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137 Advancing Workforce Management with AI and Automation: Insights with Jason Radisson

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Manage episode 413465035 series 3569447
Content provided by By FOUNDATION Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by By FOUNDATION Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Welcome to The Mobile Workforce Podcast! In this week's episode, we dive into the potential of AI and automation technology to revolutionize workforce management, hiring processes, and productivity. Our guest speaker, CEO Jason Radisson, shares his insights on how AI can automate parts of the hiring process, expedite new hires, and improve efficiency. But that's not all. We also discuss HR Tech and its role in creating a smooth onboarding process. Our guest emphasizes the importance of building engaging software to increase employee engagement and streamline the hiring process. The software automates compliance tasks and paperwork, allowing HR professionals to focus on valuable personal interactions with employees. We also explore how AI can be utilized in scheduling to improve productivity and efficiency, which is especially critical for companies employing large numbers of people. In fact, job matching is a common AI application in workforce management and onboarding. The technology has been adapted from yield management algorithms used in the airline industry and is now being used to proactively reach out to candidates who are a good fit. With the adoption of AI in the white-collar workforce at around 80-90%, with implications for future productivity. Key Takeaways: - Automation & AI for workforce management - AI in hiring process & efficiency - HR Tech for onboarding & engagement - AI for job matching & performance data

- AI for frontline & white-collar workers

- Streamlining hiring process for top talent

- Embracing AI in work & personal life

  continue reading

168 episodes

Artwork
iconShare
 
Manage episode 413465035 series 3569447
Content provided by By FOUNDATION Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by By FOUNDATION Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Welcome to The Mobile Workforce Podcast! In this week's episode, we dive into the potential of AI and automation technology to revolutionize workforce management, hiring processes, and productivity. Our guest speaker, CEO Jason Radisson, shares his insights on how AI can automate parts of the hiring process, expedite new hires, and improve efficiency. But that's not all. We also discuss HR Tech and its role in creating a smooth onboarding process. Our guest emphasizes the importance of building engaging software to increase employee engagement and streamline the hiring process. The software automates compliance tasks and paperwork, allowing HR professionals to focus on valuable personal interactions with employees. We also explore how AI can be utilized in scheduling to improve productivity and efficiency, which is especially critical for companies employing large numbers of people. In fact, job matching is a common AI application in workforce management and onboarding. The technology has been adapted from yield management algorithms used in the airline industry and is now being used to proactively reach out to candidates who are a good fit. With the adoption of AI in the white-collar workforce at around 80-90%, with implications for future productivity. Key Takeaways: - Automation & AI for workforce management - AI in hiring process & efficiency - HR Tech for onboarding & engagement - AI for job matching & performance data

- AI for frontline & white-collar workers

- Streamlining hiring process for top talent

- Embracing AI in work & personal life

  continue reading

168 episodes

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