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Top 13 Resume Parsing Benefits for Human Resources
Resume parsing can have huge benefits for human resources. Here are 13 examples.
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4 Key Resume Parsing Techniques and Why You Only Need the Last One
There are many resume parsing techniques out there, but they don't all perform to the same standard. Here's the best option for your recruiting software.
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Understanding the differences between structured vs unstructured data
Understand the key differences between structured and unstructured data, their examples, uses, and how to easily convert unstructured data into structured formats with Affinda to enhance business processes.
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The 4 key benefits of integrating Affinda’s AI technology into your Applicant Tracking System (ATS)
In the fast-paced world of Human Resources (HR) and recruitment, Applicant Tracking System (ATS) providers play a vital role in helping companies efficiently organise and manage their candidate pool. By incorporating Affinda's advanced AI technology into your ATS platform, you can optimise your operations, reduce costs, and ultimately deliver a superior experience to your users.
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What Does a Resume Parser Do?
Resume parsers are all the rage in HR and recruitment, but what exactly do they do?
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Understanding Transfer Learning: What Do Tennis Balls Teach AI About Ferrets?
Dive into the power of Transfer Learning in AI: A game-changer for efficient and adaptable machine learning across various fields.
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What can AI do for your business in 2024?
From customer service to code generation and content marketing, learn how AI can enhance your business operations, its key strengths and current limitations through six practical AI applications in 2024.
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Interview with Jeff Melton: The Legendary Coaching Style
Jeff Melton is our COO and has become a legend at the company for his unique coaching style. So, after hearing yet another one of our team members rave about his methods, we knew that we had to share this knowledge.
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Looping in the humans: Why AI is not about man vs machine
This article discusses the integration of human oversight with AI technologies to maximise business potential, mitigate risks and ensure ethical, transparent and reliable AI applications, particularly in high-stakes decision-making processes.
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