Fortunately, for some classification tasks, you don’t need to label all your training examples. Instead, you can use semi-supervised learning, a machine learning technique that can automate the data-labeling process with a bit of help.
Search Results: machine learning (770)
As Workday prepares to release quarterly and 12-month financial results later today, let’s consider its tagline: “Built for the Future.”
it was fascinating to see how Microsoft, Amazon and Workday used their latest earnings calls to highlight their broad efforts with machine learning.
AI accuracy depends on the quality of the data it is fed. Toni Witt explores ways that datasets can be cleaned, or even generated, to make AI better.
Integrating generative AI, natural language prompts, large language models, and machine learning augments the power of customer experience applications.
Databricks recently acquired MosaicML for $1.3 billion, and the combined firms are poised to develop robust machine learning and generative AI capabilities for enterprises.
Machine learning is impacting endpoint security in areas such as enhanced threat detection, false positivity reduction, and the ability to implement proactive security measures.
Workday’s Adaptive Planning platform streamlines corporate finance and leverages the best of artificial intelligence and machine learning capabilities.
The integration of machine learning and AI capabilities in cybersecurity offer opportunities for improved specificity, consistency, and scalability.
In a recent shareholder letter, Amazon CEO Andy Jassy has deemed the company as the leader of machine learning (ML), having more ML customers than any of its competitors.
Workday uses machine learning and artificial intelligence to help companies find qualified candidates during the hiring process, explains Shane Luke, VMachine Learning and AI, Workday.
Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.
Wayne Sadin shares takeaways from a recent panel discussion he attended, which covered topics from data management to AI and machine learning bias.
Workday has mapped out 38 “future of work” use cases that leverage artificial intelligence (AI) and machine learning (ML) technologies. Bob Evans reviews the use cases.
Machine learning comes with many benefits for cybersecurity, but cutting-edge bad actors are looking to exploit ML for their own gain. Chris Hughest explains how to fight “adversarial ML.”
In Episode 27, Pablo Moreno talks about how the merging of these two entities combines the computational power of Altair with the accessible machine learning capabilities of RapidMiner.
In this Cybersecurity Minute, Aaron looks at Oracle Cloud’s new security features and the use of machine learning in cloud data threat assessment.
There is much value in machine learning and AI models—more specifically, how you use it and applying training data to it.
In this Enterprise AI Minute, Aaron explores the breakthrough in the development of machine learning models to predict an earthquake.
In this Enterprise AI Minute, Aaron discusses examples of how AI and machine learning can be used to help combat food waste.