首页 /研究 /Artificial Intelligence (AI) Transformation Leadership Consulting Framework
OTHER

Artificial Intelligence (AI) Transformation Leadership Consulting Framework

Farhan Murtza, Alia Murtza

发表年份
2023
引用次数
4
访问权限
开放获取

摘要

In the current business landscape, organizational leaders are encountering unprecedented challenges driven by rapid technological advancements.These changes are poised to significantly transform the traditional methods of conducting business.To remain competitive and ensure their survival, organizational leaders must embrace the adoption of emerging innovations such as Robotics, Internet of Things (IoT), 3D Printing (3DP), Augmented Reality (AR), Virtual Reality (VR), and other technologies that are powered by Artificial Intelligence (AI).To remain relevant and competitive during the 4th Industrial Revolution (4IR), companies need to update their technological tools and embrace effective AI transformation.Moreover, it is crucial to foster a company-wide shift in mindset to effectively implement AI technologies and lead the business in adapting to modern trends and advancements.Farhan Murtza's Artificial Intelligence Transformation Leadership Consulting (AITL-Consulting) presents a strategic solution known as the Farhan-5As Application, which is tailored to assist organizations in effectively implementing artificial intelligence (AI) in their operations.The AITL-Consulting framework follows a structured and systematic approach comprising five stages: Analysis, Architect, Apply, Ascertain, and Adjustment.The AITL-Consulting framework is designed to be user-friendly for consultants, making it easier for them to navigate and lead organizations through the complex process of AI implementation.By following the Farhan-5As Application, businesses can effectively harness the power of AI, enhancing efficiency, decision-making, and overall performance in the competitive landscape driven by emerging technologies.

关键词

Transformation (genetics)ManagementInformation technology consultingKnowledge managementEngineeringArtificial intelligenceBusinessEngineering managementComputer scienceInformation system

相关论文

查看 OTHER 分类全部论文