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10 highest-paying IT skills for 2024

CIO

Even as the IT job market experiences shifting dynamics, employment website Indeed reports a range of roles have maintained resiliency and even grown in demand. A quick scan of these roles tells you all you need to know about what companies are looking for: hard-to-acquire skills around AI, machine learning, and software development.

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IT leaders go small for purpose-built AI

CIO

That’s what a number of IT leaders are learning of late, as the AI market and enterprise AI strategies continue to evolve. SLMs can be trained to serve a specific function with a limited data set, giving organizations complete control over how the data is used. When adopting AI, sometimes the best direction is to go small.

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Sama taps into $70M to build ‘first end-to-end AI platform’ for training data

TechCrunch

Enter Sama , a company providing high-quality training data that powers AI technology applications. CEO Wendy Gonzalez said the company is developing the first end-to-end AI tool for training data through machine learning. All of that required funds, Gonzalez said. Samasource raises $14.8M

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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10 most in-demand generative AI skills

CIO

Upwork analyzed data from its platform, examining the types of projects companies hired freelancers for thus far this year, to identify the most sought-after AI skills on the market. Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer.

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. We also know exactly how much it costs to build training data sets from scratch. The state of data privacy: Views of key stakeholders.

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V7 snaps up $33M to automate training data for computer vision AI models

TechCrunch

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. V7 even lays out how the two services compare.)

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