AI FOR GOOD
In today’s rapidly evolving business environment, Artificial Intelligence (AI) is revolutionizing how marketing strategies are conceived and executed. AI also enhances key marketing frameworks like POST (Profile-Objective-Strategy-Tactics), 3P (Pre-Proper-Post), and ARP (Acquisition-Retention-Penetration) to help businesses sell more products, to more people, more frequently, and at higher margins.
POST (Profile-Objective-Strategy-Tactics)
3P (Pre-Proper-Post)
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ARP (Acquisition-Retention-Penetration)
In conclusion, AI is transforming marketing from profiling to campaign execution, offering businesses the chance to revolutionize their approach and set themselves apart. By harnessing AI’s potential, marketers can effectively sell more, to more people, more often, and at higher value.
AI for Good: Aligning with the 17 UN Sustainable Development Goals (SDG)
The United Nations Sustainable Development Goals (SDGs) represent a global blueprint for creating a better world by 2030. The 17 SDGs were established in 2015 as part of the 2030 Agenda for Sustainable Development. These global objectives aim to address some of the most pressing challenges facing the world, including poverty, hunger, inequality, and climate change. The SDGs are:
No Poverty: Microfinance platforms use AI to assess credit risk for individuals without formal credit histories, helping them access small loans. AI models analyze behavioral and transactional data to enable financial inclusion.
Zero Hunger: AI-powered precision agriculture is revolutionizing farming. By analyzing soil data, weather patterns, and crop health, AI helps farmers optimize their yield and reduce waste, contributing to food security.
Good Health and Well-being: AI-enabled diagnostic tools are providing affordable and timely healthcare in underserved areas. These systems use machine learning to detect diseases like malaria, tuberculosis, and even certain cancers through medical images and data.
Quality Education: AI-driven personalized learning platforms tailor education to the unique needs of each student. AI can assess a student’s learning style and progress, offering customized lessons that enhance their understanding and retention.
Gender Equality: AI is being used to identify and address gender biases in hiring, promotion, and pay. AI-driven tools analyze job descriptions, performance reviews, and compensation data to highlight areas where gender equality can be improved.
Clean Water and Sanitation: AI-powered water monitoring systems can detect leaks, contaminants, and inefficiencies in water supply networks, ensuring clean water access for more people. AI is also being used to predict water shortages and manage resources.
Affordable and Clean Energy: AI enhances the efficiency of renewable energy systems by optimizing energy generation and consumption. For example, AI algorithms can predict energy demand and adjust solar or wind power generation accordingly.
Decent Work and Economic Growth: AI-powered job-matching platforms are improving employment opportunities by matching skills with job openings more effectively. These systems also provide career development advice based on market trends and individual data.
Industry, Innovation, and Infrastructure: AI is revolutionizing supply chain management by predicting demand, optimizing routes, and reducing inefficiencies. In manufacturing, AI-powered robots and automation are driving productivity while minimizing waste.
Reduced Inequality: AI is being used to analyze and identify patterns of inequality in education, healthcare, and employment. This data-driven approach enables governments and organizations to design policies and programs to bridge the gap.
Sustainable Cities and Communities: AI is a core component of smart cities, where it’s used for traffic management, waste reduction, and energy efficiency. AI-powered systems can analyze real-time data to optimize urban planning and infrastructure.
Responsible Consumption and Production: AI helps companies track their supply chains to ensure sustainability. By analyzing production processes and consumer data, AI can identify inefficiencies and suggest more eco-friendly alternatives.
Climate Action: AI models can predict climate patterns and help organizations mitigate their carbon footprint. AI is also being used in reforestation projects, optimizing tree planting strategies to maximize carbon capture.
Life Below Water: AI is being used to monitor marine biodiversity, track illegal fishing, and map ocean pollution. AI-powered drones and underwater robots are helping scientists understand and protect ocean ecosystems.
Life on Land: AI tools are aiding conservation efforts by tracking wildlife populations and poaching activity in real-time. AI also helps optimize land use for sustainable agriculture and forest management.
Peace, Justice, and Strong Institutions: AI is being leveraged to analyze large datasets related to crime and corruption, helping governments improve transparency and justice systems. AI-driven platforms are also used to monitor human rights abuses globally.
Partnerships for the Goals: AI-powered platforms are facilitating partnerships by connecting stakeholders, enabling data sharing, and coordinating global efforts to address the SDGs.
AUTHOR BIOGRAPHY : DANIEL CF NG
- President, CMO Council - APAC
- EVP, Graphen AI
- Managing Partner, Omni-Integra
- Ambassador, Myraa Technologies
- Advisor, Sustainability Business Network
- Editor-at-Large, CXposè
- Fellow, Chartered Institute of Marketing (UK)
- Advisor, Sunway University, MAD School, SUSS, SMU
- Technology Advisor, Singapore Chinese Chambers of Commerce & Industries
- Asia’s Power Leader (Marketing & Communications 2021-2023), White Page International
- Asia Most Admired Marketing Leaders (2023), CMO Asia
Daniel CF Ng’s career spans over four decades, marking him a trailblazer in the ICT and marketing industries. From humble beginnings as a Software Engineer to leadership roles in some of the world's largest technology companies like IBM, Red Hat, and Microsoft, Daniel has consistently demonstrated his capacity to lead transformative change in business and society.​​
During his tenure at Sun Microsystems, he played a key role in driving the company's MSC (Multimedia Super Corridor) status in Malaysia, contributing to the growth of the nation’s digital economy. His focus on data evolution—from MIPs to Artificial Intelligence and Sustainability—keeps him at the forefront of technological advancements, driving forward-thinking solutions across industries.
What sets Daniel apart is his unique leadership mantra: “Humanising Technology, not mechanising people.” He believes that technology should enhance human capabilities rather than replace them, fostering an environment where innovation serves humanity. His work at Graphen AI is a testament to this vision, where he leads efforts to use AI as a tool for progress while ensuring that the human element remains central to all technological advancements.
A creative, innovative leader and a sought-after speaker, Daniel champions collaboration, open partnerships, and knowledge-sharing as essential drivers for success. His influence spans across industries, uniting people and technology to solve real-world challenges and foster sustainable growth. Daniel’s ability to blend his expertise in technology with his passion for human development makes him a leader who not only drives results but also creates lasting, positive impact.