Lessons learnt from Dubai’s journey with emerging technologies

Dubai is one of the most technologically advanced cities in the world. It is also a city that has embraced emerging technologies and digitization.

Dubai’s journey with emerging technologies has been nothing short of revolutionary. From embracing digital transformation to building smart cities, Dubai has set an example for the rest of the world to follow.

Dubai is one of the most progressive cities in the world. It is a city where digital technologies have transformed, and it is also a city with an ambitious vision for the future. Dubai’s journey from a traditional, industrial economy to a digital one has not been easy. Still, it is now well on its way to becoming an innovative and knowledge-based economy.

In this section, we will explore some of the lessons learnt from Dubai’s journey with emerging technologies.

Foster innovation

Dubai is a city of innovation and digital transformation. It is one of the most technologically advanced cities in the world. Dubai has been investing heavily in emerging technologies for decades, and it has now become a leading hub for innovation.

Dubai’s journey to becoming a technologically advanced city started with its visionary leaders, who decided to invest in emerging technologies as early as the 1970s. They believed that this would be key to Dubai’s economic development and growth. And they were right!

The Dubai government has invested heavily in emerging technologies such as artificial intelligence, 3D printing, and autonomous vehicles. These investments have helped Dubai create a blueprint for digital transformation, and they are also helping to make Dubai one of the most innovative cities in the world.

Bringing technology and creativity together

Empowerment zones in port cities are popular in nations that encourage foreign direct investment, particularly in technology and industry. Dubai goes even further by establishing “D3,” or the Dubai Design District, in which “design is a destination.” D3 oozes elegance and creativity.

Creating deliberate place-making clusters, such as D3, assures that like-minded people will gather and connect. This will help to keep Dubai’s creativity alive.

Giving importance to upskilling

Adopting cutting-edge technology is pointless if an institution’s employees are not adequately trained to use it. This problem might be solved by upskilling existing employees through training, increasing employee engagement, and adding new tech-savvy personnel.

When implementing a digital transformation plan, changing the way people approach their job at all levels of a business is a crucial element to consider.

Conclusion

Dubai has seen a lot of transformations in the past decade. From being one of the most remote and undeveloped places on earth to becoming one of the world’s most developed, modern, and technologically advanced cities. Digital transformation has profoundly changed Dubai. Dubai has transformed itself through a digital-led strategy that is centered around innovation and entrepreneurship. They have planned to become the world’s most customizable destination by investing heavily in emerging technologies.

The success of Dubai’s digital transformation can be attributed to its well-planned, seamless, and inclusive. And institutions embarking on the digital transformation route should take note of how Dubai has fostered innovation, promoted creativity, and supported its citizens in upskilling themselves, setting an example for the rest of the globe.

How AI & Big Data Are Transforming Healthcare In The Middle East

The Middle East is one of the fastest-growing regions in the world. With a population of more than 350 million, it has been identified as an emerging market with high potential. The region is also experiencing rapid economic growth and rising living standards. It’s no surprise that this region is expected to be home to some of the world’s most advanced healthcare systems in the near future.

The way healthcare is delivered in the Middle East will change dramatically over the next few decades, largely due to advancements in data analytics and artificial intelligence (AI).

AI and big data analytics empower healthcare providers in the Middle East to make faster, more cost-effective diagnoses. However, s Security worries concerning data privacy are growing in tandem with the increased usage of AI and big data.

This article examines how big data analytics and artificial intelligence (AI) are altering healthcare in this region and the implications for patients and healthcare professionals.

Making a Decision

Improving treatment necessitates the integration of big health data with fast and appropriate decisions. Clinical decision-making and actions can be aided by predictive analytics.

Pattern recognition is another area where AI is gaining traction in healthcare to determine who is at risk for developing a condition or whose condition may worsen due to lifestyle, environmental, genetic, or other factors.

Treatment

With artificial intelligence, clinicians can take a more holistic approach to disease management, better coordinate care plans, and help patients better manage and adhere to long-term treatment programmes. They can also scan health records to identify people with chronic illnesses at risk.

Training

In a manner that simple computer-driven algorithms cannot, AI allows those in training to go through naturalistic simulations. Because of the emergence of natural speech and the ability of an AI machine to draw instantaneously from an extensive database of scenarios, a trainee’s answer to questions, decisions, or suggestions can be challenging in ways that a human cannot. Furthermore, the training programme can learn from the trainee’s initial responses, allowing the challenges to be regularly changed to fit their learning needs.

Genomics

AI has the potential to alter our perceptions of genetics and push the boundaries of genomics study. According to new research, an artificial neural network can recognise and detect patterns in enormous volumes of genetic data, showing groupings and sequences of genes linked to specific diseases.

The complexity of genetic data has made progress in genomics difficult. Practitioners currently expect breakthroughs in genomic research thanks to AI’s ability to categorise and analyse a large amount of data quickly.

Conclusion

Even though life expectancy is higher than ever, there is a severe shortage of healthcare workers to meet the demand. There is also apprehension regarding expense management and control. Healthcare professionals should seek new technology in order to reduce costs and support human carers. Healthcare workers must take advantage of AI and Big Data technology to be ready for challenges.