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A newcomer to AI data labeling, Encord looks to ride a rising tidal wave

TechCrunch

billion in private investment in 2021, can’t be realized without carefully labeled data sets that tell machines what exactly they’re looking for. Creating those labeled data sets is becoming an industry itself, boasting companies well north of unicorn status. Image Credits: Encord DICOM labeling platform.

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Learning with Limited Labeled Data

Cloudera

This post was originally published on the Cloudera Fast Forward Labs blog. . These technical advances are unprecedented, but they hinge on the availability of vast amounts of data. These technical advances are unprecedented, but they hinge on the availability of vast amounts of data. Active learning is one such approach.

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5 Strategic Steps for Choosing Your Data Labeling Tool

Altexsoft

If your company is among them, you will need to label massive amounts of text, images, and/or videos to create production-grade training data for your machine learning (ML) models. After a decade of providing skilled CloudWorkers for data labeling, we know it’s a progressive process.

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DataRobot has Partnered with Labelbox to Bring Best-In-Class Unstructured Data Labeling Capabilities to our AI Cloud Platform

DataRobot

To date, however, enterprises’ vast troves of unstructured data – photo, video, text, and more – have remained mostly untapped. At DataRobot, we are acutely aware of the ability of diverse data to create vast improvements to our customers’ business. Today, managing unstructured data is an arduous task. Jared Bowns.

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5 Unique Challenges for AI in Cybersecurity

Palo Alto Networks

One — Lack of Labeled Data Unlike many other fields, data and labels are scarce in the cybersecurity space and usually require highly skilled labor to generate. Looking at a random set of logs in most cybersecurity logging systems will most likely result in zero labels. This is unique to cybersecurity.

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Episode 4: Data is the New Currency

CIO

Data is the new currency of business. We hear that constantly and it is an accurate description of the value that data provides for the successful operation of a business. Put simply, organizations with “better” data management and use it more effectively, win in the market. The CIO can’t say the same for the data.

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Google Cloud AI update adds translation, document services

CIO

“It not only preserves layouts and formatting, but also provides granular management controls such as support for post-editing human-in-the-loop feedback and document review,” June Yang, vice president of cloud AI and industry solutions at Google, wrote in a blog post.