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Saudi Data & AI Authority (SDAIA)

​​National Strategy for Data & AI
 

Image for  His Royal Highness Prince Mohammed bin Salman bin Abdulaziz Al Saud, Crown Prince, Prime Minister, and Chairman of SDAIA's Board of Directors  
 
"We are living in a time of scientific innovation, unprecedented technology, and unlimited growth prospects. These new technologies such as Artificial Intelligence and the Internet of Things, if used optimally, can spare the world from many disadvantages and can bring to the world enormous benefits."
His Royal Highness
Prince Mohammed bin Salman bin Abdulaziz Al Saud
Crown Prince, Prime Minister of the Kingdom of Saudi Arabia

Chairman of SDAIA's Board of Directors

About

Saudi Data & AI Authority (SDAIA) was established to drive the national agenda for Data & AI to elevate the Kingdom as a global leader in the elite league of data driven economies.

To capitalize on Data & AI for the Kingdom economically and socially through national combined efforts by all stakeholders, SDAIA has developed the National Strategy for Data & AI.

The strategy approval of the Custodian of the Two Holy Mosques King “Salman bin Abdulaziz Al Saud” was issued on July 17, 2020. SDAIA is currently working with other different entities on launching the strategy and activating its initiatives.

 

Strategy Approach

 

National Enabler

2021

Address KSA's urgent needs along national priorities set by Saudi Vision 2030

 

Specialist

2025

Build the foundations for competitive advantage in key niche domains

 

Industry Leader

2030

Compete on the international scene as a leading economy utilizing and exporting DATA & AI

Vision

Where the best of Data & AI is made reality

Where

Development, creation, and adoption of Data & AI technologies across the kingdom

the best of Data & AI is made

Innovative, sustainable, practical, and ethical Data and AI applications

Reality

Attractive ecosystem, world-class infrastructure, test-bed environments, data governance, commercial incentives, gov't-sponsored incentives, minimum red-tape, unique

Objectives and Targets

Ambition

Position KSA as the global hub where the best of Data & AI is made reality

Rank among top 15 countries in AI
Skills

Transform KSA's workforce with a steady local supply of Data & AI-empowered talents

+20K data & AI specialists and experts
Policies & Regulations

Enact the most welcoming legislation for Data & AI businesses and talents

Rank among top 10 countries in open data
Investment

Attract efficient, stable funding for qualified Data & AI investment opportunities

Attract ~75B SAR investments in data & AI
Research & Innovation

Empower top Data & AI institutions to spearhead innovation and impact creation

Rank among top 20 countries in scientific contribution
Ecosystem

Stimulate Data & AI adoption with the most collaborative, and forward-thinking ecosystem

Enrich data & AI entrepreneurship by creating +300 startups

Priority Sectors

Education

Incorporating Data & AI in education with the aim of aligning the education system with labor market requirements besides improving the students skills

Government

Adapting Data & AI in government with the purpose of creating a smarter as well as more effectual public sector

Healthcare

Fitting Data & AI into healthcare systems in order to enhance access and preemptive care along with accommodating growing demand

Energy

Fitting Data & AI into energy for augmenting capacity, enhancing efficacy, and developing industries

Mobility

Integrating Data & AI in mobility with the purpose of building a regional hub, creating smart city mobility technology as well as improving traffic safety in cities

صورة تحقيق الاستدامة الاقتصادية
 

SDAIA’s Role

 
Guide the execution of the strategy with govt. entities

Support and guidance various government entities to implement the strategy

 
Facilitate the execution of strategy initiatives

Supervising the implementation and follow-up of strategy initiatives

 
Execute SDAIA+ led initiatives

Implementation of initiatives within the scope of SDAIA and its affiliates


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