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12/13/23, 1:12 PM Future of work: 24 leaders reveal key trends that will define 2024 in the Middle East - Fast Company Middle East | The future of t…
Alexander Epure, Co-Founder and CEO, Qureos
“A trend reshaping the work landscape is the accelerated adoption of
hybrid work models fuelled by technological advancements and the
ongoing effects of the global pandemic. The hybrid work model,
which comprises a blend of in-office and remote working, is not
merely a temporary solution but is evolving into a permanent fixture
within the modern workplace. This trend is particularly pronounced
in the Middle East, where organizations are recalibrating their
strategies to accommodate their workforce’s diverse needs and
preferences. In the context of the Middle East, the hybrid model is
not only enhancing work-life balance but also aligning with the
region’s economic diversification plans, such as Saudi Arabia’s
Vision 2030 and the UAE’s Centennial 2071, which emphasize
technological adoption, fostering innovation, and enhancing the
non-oil economy.
Navigating the AI wave requires a strategic blend of adopting
technology and nurturing a workforce that can seamlessly steer
through this digital shift. It’s not merely about utilizing AI but also
about developing an adept workforce in its application and ethical
use. Essential skills like data literacy, algorithmic thinking, and
understanding machine learning, coupled with cybersecurity
awareness, are crucial.”
Geoffrey Alphonso, CEO, Alef Education
“AI is a transformative technology that creates a workplace
paradigm shift, forcing professionals to adapt and acquire new skills
to stay relevant in this technology-driven environment. Increasing
advances in AI require concerted action to stay ahead. Embracing
technology, promoting digital literacy, and fostering collaboration
are critical steps in this direction. We must update education models
and advocate for active learning policies to equip future generations
with the necessary skills to cope in the Information Age.
We also need to invest in AI education and research, as well as
interdisciplinary collaborations and the creation of a global
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