Artificial intelligence technologies have become a key part of governments' national innovation strategies and artificial intelligence is also an element of the strength of organizations in digital transformation
Digital transformation and artificial intelligence have become key factors in the journey to achieve the goals of the Kingdom of Saudi Arabia's vision 2030, as the Kingdom's strategic vision aims to make it a knowledge-based and empowered society, as well as help in economic diversification within the Kingdom, in addition to that 70% of the vision goals are closely related to digital transformation technology and artificial intelligence.
Artificial Intelligence Services
Artificial intelligence consulting services
- Establishment of artificial intelligence offices
- AI governance
- Measuring the maturity of the use of artificial intelligence
Providing digital tools
- Key digital tools
- Supporting digital tools
Implementation and provision of human resources
Training and awareness
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Software Development
At least one programming language such as Python or R for data processing and modeling.
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Communication & Collaboration
Ability to clearly communicate technical findings to non-technical stakeholders, and work effectively in a team.
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Statistics
Statistical concepts and methods, such as probability, statistical reasoning, and experimental design for data analysis and interpretation.
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Understanding areas of application of artificial intelligence
Understand a range of example use cases for data science and AI projects.
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Data processing
Effectively process and clean up data including working with missing or incomplete data.
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Ethics and fairness
Understand ethical implications and concepts such as bias, privacy, interpretability and transparency to build fair and robust models and solutions.
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Data visualization
Creating clear, informative and visually appealing data visualizations is important for effective delivery of results.
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Machine Learning
Knowledge of machine learning techniques, such as supervised and unsupervised learning to build predictive models and make data-driven decisions.
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Database Management
Knowledge of dealing with structured data, SQL and no-SQL databases.
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Cloud Computing and Distributed Systems
Familiarity with cloud data storage and processing solutions
Create – AI Artificial Intelligence Quality Management Processes Data Science
Lead – AI Machine Training Operations Continuous delivery Automation Continuous inclusion
Drive – AI Managing AI units and projects AI Product Management Digital Transformation Management
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