Beautyworld Saudi Arabia moves to Riyadh in 2021

Last year, Beautyworld Saudi Arabia attracted more than 5,000 Saudi trade buyers and beauty professionals, while 193 exhibitors from 22 countries showcased their latest wares.
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Updated 28 July 2020

Beautyworld Saudi Arabia moves to Riyadh in 2021

Beautyworld Saudi Arabia has new dates and a new venue, with the Kingdom’s only dedicated exhibition for beauty products, hair, fragrances, and well-being, set to take place from April 6 to 8, 2021 at Riyadh Front, the show’s organizers have announced.

The 3rd edition of the annual three-day event was originally scheduled to run at the end of September in Jeddah, but will now be a spring show from 2021 onwards. The new location in Riyadh will boost access to key trade buyers and beauty professionals in the Kingdom’s capital and commercial hub.

The move comes as Saudi Arabia continues to implement appropriate health and safety measures within its borders to contain the spread of the global COVID-19 pandemic, with the new dates widely supported by key industry stakeholders.

Beautyworld Saudi Arabia is organized by Saudi-based ACE Group under license by Dubai-headquartered Messe Frankfurt Middle East, which organizes Beautyworld Middle East in Dubai.

Elaine O’Connell, Beautyworld Saudi Arabia’s show director, said: “We’re looking forward to returning in spring next year, and as is customary, Beautyworld Saudi Arabia will host a wide range of value-added features including educational workshops and conferences to keep industry professionals informed and engaged.

“Last year, the show attracted more than 5,000 Saudi trade buyers and beauty professionals, nine percent more than the launch edition in 2018, while 193 exhibitors from 22 countries showcased their latest wares, 15 percent up on the previous year. We can expect similar success at the 3rd edition in Riyadh next year.”

Zahoor Siddique, ACE Group’s vice president, added: “The move to Riyadh for Beautyworld Saudi Arabia bodes well for Saudi and international companies. Riyadh is a bigger market with the largest population in the Kingdom.

“In addition, the number of factories for fragrances and salons in Riyadh are comparatively more. Both from B2B and end consumer perspectives, the business potential is forecasted to be high. Moreover, the demand for a beauty show from industry stakeholders was one of the deciding factors.”

Saudi Arabia is the Middle East and Africa’s (MEA) largest beauty and personal care (BPC) market that, according to analysts Euromonitor International (EMI), was estimated to be worth $5.2 billion in 2019.

The EMI predicts the retail value of Saudi’s BPC market to rise to $5.8 billion by 2022 at a compound annual growth rate of 3.2 percent, comprising close to 20 percent of the entire MEA market.

Beautyworld Saudi Arabia is the 5th Beautyworld event globally, following annual shows in Dubai (Beautyworld Middle East) and Japan (Beautyworld Japan, Japan West, and Japan Fukuoka).


MBRSC opens registration for space science camp

Updated 09 August 2020

MBRSC opens registration for space science camp

The Mohammed Bin Rashid Space Centre (MBRSC) has announced the opening of registration for the Deep Learning Camp for university students, which will be held virtually from Aug. 18 to 20. The Deep Learning Camp is part of the initiatives of the MBRSC to support the UAE’s strategic directions in the science and technology fields, promoting the building of a generation capable of adopting advanced technologies to tackle future challenges.

Through the camp, MBRSC aims to provide the youth with a unique experience to explore space science through theoretical and practical lessons, activities conducted by experts and specialists in the field from the center. The camp is a great opportunity for students interested in the field of space sciences to acquire new skills about remote sensing and satellite analysis.

Yousuf Hamad Al-Shaibani, director general, MBRSC, said: “The Mohammed Bin Rashid Space Centre is keen to make effective contributions that support the UAE’s strategic directions in the science and technology field. Young people can explore the important aspect of space science and modern technologies that are the basis for advanced science in all fields through this camp. The UAE’s ambition to strengthen its leadership in the space sector is clear, as the country is taking prominent initiatives in space technology and enhancing its role in this field. This has acted as a catalyst for younger generations to study such scientific disciplines.”

Saeed Al-Mansoori, head of application development and analysis section, MBRSC, said: “Through these initiatives, we are working to prepare the youth and develop their skills to keep pace with the future of deep learning and artificial intelligence technologies. To keep pace with the developments in the field of space sciences and technology in the region and globally, it has become necessary to possess such important skills and knowledge.”

“This camp is a great opportunity for students interested in space science. The camp includes theoretical and practical activities, including sessions on satellite image analysis, remote sensing and artificial intelligence, and other topics related to enriching young people’s knowledge and attracting them to this field,” added Al-Mansoori.

The Deep Learning Camp is divided into theoretical and practical sessions. The theoretical sessions deal with the definition of the principles of deep learning, its applications and the techniques used therein, with focus on satellite image analysis. The practical sessions will involve learning the applied aspects of deep learning through specialized machine learning applications, including Python programming with Google Colab. The practical session will also engage the participants in a technological challenge through a hackathon, with great prizes awaiting the winners.

During the three-day camp, participants will learn 3 key elements: Principles of deep learning and artificial intelligence, how to use satellite imagery, and the ability to analyze and classify satellite images from a set of satellite image data.