain the most from projects.

September 17, 2020 17 Sep'20
Rivals Cloudian, Scality embrace all-flash object storage

Primarily used as a disk repository, object storage use cases are evolving to support workloads that need fast flash. Rivals Cloudian and Scality provide the latest evidence.
August 17, 2020 17 Aug'20
Does technology increase the problem of racism and discrimination?

According to a publication from the MIT Technology Review, technology promotes racism. Most facial recognition algorithms discriminate against the Black population. And even certain concepts or technological terminology tend to be offensive, ...
July 15, 2020 15 Jul'20
Care provider uses automated machine learning in healthcare

An assisted living and transitional care provider uses DataRobot to automate the process of building and deploying machine learning models, enabling it to deploy models quickly.
June 17, 2020 17 Jun'20
DataRobot training aims to upskill citizen data scientists

DataRobot unveiled a new data science training program, and enhancements to its enterprise AI platform, including a geospatial capability and automated time series anomaly detection.

Bring yourself up to speed with our introductory content

3 machine learning best practices to use in IoT projects

IoT machine learning takes a whole team of experts that can approach the project with the right mindset, effectively communicate, and facilitate user feedback and testing. Continue Reading
A basic design pattern for image recognition

Learn how a design pattern based on convolutional neural networks can be adapted to create a visual graphics generator model for image recognition. Continue Reading
AI in security analytics is the enhancement you need

AI-powered analytics is critical to an effective, proactive security strategy. Learn how AI-enabled tools work and what your organization needs to do to reap their benefits. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

AI in cybersecurity ups your odds against persistent threats

AI capabilities can identify and take down cyberthreats in real time but are only part of what your team needs to come out on the winning side of the cybersecurity battle. Continue Reading
Bayesian networks applications are fueling enterprise support

Cloud-based infrastructure has opened the door for enterprises to take advantage of the versatile predictive capability of Bayesian networks technology. Continue Reading
SharePoint Syntex automatically uncovers document metadata

AI can help organizations automatically uncover metadata and tag documents. Discover how Microsoft's SharePoint Syntex achieves this using machine learning and machine teaching. Continue Reading

Learn to apply best practices and optimize your operations.

AI cybersecurity raises analytics' accuracy, usability

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Machine learning and bias concerns weigh on data scientists

Data scientists are forever vigilant in their desire to identify and eliminate the many forms of bias that can compromise the credibility of machine learning models. Continue Reading
Responsible AI champions human-centric machine learning

Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading

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9 data quality issues that can sideline AI projects

The quality of your data affects how well your AI and machine learning models will operate. Getting ahead of these nine data issues will poise organizations for successful AI models. Continue Reading
How to troubleshoot 8 common autoencoder limitations

Autoencoders' ability for automated feature extraction, data preparation, and denoising are complicated by their common problems and limitations in usage. Continue Reading
Data science's ongoing battle to quell bias in machine learning

Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading