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A tartalmat a dojo.live biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a dojo.live vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Revenue Marketing with Cloudbeds: Smarter Pricing, Better Promotions

40:52
 
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Manage episode 475628236 series 3222070
A tartalmat a dojo.live biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a dojo.live vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

How can Causal AI help hotels optimize pricing and promotions?

Nikhil Shah

Head of Data Science / LinkedIn

Nikhil is a mathematician, AI researcher, and entrepreneur who heads Data Science at Cloudbeds. He studied Mathematics at Cambridge and Computational Optimization for his doctorate at Imperial College, spinning out Hotel Cloud (hospitality tech for revenue management) and S-Cube (energy tech for optimizing high-stakes drilling decisions). He has numerous published papers and two granted U.S. patents through the successful commercialization of his algorithms.

Josh Graham

Head of Market Development / LinkedIn

After 10 years in hotel operations at branded and independent hotels in Washington, D.C., Josh transitioned to technology at TravelClick. Over 13 years, he held a number of senior sales, marketing, and go-to-market roles, working with CRS, Business Intelligence, and e-commerce/digital marketing. In his final role, he served as Regional VP for their guest management/CRM product.

Following TravelClick’s acquisition by Amadeus in 2018, Josh joined Revenue Analytics in 2020 to help launch their RMS solution, N2Pricing. After roles at Salesforce in their Travel and Hospitality unit and FLYR for Hospitality, Josh found his home at Cloudbeds. As Head of Market Development for North America, he drives market awareness and introduces Cloudbeds to new hotelier segments.

  continue reading

423 epizódok

Artwork
iconMegosztás
 
Manage episode 475628236 series 3222070
A tartalmat a dojo.live biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a dojo.live vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

How can Causal AI help hotels optimize pricing and promotions?

Nikhil Shah

Head of Data Science / LinkedIn

Nikhil is a mathematician, AI researcher, and entrepreneur who heads Data Science at Cloudbeds. He studied Mathematics at Cambridge and Computational Optimization for his doctorate at Imperial College, spinning out Hotel Cloud (hospitality tech for revenue management) and S-Cube (energy tech for optimizing high-stakes drilling decisions). He has numerous published papers and two granted U.S. patents through the successful commercialization of his algorithms.

Josh Graham

Head of Market Development / LinkedIn

After 10 years in hotel operations at branded and independent hotels in Washington, D.C., Josh transitioned to technology at TravelClick. Over 13 years, he held a number of senior sales, marketing, and go-to-market roles, working with CRS, Business Intelligence, and e-commerce/digital marketing. In his final role, he served as Regional VP for their guest management/CRM product.

Following TravelClick’s acquisition by Amadeus in 2018, Josh joined Revenue Analytics in 2020 to help launch their RMS solution, N2Pricing. After roles at Salesforce in their Travel and Hospitality unit and FLYR for Hospitality, Josh found his home at Cloudbeds. As Head of Market Development for North America, he drives market awareness and introduces Cloudbeds to new hotelier segments.

  continue reading

423 epizódok

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