SHR Engages Services of Data Science Team Algorth

SHR, Sceptre Hospitality Resources, a pioneer of advanced hotel distribution technologies, entered into an exclusive business agreement with the Spanish data science group Algorth, specialists in customized Artificial Intelligence (AI) for the hospitality technology market.

This move by SHR is part of the company’s recent investment in AI as applied to traditional hospitality technology platforms, such as CRS, RMS, and CRM. Algorth, co-founded by David Moneo, produced cutting edge AI technology in the hospitality business with a data science team, led with the collaboration of data scientists Dr. Amir Atiya, Dr. Hatem Fayed, and Sandra Rizkallah.

The team will be tasked with providing technology to SHR that blends the best of rules-based algorithms and their predictability with modern machine learning algorithms that can handle massive amounts of data and adapt to new patterns, and to the evidence revealed by that data. Each team members’ education and training is reflective of that goal.

Dr. Atiya possesses a Ph.D. and an M.S. in electrical engineering from the California Institute of Technology, as well as an M.S. and B.S. from Cairo University. He was honored with several scientific awards such as the prestigious Kuwait Prize; one of the highest scientific honors that is awarded in the Middle East for intellectual achievement. He is Handling Editor of the International Journal of Forecasting, the premier scientific journal on forecasting research, and has widely published research articles on the topics of machine learning and dynamic pricing.

Dr. Fayed possesses a Ph.D. and an M.S. in engineering mathematics, as well as a B.S. in electronics and electrical engineering with an emphasis on machine learning, time series forecasting, and multimedia, all from Cairo University. He, also, has widely published research papers on the topics of machine learning and dynamic pricing.

Ms. Rizkallah has earned an M.S. in computer engineering from the Cairo University, and is currently working on her Ph.D. thesis. She has experience in the topics of natural language processing and machine learning.