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Success Stories

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AI Transformation using AIMA tool​

Problem: Lack of the latest technologies, and the necessity of developing the security services system in line with the Fourth Industrial Revolution.​

Solution: by using AIMA tool and the AI maturity assessment, we were able to develop a clear road map to include the artificial intelligence in the directorate's services and the next step will start implementing artificial intelligence initiatives according to AIMA's identified priorities.

“We found that AIMA is the world-leading practice in AI transformation, so this practice had to be adopted to ensure a proper AI transformation in our services & operations.”

Ms. Sumaya Al Sharif, Vice President of Supply Chain

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Building Fintech & AI curriculum Framework and standards ​

Problem: Building a framework for MOE in Jordan in order to develop modules for AI and Fintech 

Solution: by using IAIDL® framework supports this success by providing a structured approach to implementing different understanding for AI and Fintech transformation. By aligning with IAIDL® ’s standards, NCCD ensures that their AI applications are robust, scalable, and ethically sound. This framework facilitates the adoption of AI technologies, ensuring they are effectively integrated into existing financial systems, thus driving innovation and efficiency in Jordan’s fintech landscape

“Through IAIDL® , we were able to find out what is the roadmap for Building the right modules and framework for learner from grade 7th to 11th”

Dr Adil Kandah, Project Leader

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AI Transformation using AIMA tool​

Problem: The lack of insight into the performance at the level of internal services, and the weakness of traditional methods in achieving the desired goals.​

Solution: by using AIMA tool and the AI maturity assessment, we were able to develop a clear road map to include the artificial intelligence in the Authority's services and start implementing artificial intelligence initiatives that were reflected by reducing costs and improving efficiency.

“The use of the AIMA tool in the process of transformation into artificial intelligence had a great impact in starting to transform our services in a right and systematic way..”

Mr. Omar Al Momari, , Sr. Manager, Administrative Affairs Department

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AI Transformation using AIMA tool​

Problem: Inability to attract investments to Jordan and support investors using traditional services.​

Solution: by using AIMA tool and the AI maturity assessment, we were able to develop a clear road map to include the artificial intelligence in the ministry's services and start implementing artificial intelligence initiatives that were reflected through increasing the investment in Jordan by 20%

“Through AIMA, we were able to find out what is the roadmap for investing in artificial intelligence, after it was vague to us..”

Eng. Hadeel Abdellat, Sr. Manager, Development

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Dubai Quality Group

Problem: Forming International AI award endorsed internationally ​

Solution: by using IAIDL® and AIMA, we were able to develop a clear road map for our Award formation including pillars , criteria , and international leading practices to include the artificial intelligence and future management tools in the entitles services with High ROI and start implementing artificial intelligence initiatives that were reflected by reducing costs and improving efficiency.

“The use of the AIMA tool in the process of transformation into artificial intelligence had a great impact in starting to transform our services in a right and systematic way..”

Dr Samira , General Manager of Dubai Quailty Group

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Dubai Quality Group

Problem: Build effective AI team and Qualified Trainers to deliver IAIDL® Program for different government entities in Oman 

Solution: by using IAIDL® capacity building framework ,we were able to develop a clear road map to include the artificial intelligence in the Country services.

“We found that IAIDL® is the best standardization methodology and world-leading practice in AI transformation, so this practice had to be adopted to ensure a proper AI transformation and effective positive cirizneship that align with oman 2040”

Yaroub mammary Ai team Manager

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Adnoc100x Train 350 employees on IAIDL® and AIMA​

Problem: ADNOC identified a critical need to upskill its workforce in AI and Future Mobility Technology (FMT) to build a specialized team capable of supporting their ambitious 100x initiatives. However, they faced challenges in finding a comprehensive training program that could equip their employees with the necessary skills and knowledge to achieve these goals.​

Solution: ADNOC partnered with IAIDL® authorized provider and implemented the IAIDL® framework to systematically upskill their employees. This training enabled ADNOC to build a highly skilled AI and FMT team, well-prepared to drive and support the 100x initiatives effectively across the organization.

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Bolt​

Problem: To assess Bolt's AI maturity and provide a structured approach to adopting AI and FMT solutions that would maximize their impact, improve customer experiences, and streamline operations.​

Solution: Bolt partnered with IAIDL® to utilize the Artificial Intelligence Maturity Assessment (AIMA) tool. AIMA is a comprehensive framework developed by IAIDL® to measure an organization's AI maturity across multiple dimensions, including technology, data, strategy, skills, and governance.

"Partnering with IAIDL® and using their AIMA framework was a game-changer for us. The maturity assessment provided a clear understanding of where we stood with our AI capabilities and what steps we needed to take to advance. This structured approach ensured that we adopted the right AI and FMT solutions tailored to our specific needs, leading to remarkable improvements in our operations and customer service.“

Mihkel Tamm, Head of Technology

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UAE Sharjah polcing- Building Ai Team ​

Problem: Build effective AI team and Qualified Trainers to deliver IAIDL® Program for different policing and defence Activities 

Solution: by using IAIDL® capacity building framework ,we were able to develop a clear road map to include the artificial intelligence in the policing and defense services.

The IAIDL® capacity building framework was instrumental in our success. It provided a structured approach that not only helped us build a highly effective AI team but also ensured our trainers were fully qualified to deliver IAIDL® programs tailored to our unique needs in policing and defense. The clear roadmap we developed through this framework has positioned us to seamlessly integrate AI into our operations, enhancing both efficiency and effectiveness in our services.

Aref Alshariff , Colonel

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Nokia Academy

Problem: Nokia recognized the need to enhance their workforce's proficiency in AI and Future Mobility Technology (FMT) to stay ahead in the rapidly evolving tech landscape. However, they faced challenges in finding a comprehensive and effective training methodology that could upskill their employees across various departments to meet the demands of cutting-edge AI and FMT solutions.​

Solution: Nokia chose IAIDL® 's robust training solution to address this challenge. By implementing IAIDL® ’s comprehensive competency plan, Nokia was able to systematically upskill their employees, equipping them with the necessary AI and FMT expertise. This strategic initiative not only elevated the technical capabilities of their workforce but also empowered them to drive innovation and maintain a competitive edge in the industry

"Partnering with IAIDL® for our AI and FMT training was a pivotal decision for Nokia. The comprehensive competency plan they provided was not just about upskilling—it was about transforming our workforce into a future-ready team. The implementation was seamless, and the results were beyond our expectations. Our employees now possess the cutting-edge skills needed to innovate and lead in the tech industry, ensuring Nokia remains at the forefront of AI and mobility technologies.“

Mr. Otham , Academy Director

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SWCC KSA ​

Problem: The Saline Water Conversion Corporation (SWCC) in Saudi Arabia identified a critical need to advance their workforce's skills in Artificial Intelligence (AI) and Future Mobility Technology (FMT) to maintain leadership in the rapidly changing technology sector. However, they faced significant challenges in discovering a comprehensive and effective training methodology that could elevate their employees' expertise across various departments to meet the growing demands of AI and FMT advancements.​

Solution: WCC turned to IAIDL® ’s accredited training solution to overcome this challenge. By integrating IAIDL® ’s comprehensive competency framework into their academy, SWCC systematically upskilled their employees, providing them with the essential AI and FMT knowledge and skills. This strategic move not only strengthened the technical capabilities of their workforce but also positioned SWCC to lead innovation and maintain a competitive advantage in the industry.

"IAIDL® 's accredited training was a game-changer for us. It systematically upskilled our workforce in AI and FMT, empowering SWCC to drive innovation and maintain our industry leadership."

Mr. Whebi, Academy accreditation

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British Standards Institute -Chartered​

Problem: The British Standards Institute (BSI) sought to enhance its global service offerings by incorporating cutting-edge AI and Future Mobility Technology (FMT) competencies. However, they needed a trusted and comprehensive training solution to ensure their teams worldwide were equipped with the necessary skills to deliver these advanced services effectively.​

Solution: BSI chose to partner with IAIDL® , accrediting themselves to provide IAIDL® ’s world-class AI and FMT training services globally. Through this partnership, BSI was able to upskill their teams across multiple regions, ensuring they are well-prepared to lead in delivering innovative AI which comply with ISO 42001–AI standards

"IAIDL® ’s training framework was a game-changer for us. It effectively upskilled our global teams, enabling BSI to deliver cutting-edge AI and FMT solutions and stay ahead in innovation.“

Mr. Krusad , IAIDL® consultant/Trainer in BSI

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TUHH-Develop Ai and FMT Competencies ​

Problem: Building a framework for TUHH in German to develop AI modules and Environment Tech Startups​

Solution: The competency framework of IAIDL® (International Artificial Intelligence Driving License) played a crucial role in helping TUHH develop AI modules by providing a structured approach to building AI capabilities within the organization. Here’s a brief explanation:​

1. Skill Identification and Development​

  • Targeted Training: The IAIDL® competency framework helped TUHH identify the specific AI skills required for developing their modules. By offering targeted training programs, it ensured that team members gained the necessary knowledge and expertise in AI technologies relevant to environmental applications.​

2. Certification and Standardization​

  • Benchmarking Skills: Through IAIDL® ’s certification process, TUHH was able to benchmark the AI competencies of their team against global standards. This ensured that the skills acquired were not only adequate but also met the industry’s best practices.​

3. Structured Learning Pathways​

  • Progressive Learning: The framework provided structured learning pathways, allowing TUHH’s employees to progressively develop their skills, from foundational AI concepts to advanced applications specific to environmental technology.​

4. Practical Application and Implementation​

  • Hands-On Projects: IAIDL® ’s framework emphasized practical application, enabling TUHH’s team to work on real-world projects as part of their learning. This hands-on experience was instrumental in the rapid development and deployment of AI modules.

"The collaboration with IAIDL® has been transformative for our team at TUHH. The structured approach provided by their competency framework has not only enhanced our AI skills but also enabled us to pioneer innovative solutions in environmental technology. The hands-on experience and targeted training were key to our success in developing cutting-edge AI modules.“

Dr. Klaus Müller, Project Lead at TUHH:

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