
SAS Opens Riyadh Hub, Pledges $1bn to Boost AI Growth
- Bias Rating
- Reliability
30% ReliableAverage
- Policy Leaning
50% Medium Right
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
67% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
73% : This vision is backed by a $1 billion global investment to accelerate the development of advanced analytics and AI solutions tailored to critical industries, including financial security, energy, healthcare, and public services.65% : Speaking to Asharq Al-Awsat, Dr. James Goodnight, Chief Executive Officer of SAS, said the company brings over four decades of experience in analytics and AI, offering trusted capabilities that directly support Vision 2030's ambitions across government, finance, healthcare, energy, and smart cities.
56% : He added that SAS enables government entities to deploy transparent and interpretable AI systems under human oversight, ensuring that decisions align with national values and policies.
54% : SAS collaborates with Saudi universities, government agencies, and private institutions to prepare young people for future careers through AI hackathons, academic training programs, and research grants.
53% : The new office will include leadership, customer engagement, consulting, and innovation divisions, serving as a collaborative center for key sectors such as banking, government, energy, utilities, and telecommunications.
48% : "From Riyadh, SAS will partner with governments, enterprises, and academia across the Middle East to deliver cutting-edge AI and analytics solutions.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.