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AI Solutions for Enhancing Enterprise Risk and Data Analytics

An Interactive 5-Day Training Course

AI Solutions for Enhancing Enterprise Risk and Data Analytics

Leveraging Artificial Intelligence and Advanced Analytics for Risk Intelligence and Informed Decision-Making

NASBA
Scheduled Dates
Date Venue Fees
22 - 26 Mar 2027 Online $ 4,950
05 - 09 Jul 2027 Dubai $ 5,950
15 - 19 Nov 2027 Online $ 4,950
13 - 17 Dec 2027 London $ 5,950

Course Summary

The AI Solutions for Enhancing Enterprise Risk and Data Analytics training course provides risk management and analytics professionals with the practical knowledge and capabilities needed to apply artificial intelligence within enterprise risk management activities. AI technologies enable organisations to process complex data, identify developing risk trends, and generate forward-looking insights that enhance conventional risk management approaches. Participants will examine how machine learning, predictive analytics, and intelligent automation can strengthen risk visibility, identify potential exposures, and support proactive decision-making. The training course focuses on combining AI capabilities with established enterprise risk management frameworks to improve the quality, consistency, and timeliness of risk-related decisions.

The training course progresses from the fundamentals of AI and enterprise risk data management through predictive risk modelling, advanced analytics, scenario assessment, and intelligent monitoring techniques. Participants will explore how AI supports risk classification, anomaly detection, risk scoring, early warning indicators, and the assessment of interconnected risks across the organisation. Emphasis is placed on integrating analytical outputs with risk appetite, reporting practices, and management decision-making processes. The training course also examines data quality management, model validation, explainability, and responsible AI deployment. By integrating AI applications with enterprise risk management principles, participants will develop practical approaches to enhancing organisational risk intelligence, analytical maturity, and resilience.

This AI Solutions for Enhancing Enterprise Risk and Data Analytics training course will highlight:

  • Applying AI and advanced analytics to enterprise risk management
  • Improving risk identification through intelligent data analysis
  • Using predictive models for risk assessment and forecasting
  • Developing AI-supported risk indicators and early warning systems
  • Strengthening scenario analysis and risk-informed decision-making
  • Implementing responsible AI solutions for enterprise risk analytics

Skills & Competencies

From this AI Solutions for Enhancing Enterprise Risk and Data Analytics training course, participants will develop the following key skills and competencies:

  • Enterprise risk analytics application
  • Predictive risk modelling
  • Risk data evaluation
  • Intelligent risk monitoring
  • AI-supported decision analysis
  • Enterprise risk intelligence development

Key Learning Outcomes

At the end of AI Solutions for Enhancing Enterprise Risk and Data Analytics training course, you will learn to:

  • Evaluate AI applications within enterprise risk management and analytics
  • Analyse enterprise risk information using AI-enabled analytical techniques
  • Apply predictive analytics concepts to risk identification and assessment
  • Develop intelligent approaches to risk monitoring and early warning indicators
  • Assess AI-generated insights to support management decision-making
  • Create a roadmap for implementing AI-enabled enterprise risk analytics

How You Will Learn

This training course combines expert-led presentations, enterprise risk management examples, AI demonstrations, and structured analytical workshops. Participants will work with risk datasets, predictive modelling techniques, anomaly detection approaches, and AI-supported reporting methods. Practical exercises demonstrate how AI can assist with risk identification, scenario assessment, and monitoring evolving risk exposures. The learning approach emphasises the interpretation of analytical outputs, validation of AI-generated insights, and the application of sound professional judgement within enterprise risk management decisions.

Who should Attend?

This AI Solutions for Enhancing Enterprise Risk and Data Analytics training course is specifically designed for:

  • Enterprise Risk Managers and Officers
  • Risk Management Directors
  • Risk Analysts and Risk Assessment Specialists
  • Risk Analytics and Modelling Professionals
  • Operational Risk Managers
  • Risk Data Analysts
  • Risk Intelligence and Reporting Specialists
  • Enterprise Risk Management (ERM) Specialists
  • Data Analytics Professionals responsible for enterprise risk analysis
Course Outline
Day 1

AI Fundamentals and Enterprise Risk Intelligence

This day explores the role of artificial intelligence in enterprise risk management, the differences between traditional and AI-enhanced approaches, recognised risk management frameworks, and the foundations of enterprise risk intelligence. The topics covered will include:

  • AI and machine learning applications in enterprise risk management
  • Traditional versus AI-enhanced risk assessment approaches
  • Integrating AI with ISO 31000 and COSO ERM principles
  • Identifying enterprise risk categories and analytical requirements
  • Understanding risk data sources and information quality
  • Assessing organisational readiness for AI-driven risk analytics
Day 2

Enterprise Risk Data Management and Advanced Analytics

This day explores the collection, preparation, validation, and analysis of enterprise risk information while examining methods to identify trends, patterns, classifications, and anomalies through advanced analytics. The topics covered will include:

  • Collecting and integrating enterprise risk information
  • Preparing, cleaning and validating risk datasets
  • Applying descriptive and diagnostic analytics to risk data
  • Identifying correlations, trends and emerging risk patterns
  • Using AI for risk classification and anomaly detection
  • Developing risk dashboards and analytical visualisations
Day 3

Predictive Risk Modelling and Intelligent Risk Assessment

This day explores predictive modelling methods, machine learning applications, risk scoring techniques, and the evaluation of risk probability, impact, and exposure using AI-supported approaches. The topics covered will include:

  • Machine learning techniques for enterprise risk prediction
  • Applying classification and regression to risk analysis
  • Developing AI-supported risk scoring and prioritisation
  • Evaluating risk probability, impact and exposure
  • Assessing predictive model accuracy and reliability
  • Interpreting AI-generated risk forecasts and assessments
Day 4

AI-Driven Risk Monitoring and Strategic Decision Support

This day explores intelligent monitoring techniques, early warning systems, scenario analysis, emerging risks, and the use of analytical insights to support enterprise risk reporting and decision-making. The topics covered will include:

  • Developing intelligent Key Risk Indicators (KRIs)
  • AI-supported early warning and risk monitoring systems
  • Scenario analysis and stress testing using AI
  • Analysing interconnected and emerging enterprise risks
  • Applying predictive insights to risk response decisions
  • Integrating AI analytics into management risk reporting
Day 5

Implementing AI Solutions for Enterprise Risk Management

This day explores the planning, governance, integration, validation, and measurement activities required to deploy AI solutions effectively within enterprise risk management environments. The topics covered will include:

  • Identifying and prioritising enterprise risk AI applications
  • Integrating AI analytics with existing ERM systems
  • Establishing data governance and model validation controls
  • Managing AI explainability, bias and analytical limitations
  • Measuring AI effectiveness and risk management outcomes
  • Developing an AI-enabled enterprise risk analytics roadmap
Certificates
  • Upon successful completion of the classroom-based training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
  • Upon successful completion of the online training course, a GLOMACS Certificate will be awarded to all delegates. Guided Learning Hours – In accordance with ISO 9001:2015–certified quality management standards, one Guided Learning Hour is awarded for every 60 minutes of attendance.
Providers

Endorsed Education Provider

NASBA
Options & Brochure
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NASBA

Customisation & In-House Delivery

Delivering this training course in-house enables organisations to align AI-enabled risk analytics capabilities with their specific enterprise risk environment, governance requirements, and strategic priorities. Customisation ensures that analytical models, risk-monitoring processes, and decision-support mechanisms reflect organisational risk objectives, reporting needs, and operational realities.

Why Choose Saudi GLOMACS?

Saudi GLOMACS is the official Saudi Arabian division of GLOMACS International (glomacs.com), delivering internationally recognised training courses both within Saudi Arabia and across international locations. Our training courses are aligned with the highest professional and institutional standards, supported by a strong understanding of the professional landscape in Saudi Arabia and access to global expertise.

Saudi GLOMACS enables professionals and organisations to strengthen leadership, capability, and long-term excellence through consistently high-quality learning experiences.

Official Saudi Presence

Official Saudi Arabian division of GLOMACS with established global credibility.

International Benchmarks

Internationally benchmarked training courses aligned with professional best practices.

Trusted Across Sectors

Trusted by professionals and institutions across public and private sectors.

Flexible Delivery

Training courses delivered within Saudi Arabia and across international locations.

Additional Benefits of this course for Organisations and Professionals in Saudi Arabia

Organisations & Professionals in KSA will have the following additional benefits from this AI Solutions for Enhancing Enterprise Risk and Data Analytics training course:

  • Enhanced enterprise risk visibility
  • Stronger predictive risk capabilities
  • Improved risk intelligence and reporting
  • Better data-driven decision-making
  • More effective early warning systems
  • Increased readiness for AI-enabled risk management
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Frequently Asked Question

Saudi GLOMACS combines three decades of global training experience with a clear focus on Saudi market relevance. This allows it to deliver training that is both internationally credible and locally applicable, across a broader range of disciplines than niche or single-focus providers.

Participants include professionals from public sector, semi-government, and private sector organisations, across a wide range of roles and industries. Attendees range from administrative and operational professionals to technical specialists, managers, and senior decision-makers.

Yes. Saudi GLOMACS designs and delivers bespoke in-house training tailored to organisational objectives, sector requirements, and workforce needs. Training can be delivered in Saudi Arabia or internationally, depending on requirements.

Courses delivered in Saudi Arabia are adapted to reflect local regulatory frameworks, organisational structures, sector conditions, and professional expectations. This ensures training is relevant, practical, and aligned with Saudi workplace realities.

No. Saudi GLOMACS delivers courses in Saudi Arabia and internationally, including delivery across Europe and Asia. This allows organisations and professionals to access training both locally and abroad.

No. While governance and leadership are part of the portfolio, Saudi GLOMACS delivers training across the entire business and professional lifecycle, including administrative, technical, legal, regulatory, and sector-specific training.

Saudi GLOMACS offers professional training across a wide range of disciplines, including administration, leadership and management, governance and regulation, law, oil and gas, energy, engineering, finance, digital technologies, and sector-specific specialisations.

Training supports professionals across all career stages, from operational roles to specialist and senior responsibilities.

GLOMACS has been delivering professional training for over thirty years, with courses delivered across Europe, the Middle East, Asia, and other international markets.

Saudi GLOMACS is a Saudi-based professional training provider delivering courses tailored to the Saudi market and applicable internationally. It operates within the global GLOMACS framework and draws on more than three decades of international training experience.

No. Our training courses are delivered globally through international locations and online platforms, enabling participants from Saudi Arabia and around the world to learn together. This global delivery approach ensures exposure to diverse perspectives, international best practices, and cross-cultural insights while maintaining strong relevance to regional and organisational needs.

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Yes, in-house and customised strategy training courses are available to support organisations seeking tailored strategic capability development. These courses can be aligned with your industry context, organisational challenges, and long-term strategic objectives.

For further details or to discuss customisation requirements, you may call or WhatsApp +966 (54) 286 8546 or email [email protected] . You can also submit a detailed enquiry through our in-house training page at: https://sa.glomacs.com/in-house-seminars

If you would like further information about these training courses, our team is available to provide professional guidance and support. We are pleased to assist with course selection, the registration process, and any other related enquiries.

For personalised assistance or detailed enquiries, please contact our team on +966 (54) 286 8546 or email us at [email protected]

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