Artwork

Innhold levert av insight.tech. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av insight.tech eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

Multisensory AI: The Future of Predictive Maintenance

23:42
 
Del
 

Manage episode 440775556 series 3503604
Innhold levert av insight.tech. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av insight.tech eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Downtime is a costly killer. But traditional predictive maintenance methods often fall short. Discover how multisensory AI is used to uplevel equipment maintenance.

Multisensory AI uses sight, sound, and smell to accurately predict potential equipment failures, even with limited training data. This innovative approach can help businesses reduce downtime, improve efficiency, and save costs.

In this podcast, we explore how to successfully implement multisensory AI into your existing infrastructure and unlock its full potential.

Join us as we explore these ideas with: Rustom Kanga, Co-Founder and CEO, iOmniscient Christina Cardoza, Editorial Director, insight.tech

Rustom answers our questions about

  • Limitations to traditional predictive maintenance
  • A multisensory and intuitive AI approach
  • Training AI to emulate human intelligence
  • Providing accurate and valuable results
  • Investing in a multisensory AI approach
  • How businesses leverage intuitive AI
  • Partnerships and technologies behind success
  • The future of multisensory and intuitive AI

Related Content

To learn more about multisensory AI, read Multisensory AI Revolutionizes Real-Time Analytics. For the latest innovations from iOmniscient, follow them on Twitter at @iOmniscient1 and LinkedIn.

  continue reading

106 episoder

Artwork
iconDel
 
Manage episode 440775556 series 3503604
Innhold levert av insight.tech. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av insight.tech eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Downtime is a costly killer. But traditional predictive maintenance methods often fall short. Discover how multisensory AI is used to uplevel equipment maintenance.

Multisensory AI uses sight, sound, and smell to accurately predict potential equipment failures, even with limited training data. This innovative approach can help businesses reduce downtime, improve efficiency, and save costs.

In this podcast, we explore how to successfully implement multisensory AI into your existing infrastructure and unlock its full potential.

Join us as we explore these ideas with: Rustom Kanga, Co-Founder and CEO, iOmniscient Christina Cardoza, Editorial Director, insight.tech

Rustom answers our questions about

  • Limitations to traditional predictive maintenance
  • A multisensory and intuitive AI approach
  • Training AI to emulate human intelligence
  • Providing accurate and valuable results
  • Investing in a multisensory AI approach
  • How businesses leverage intuitive AI
  • Partnerships and technologies behind success
  • The future of multisensory and intuitive AI

Related Content

To learn more about multisensory AI, read Multisensory AI Revolutionizes Real-Time Analytics. For the latest innovations from iOmniscient, follow them on Twitter at @iOmniscient1 and LinkedIn.

  continue reading

106 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2024 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett