Artwork

Contenu fourni par The ShopWorks. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par The ShopWorks ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Player FM - Application Podcast
Mettez-vous hors ligne avec l'application Player FM !

How can an AI predict if someone will resign using WFM data?

10:32
 
Partager
 

Manage episode 363293789 series 3463504
Contenu fourni par The ShopWorks. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par The ShopWorks ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this episode, we dive into the exciting world of AI and explore how it can if someone will resign using WFM. Our guest, Ed Hogg, Managing Director of our sister company SolvedBy.Ai, walks us through the ins and outs of using Ai.
Ed and Ian talk us through how you can use AI and WFM data to improve employee retention. They also discuss the intricate details of what data sets in a workforce management platform make it ideal for estimating if someone is about to leave.
They then walk us through the benefits can an AI tool using WFM data bring to retention. So, tune in and join us for a thrilling conversation on how Ai can boost staff retention!
Don't miss out on the chance to learn from our expert guest and discover the key factors that can help your business thrive. And if you want to dive deeper, head over to our blog post.

Read the full blog here: https://solvedby.ai/blog/employee-retention/how-an-ai-can-predict-if-someone-is-going-to-resign-using-wfm-data/

The Workforce Management Podcast is delivered to you by ShopWorks Workforce Solutions, provider of cloud-based Workforce Management Software, Time and Attendance Software, Employee Scheduling Software and Labour Demand Forecasting for the modern workforce manager.

  continue reading

20 episodes

Artwork
iconPartager
 
Manage episode 363293789 series 3463504
Contenu fourni par The ShopWorks. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par The ShopWorks ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this episode, we dive into the exciting world of AI and explore how it can if someone will resign using WFM. Our guest, Ed Hogg, Managing Director of our sister company SolvedBy.Ai, walks us through the ins and outs of using Ai.
Ed and Ian talk us through how you can use AI and WFM data to improve employee retention. They also discuss the intricate details of what data sets in a workforce management platform make it ideal for estimating if someone is about to leave.
They then walk us through the benefits can an AI tool using WFM data bring to retention. So, tune in and join us for a thrilling conversation on how Ai can boost staff retention!
Don't miss out on the chance to learn from our expert guest and discover the key factors that can help your business thrive. And if you want to dive deeper, head over to our blog post.

Read the full blog here: https://solvedby.ai/blog/employee-retention/how-an-ai-can-predict-if-someone-is-going-to-resign-using-wfm-data/

The Workforce Management Podcast is delivered to you by ShopWorks Workforce Solutions, provider of cloud-based Workforce Management Software, Time and Attendance Software, Employee Scheduling Software and Labour Demand Forecasting for the modern workforce manager.

  continue reading

20 episodes

همه قسمت ها

×
 
Loading …

Bienvenue sur Lecteur FM!

Lecteur FM recherche sur Internet des podcasts de haute qualité que vous pourrez apprécier dès maintenant. C'est la meilleure application de podcast et fonctionne sur Android, iPhone et le Web. Inscrivez-vous pour synchroniser les abonnements sur tous les appareils.

 

Guide de référence rapide