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Innovating Construction Through Real-time Data and Predictive Analytics

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Contenuto fornito da Ryan Weiss. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Ryan Weiss o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Optics in Action, we sit down with Bryce Wuori, co-founder and CEO of Pavewise, a revolutionary technology company changing the construction industry. Bryce shares his journey as a third-generation construction professional and explains how Pavewise is solving long-standing industry challenges, such as weather-related delays and compliance issues, through real-time data and predictive analytics. Discover how this innovative platform is helping construction firms save time, reduce costs, and improve efficiency while navigating the complexities of the field. Tune in for insights on the future of construction technology and how embracing change can bring success.

Pavewise's technology provides site-specific weather data, helping construction firms anticipate weather conditions and make informed decisions that minimize delays and maximize efficiency.

Bryce developed Pavewise to address common issues like weather-related delays and compliance logging, which were major challenges in his own construction career. The platform now automates these tasks, saving time and resources for users.

By moving away from pen-and-paper methods, Pavewise offers a modern, digital solution that helps contractors and project managers optimize scheduling, track compliance, and avoid costly downtime.

Bryce discusses the challenges of introducing new technology in an industry known for sticking to traditional methods. Despite initial hesitancy, once users experience the efficiency and time-saving benefits of Pavewise, adoption becomes easier.

  continue reading

56 episodi

Artwork
iconCondividi
 
Manage episode 446352744 series 3523470
Contenuto fornito da Ryan Weiss. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Ryan Weiss o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Optics in Action, we sit down with Bryce Wuori, co-founder and CEO of Pavewise, a revolutionary technology company changing the construction industry. Bryce shares his journey as a third-generation construction professional and explains how Pavewise is solving long-standing industry challenges, such as weather-related delays and compliance issues, through real-time data and predictive analytics. Discover how this innovative platform is helping construction firms save time, reduce costs, and improve efficiency while navigating the complexities of the field. Tune in for insights on the future of construction technology and how embracing change can bring success.

Pavewise's technology provides site-specific weather data, helping construction firms anticipate weather conditions and make informed decisions that minimize delays and maximize efficiency.

Bryce developed Pavewise to address common issues like weather-related delays and compliance logging, which were major challenges in his own construction career. The platform now automates these tasks, saving time and resources for users.

By moving away from pen-and-paper methods, Pavewise offers a modern, digital solution that helps contractors and project managers optimize scheduling, track compliance, and avoid costly downtime.

Bryce discusses the challenges of introducing new technology in an industry known for sticking to traditional methods. Despite initial hesitancy, once users experience the efficiency and time-saving benefits of Pavewise, adoption becomes easier.

  continue reading

56 episodi

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