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Generative AI and the Modern Workforce

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Manage episode 438270816 series 2913446
Contenu fourni par CCS Insignt and CCS Insight. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par CCS Insignt and CCS Insight 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.

Collaboration and communication tools have evolved significantly, progressing from early email and instant messaging to the cloud-based, integrated and AI-powered platforms used by workforces today. The Covid-19 pandemic accelerated this evolution as businesses had to swiftly digitize processes and working models. As a result, workplaces have become more digitized than ever.

Innovations such as generative AI have led to advancements that promise to revolutionize how people work, empowering employees to achieve goals more effectively and helping drive overall organizational success.

To better understand how generative AI is shaping the modern workforce, I spoke with Tricia Davis-Muffett, Senior Director of Google Workspace Marketing, and George Shihadeh, National Sales Director for Workplace Collaboration at Onix in CCS Insight's latest podcast episode.

Our discussion unpacked the role of generative AI in the modern workforce, delving into real-world applications by enterprises across different sectors.

The episode explores:

  • The role of generative AI tools in solving crucial challenges for businesses, such as difficult economic circumstances and hybrid working.
  • The importance of security when integrating AI into companies of all sizes.
  • The future of work and how generative AI tools will empower workplace transformation.
  • Real-world applications of AI and enterprises' attitudes toward employee training.

CCS Insight has produced a free report detailing the key points of the podcast discussion, available here.

  continue reading

13 episodes

Artwork
iconPartager
 
Manage episode 438270816 series 2913446
Contenu fourni par CCS Insignt and CCS Insight. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par CCS Insignt and CCS Insight 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.

Collaboration and communication tools have evolved significantly, progressing from early email and instant messaging to the cloud-based, integrated and AI-powered platforms used by workforces today. The Covid-19 pandemic accelerated this evolution as businesses had to swiftly digitize processes and working models. As a result, workplaces have become more digitized than ever.

Innovations such as generative AI have led to advancements that promise to revolutionize how people work, empowering employees to achieve goals more effectively and helping drive overall organizational success.

To better understand how generative AI is shaping the modern workforce, I spoke with Tricia Davis-Muffett, Senior Director of Google Workspace Marketing, and George Shihadeh, National Sales Director for Workplace Collaboration at Onix in CCS Insight's latest podcast episode.

Our discussion unpacked the role of generative AI in the modern workforce, delving into real-world applications by enterprises across different sectors.

The episode explores:

  • The role of generative AI tools in solving crucial challenges for businesses, such as difficult economic circumstances and hybrid working.
  • The importance of security when integrating AI into companies of all sizes.
  • The future of work and how generative AI tools will empower workplace transformation.
  • Real-world applications of AI and enterprises' attitudes toward employee training.

CCS Insight has produced a free report detailing the key points of the podcast discussion, available here.

  continue reading

13 episodes

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