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Kriptoteka > Market > Blockchain > SonicJobs Uses AI to Transform Job Application Completion Rates
Blockchain

SonicJobs Uses AI to Transform Job Application Completion Rates

marcel.mihalic@gmail.com
Last updated: September 18, 2024 11:26 pm
By marcel.mihalic@gmail.com 3 Min Read
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Jessie A Ellis
Sep 18, 2024 13:57

According to NVIDIA Blog, SonicJobs is leveraging AI agents to enhance job application completion rates from 5% to 26%.

SonicJobs Utilizes AI to Transform Job Application Processes

As part of the NVIDIA Inception program for startups, SonicJobs is revolutionizing the job application process through the use of cutting-edge AI agents. The NVIDIA Blog reports a remarkable increase in job application completion rates, which have surged from just 5% to an extraordinary 26%.

Enhancing Job Application Rates with AI

In a recent episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Mikhil Raja, Cofounder and CEO of SonicJobs. Raja detailed how the company’s AI agents allow candidates to fill out job applications directly on the platforms without being redirected, an issue that often leads to abandonment. This development targets a critical issue in the recruitment sector, where candidate redirection corresponds to a 70% bounce rate.

The AI agents created by SonicJobs blend traditional AI techniques with large language models (LLMs) to interpret and engage with job application workflows. Raja highlighted the necessity for fine-tuning foundational models to develop more effective and scalable solutions.

Technological Advances and Advantages

The technology offered by SonicJobs not only aids job seekers by streamlining the application process but also presents considerable benefits to employers. By lessening the bounce rate linked with redirection, employers acquire more completed applications, which enhances their talent acquisition metrics.

“The rate of conversion from a paid click on the job platform to the application received by the employer is the most crucial metric in recruitment advertising,” Raja pointed out. The benchmark for application conversion across the industry is merely 5%, underscoring the influence of SonicJobs’ approach in raising this to 26%.

Advancements and Future of AI Agents

Raja also explored the progression of AI agents, tracing their development from AutoGPT to more specialized B2B solutions. He shared how SonicJobs determined their path with Agentic AI and the significance of an adaptive learning flywheel for scaling their AI agent technology.

The discussion also touched upon the potential applications of SonicJobs’ Verticalized AI Agent solution across other sectors, showcasing the wider applicability of their innovative technology.

Guidance for Hiring Companies

Raja offered valuable advice to companies looking to hire, stressing the importance of precision and the advantages of fine-tuning foundational AI models. His insights serve as a critical framework for utilizing AI to enhance recruitment processes in diverse industries.

To learn more, visit the NVIDIA Blog.

Image source: Shutterstock


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