Mohammad Alsyasneh is a researcher, INTI International University, 71800 Negeri Sembilan, Malaysia. He is a dedicated researcher currently affiliated with INTI International University in Negeri Sembilan, Malaysia. With a master's degree in Business Administration, he has cultivated a strong foundation in academia and professional practice. His primary research interests include accounting, information technology, strategic management, and organizational behavior, reflecting his multidisciplinary expertise and a commitment to advancing knowledge in these critical areas of business and management. Alsyasneh's professional journey is marked by a wealth of experience gained through his managerial roles with the United Nations and various international non-governmental organizations (NGOs). Over the years, he has held multiple leadership positions, specializing in program management and support management. His work involved designing and executing complex programs, optimizing organizational processes, and fostering sustainable development initiatives in challenging and dynamic environments.  Dr. Jolly Masih is an associate professor and scientist in Business Analytics and Marketing at BML Munjal University, INDIA, ORCID: 0000-0002-8420-1517, Skills and Expertise: Big Data Analysis, R Programming, Consumer Behavior, Marketing, Agribusiness Management, Agricultural Economics With a diverse educational background, Dr. Masih brings a wealth of expertise to her role. She completed her Post-Doctoral Research at the esteemed Erasmus School of Economics, Erasmus University, Netherlands. Additionally, she holds an Executive Post-Graduation in Business Analytics from IIM Indore and earned her Ph.D. in Marketing and Big Data Analytics from IABM, India, in collaboration with Drexel University, USA. Dr. Masih's areas of expertise span business analytics, marketing strategy, consumer behaviour analysis, and data-driven decision-making.

• 1. Intelligent CoreTechnologies that facilitate AI-based transformation of core systems- AI for agile frameworks in traditional business units.- 2. Generative artificial intelligence (GenAI).- 3. Issues with AI feedback loops/ Recursive Loops- AI and Agile Project Management.- 4. Quantum Computing in Business Innovation- Machine Learning- Deep Learning- Data architecture coherence.-  5. Predictive Analytics.

Mohammad Alsyasneh is a researcher, INTI International University, 71800 Negeri Sembilan, Malaysia. He is a dedicated researcher currently affiliated with INTI International University in Negeri Sembilan, Malaysia. With a master's degree in Business Administration, he has cultivated a strong foundation in academia and professional practice. His primary research interests include accounting, information technology, strategic management, and organizational behavior, reflecting his multidisciplinary expertise and a commitment to advancing knowledge in these critical areas of business and management. Alsyasneh's professional journey is marked by a wealth of experience gained through his managerial roles with the United Nations and various international non-governmental organizations (NGOs). Over the years, he has held multiple leadership positions, specializing in program management and support management. His work involved designing and executing complex programs, optimizing organizational processes, and fostering sustainable development initiatives in challenging and dynamic environments.  Dr. Jolly Masih is an associate professor and scientist in Business Analytics and Marketing at BML Munjal University, INDIA, ORCID: 0000-0002-8420-1517, Skills and Expertise: Big Data Analysis, R Programming, Consumer Behavior, Marketing, Agribusiness Management, Agricultural Economics With a diverse educational background, Dr. Masih brings a wealth of expertise to her role. She completed her Post-Doctoral Research at the esteemed Erasmus School of Economics, Erasmus University, Netherlands. Additionally, she holds an Executive Post-Graduation in Business Analytics from IIM Indore and earned her Ph.D. in Marketing and Big Data Analytics from IABM, India, in collaboration with Drexel University, USA. Dr. Masih's areas of expertise span business analytics, marketing strategy, consumer behaviour analysis, and data-driven decision-making.

• 1. Intelligent CoreTechnologies that facilitate AI-based transformation of core systems- AI for agile frameworks in traditional business units.- 2. Generative artificial intelligence (GenAI).- 3. Issues with AI feedback loops/ Recursive Loops- AI and Agile Project Management.- 4. Quantum Computing in Business Innovation- Machine Learning- Deep Learning- Data architecture coherence.-  5. Predictive Analytics.

Mohammad Alsyasneh is a researcher, INTI International University, 71800 Negeri Sembilan, Malaysia. He is a dedicated researcher currently affiliated with INTI International University in Negeri Sembilan, Malaysia. With a master's degree in Business Administration, he has cultivated a strong foundation in academia and professional practice. His primary research interests include accounting, information technology, strategic management, and organizational behavior, reflecting his multidisciplinary expertise and a commitment to advancing knowledge in these critical areas of business and management. Alsyasneh's professional journey is marked by a wealth of experience gained through his managerial roles with the United Nations and various international non-governmental organizations (NGOs). Over the years, he has held multiple leadership positions, specializing in program management and support management. His work involved designing and executing complex programs, optimizing organizational processes, and fostering sustainable development initiatives in challenging and dynamic environments.  Dr. Jolly Masih is an associate professor and scientist in Business Analytics and Marketing at BML Munjal University, INDIA, ORCID: 0000-0002-8420-1517, Skills and Expertise: Big Data Analysis, R Programming, Consumer Behavior, Marketing, Agribusiness Management, Agricultural Economics With a diverse educational background, Dr. Masih brings a wealth of expertise to her role. She completed her Post-Doctoral Research at the esteemed Erasmus School of Economics, Erasmus University, Netherlands. Additionally, she holds an Executive Post-Graduation in Business Analytics from IIM Indore and earned her Ph.D. in Marketing and Big Data Analytics from IABM, India, in collaboration with Drexel University, USA. Dr. Masih's areas of expertise span business analytics, marketing strategy, consumer behaviour analysis, and data-driven decision-making.

• 1. Intelligent CoreTechnologies that facilitate AI-based transformation of core systems- AI for agile frameworks in traditional business units.- 2. Generative artificial intelligence (GenAI).- 3. Issues with AI feedback loops/ Recursive Loops- AI and Agile Project Management.- 4. Quantum Computing in Business Innovation- Machine Learning- Deep Learning- Data architecture coherence.-  5. Predictive Analytics.