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Machine learning platforms News
June 17, 2020
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.
June 09, 2020
NetApp makes its third cloud-related acquisition of 2020; the company says it will buy Spot, which uses machine learning to optimize cloud capacity and reduce infrastructure costs.
January 06, 2020
The Trump administration's move to limit export of AI-based geospatial imaging software extends U.S. restrictions on technology that foreign countries could use to develop weapons systems.
December 12, 2019
By buying data prep vendor Paxata, DataRobot plans to fill out its machine learning and AI platform with tools to automate data prep processes and provide an underlying data fabric.
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To drive business value from AI, business managers need to distinguish between the various AI techniques, starting with the many flavors of machine learning. Continue Reading
Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Continue Reading
Curiosity artificial intelligence (curiosity AI) is the simulation of human curiosity in artificial intelligence. Continue Reading
Evaluate Machine learning platforms Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Machine learning is a hot topic with use cases that span IT and the business. Learn how IT operations teams most commonly apply the technology -- from help desk response to gauging end-user satisfaction. Continue Reading
To ease the burden that is associated with content production, AI in content production has been deployed to augment writers' work and to help monitor and measure post engagement. Continue Reading
Machine learning has continued to evolve since its beginnings some seven decades ago. Learn how deep learning has catalyzed a new phase in the evolution of machine learning. Continue Reading
Manage Machine learning platforms
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Building a viable, reliable and agile machine learning model that streamlines operations and bolsters business planning takes patience, preparation and perseverance. Continue Reading
Machine learning can help businesses gain powerful analytics value from their data -- but only if it's done right. How much do you know about machine learning and related forms of AI? Continue Reading
Taking notes from DevOps lifecycle management, machine learning operations tools and platforms seek to improve accuracy, ease integration problems and keep models trained. Continue Reading
Problem Solve Machine learning platforms Issues
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Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology. Continue Reading
As adoption of machine learning grows, companies must become data experts -- or risk results that are inaccurate, unfair or even dangerous. Here's how to combat ML bias. Continue Reading
Utilizing machine learning in the collection and processing of data would most likely lead to more widespread adoption of AI based on the technology. Continue Reading